source register

{
  "id": "com-a-001",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Auctor",
  "url": "https://www.getauctor.com/",
  "segment": "ai-discovery",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "AI agents join enterprise software implementation discovery and refinement calls, capture requirements as they surface, and generate SOWs, proposals, architecture docs, user stories, test plans and configurations from them.",
  "limitations": "getauctor.com returned 403 to fetch; verification is via YC's first-party company profile, not the vendor site. Nothing public establishes extraction accuracy, how contradictions between sessions are resolved, or whether the agent ever asks a clarifying question. The '70% of enterprise implementations experience significant delays' figure is a vendor launch-post claim, unsourced.",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "com-a-002",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Cloobot X",
  "url": "https://www.cloobot.ai/",
  "segment": "ai-discovery",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "A 'CRM for Requirements' that converts workshops, stakeholder conversations, notes and SoWs into structured requirements with live traceability from requirement to user story to Jira ticket to release.",
  "limitations": "The '80-90% accuracy' converting SoWs and workshop notes into requirements is a customer testimonial on the vendor's own page, not a measured benchmark. No public detail on how contradictions between two sources are surfaced or adjudicated, nor on what happens when coverage analysis finds a gap.",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "com-a-003",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Fin for Sales (Intercom)",
  "url": "https://fin.ai/sales/",
  "segment": "ai-discovery",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "An inbound AI SDR that runs sales conversations end to end — engaging visitors, guiding discovery on pricing/features/objections, qualifying against a playbook, and booking a meeting, starting a trial, or handing off with full context.",
  "limitations": "Public docs do not state how many questions it asks, in what order, or whether ordering adapts to answers. No published accuracy for qualification decisions or false-disqualification rate. Confirmed gap: no automated email follow-up sequences after qualification.",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "com-a-004",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Avoma",
  "url": "https://www.avoma.com/",
  "segment": "conversation-intelligence",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "All-in-one AI meeting assistant and conversation/revenue intelligence platform that records, transcribes, and structures meetings, and automatically maps meeting content into sales-methodology CRM fields.",
  "limitations": "The vendor page markets outcomes (4+ hrs/week saved, 40% win-rate lift) without describing the underlying models or, critically, how an extracted MEDDIC field ties back to specific transcript evidence. Whether a filled field carries a citation or a confidence score is not established publicly.",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "com-a-005",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Gong",
  "url": "https://www.gong.io/",
  "segment": "conversation-intelligence",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "Revenue AI platform that automatically captures every customer interaction, maps it to business context in a 'Revenue Graph', and surfaces deal risk and opportunity insights.",
  "limitations": "The main product page is notably thin on mechanism: it does not name trackers, next-step extraction, or evidence-structured discovery, and the help-centre tracker doc 404'd. Pricing is unpublished; the $100k-200k/yr for 20-50 seats figure is third-party. Gong's own page establishes marketing positioning far more than it establishes how discovery is structured into evidence.",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "com-a-006",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Lawmatics",
  "url": "https://www.lawmatics.com/",
  "segment": "intake",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "AI-powered legal CRM whose intake product turns inquiries into booked consults and signed agreements, with automatic conflict scanning and AI lead scoring.",
  "limitations": "Conditional/branching form logic is not claimed by that name; the closest claims are dynamic email workflows and stage-based triggers, which are downstream automation rather than adaptive questioning. Merlin Copilot and Merlin Engage are marked 'coming soon', so the AI surface that actually ships is narrower than the page implies.",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "com-a-007",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Loopio",
  "url": "https://loopio.com/",
  "segment": "intake",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "search-only",
  "claim": "RFP, DDQ and security-questionnaire response platform that auto-populates answers from a curated content Library and scores every AI-generated answer for confidence.",
  "limitations": "Fetch of loopio.com was not completed (model rate limit), so confidence-indicator specifics rest on Loopio's own blog content surfaced via search rather than a fetched product page. The scoring scale, thresholds, and what a low score actually blocks are not established. '1,700 companies' and '61% achieve ROI within a year' are vendor claims from Loopio's own benchmark report.",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "com-a-008",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Conveyor",
  "url": "https://www.conveyor.com/",
  "segment": "intake",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Security-questionnaire automation that auto-completes complex questionnaires by pulling from existing documents, wikis and external sites rather than requiring a manually curated answer library.",
  "limitations": "Fetch not completed (rate limit); the '95%+ first-pass accuracy' claim reached me through a third-party comparison article citing Conveyor, so it is an unverified vendor claim at one remove. Whether uncertain answers are flagged for review is not established.",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "com-a-009",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Zoovu",
  "url": "https://zoovu.com/",
  "segment": "guided-selling",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "AI product-discovery platform unifying search, guided-selling assistants, product finders, quizzes and CPQ/configuration on one engine for B2C and B2B ecommerce.",
  "limitations": "The homepage does NOT explain the mechanism: no first-party statement of what questions are asked, whether questioning branches on prior answers, or how answers are scored against attributes. Stepwise selection and attribute matching are my inference from UI screenshots, not vendor claims. Two dedicated guided-selling URLs 404'd. Conversion figures (+200% Trek, +53% Canon) are vendor-published customer results.",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "com-a-010",
  "part": "P01",
  "source_class": "commercial",
  "identity": "excentos",
  "url": "https://www.excentos.com/",
  "segment": "guided-selling",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "Guided-selling software (Product Finder, Product Configurator, Set Builder, Troubleshooting Guide) blending traditional guided selling with generative AI to act as a digital advisor.",
  "limitations": "Homepage does not explain adaptive branching mechanics — how an answer dynamically alters the question path — nor the scoring algorithm ranking products against answers. '+25% conversion, +98% engagement, converting up to 5x more often' are marketing/testimonial figures.",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "com-a-011",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Ignition",
  "url": "https://www.ignitionapp.com/",
  "segment": "intake",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "Proposal-to-payment platform for professional services: online proposals that double as engagement agreements, capturing payment details at signature and automating billing thereafter.",
  "limitations": "No public detail on how AI price insights are derived or on what data. The platform scopes and prices but does not itself learn about the client's business — discovery is entirely the practitioner's job before a proposal exists. Pricing from $49/mo (or $39 annual) for solopreneurs.",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "com-a-012",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Karbon",
  "url": "https://www.karbonhq.com/",
  "segment": "intake",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "Accounting practice-management platform combining workflow automation, email triage, client collaboration and an AI coworker (Kai), with onboarding delivered as templated workflows and client requests.",
  "limitations": "Requests are templated per service type, not adaptive to what the client has already revealed. The headline '19.9 hours saved per employee per week' comes from Karbon's own 2026 Firm Usage Survey covering 14% of its customer base — self-selected and self-reported.",
  "disposition": "adjacent",
  "license_claimed": null
}

{
  "id": "com-a-013",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Demandbase",
  "url": "https://www.demandbase.com/products/data/",
  "segment": "enrichment",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "Account intelligence platform that identifies anonymous website visitors as companies, enriches CRM records at scale, and combines firmographic, technographic, buyer and intent data into an account view.",
  "limitations": "The product page makes no first-party claim about forms enrichment and does not name specific appended fields or the identification methodology — the Toggle Fields and hidden-field mechanics come from Demandbase's support documentation surfaced in search, not from the fetched page. Fill rates are not published.",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "com-a-014",
  "part": "P01",
  "source_class": "commercial",
  "identity": "HubSpot Breeze Intelligence (formerly Clearbit)",
  "url": "https://www.hubspot.com/products/breeze-intelligence",
  "segment": "enrichment",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Native HubSpot enrichment layer, the absorbed remains of Clearbit, offering firmographic enrichment and smart form shortening inside the CRM.",
  "limitations": "Not fetched; Clearbit as a standalone product no longer exists (HubSpot acquired it in late 2023) so any Clearbit-branded evidence is stale. Full functionality reportedly requires HubSpot as primary CRM. Field-level fill rates unpublished.",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "com-a-015",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Clay",
  "url": "https://www.clay.com/",
  "segment": "enrichment",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "GTM data platform running waterfall enrichment across 100+ data providers, with an AI research agent (Claygent) that browses the web to answer custom research questions per account.",
  "limitations": "Fetch not completed (rate limit), so the Claygent mechanism description rests on third-party comparison articles. Pricing from ~$185/mo is third-party. Accuracy explicitly varies by which providers a workflow queries — there is no single accuracy number, which is itself the point of the waterfall.",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "com-a-016",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Apollo.io",
  "url": "https://www.apollo.io/",
  "segment": "enrichment",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Self-serve B2B database and sales-engagement platform with an enrichment API, claiming 230M+ contacts and 30M+ companies.",
  "limitations": "Not fetched. The 230M/30M counts are vendor claims. Independent benchmarks cited in comparison articles put self-serve platforms including Apollo at 65-80% real accuracy against published claims of 95%+ — exactly the kind of headline number that should not be quoted at face value. No native demo-request enrichment workflow.",
  "disposition": "adjacent",
  "license_claimed": null
}

{
  "id": "com-a-017",
  "part": "P01",
  "source_class": "commercial",
  "identity": "ZoomInfo",
  "url": "https://www.zoominfo.com/",
  "segment": "enrichment",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Largest B2B database (claimed 500M+ contacts) with a company enrichment API returning firmographics, revenue, headcount, location, industry codes and social presence from a domain, name or ZoomInfo ID in one call.",
  "limitations": "Not fetched. Contact counts are vendor claims; accuracy is strongest for US enterprise and degrades elsewhere. Contracts reportedly $15k-50k+/yr, sales-led. Also owns Chorus, so its 'independent' comparisons of Gong are not neutral.",
  "disposition": "adjacent",
  "license_claimed": null
}

{
  "id": "com-a-018",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Chorus by ZoomInfo",
  "url": "https://www.zoominfo.com/products/conversation-intelligence",
  "segment": "conversation-intelligence",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Conversation intelligence enriched with ZoomInfo buyer intent and firmographic data, adding context about who is on the call directly into call analysis.",
  "limitations": "Not fetched. Acquired by ZoomInfo in 2021 and, per multiple third-party reviews, now positioned as a bundled component rather than a standalone product; reportedly needs an active ZoomInfo subscription for full value and does not coach during live calls (all analysis is post-call).",
  "disposition": "adjacent",
  "license_claimed": null
}

{
  "id": "com-a-019",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Clari (incl. Clari Copilot / Wingman)",
  "url": "https://www.clari.com/",
  "segment": "conversation-intelligence",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Revenue platform centred on forecasting and pipeline inspection, with Clari Copilot (formerly Wingman) providing conversation intelligence and real-time call guidance.",
  "limitations": "Not fetched. Real-time guidance capability sourced from third-party comparisons. Primary centre of gravity is forecasting, not discovery structuring, so relevance to intake is partial.",
  "disposition": "adjacent",
  "license_claimed": null
}

{
  "id": "com-a-020",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Salesloft",
  "url": "https://www.salesloft.com/",
  "segment": "conversation-intelligence",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Revenue orchestration platform with sales engagement, deal management, forecasting and conversation intelligence.",
  "limitations": "Not fetched. Engagement-first rather than discovery-first; its conversation intelligence is a component, and public evidence does not establish structured field extraction from discovery calls.",
  "disposition": "weak",
  "license_claimed": null
}

{
  "id": "com-a-021",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Fireflies.ai",
  "url": "https://fireflies.ai/",
  "segment": "conversation-intelligence",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Meeting recorder and AI notetaker with the broadest platform compatibility (Zoom, Teams, Google Meet, RingCentral, Webex, uploaded audio) and transparent tiered pricing including a free plan.",
  "limitations": "Not fetched. Notetaker-first: relevant as a capture substrate but public evidence does not establish methodology-field extraction or evidence-linked structuring comparable to Avoma's MEDDIC mapping.",
  "disposition": "adjacent",
  "license_claimed": null
}

{
  "id": "com-a-022",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Jiminny",
  "url": "https://jiminny.com/",
  "segment": "conversation-intelligence",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Conversation intelligence and coaching platform positioned for mid-market revenue teams.",
  "limitations": "Not fetched; known only through third-party alternative round-ups. No first-party mechanism evidence gathered.",
  "disposition": "adjacent",
  "license_claimed": null
}

{
  "id": "com-a-023",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Revenue.io",
  "url": "https://www.revenue.io/",
  "segment": "conversation-intelligence",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Salesforce-centric conversation intelligence with real-time coaching during live calls and automated methodology scoring.",
  "limitations": "Not fetched. Much of the comparative material about it is published by Revenue.io itself and is therefore self-interested.",
  "disposition": "adjacent",
  "license_claimed": null
}

{
  "id": "com-a-024",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Clio Grow",
  "url": "https://www.clio.com/",
  "segment": "intake",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Legal practice management suite with client intake forms, scheduling and onboarding integrated into matter management.",
  "limitations": "Intake feature page returned 403 to fetch, so no first-party mechanism claims were verified. Conditional logic and document automation depth unestablished from public evidence.",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "com-a-025",
  "part": "P01",
  "source_class": "commercial",
  "identity": "PracticePanther",
  "url": "https://www.practicepanther.com/",
  "segment": "intake",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Legal practice management with customisable intake forms, e-signatures and automated client onboarding.",
  "limitations": "Not fetched; sourced from comparison round-ups. No verified claim of adaptive questioning.",
  "disposition": "adjacent",
  "license_claimed": null
}

{
  "id": "com-a-026",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Legl",
  "url": "https://legl.com/",
  "segment": "intake",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "UK legal client onboarding and lifecycle platform combining automated onboarding with built-in KYC, KYB and AML compliance checks.",
  "limitations": "Not fetched. UK/regulatory-specific; screening coverage and false-positive rates unpublished in the evidence gathered.",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "com-a-027",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Content Snare",
  "url": "https://contentsnare.com/",
  "segment": "intake",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Client information and document collection tool built specifically for the problem of chasing clients for content, assets and answers.",
  "limitations": "contentsnare.com returned 403 to fetch, so all claims here are from search results and third-party comparisons rather than the fetched page. ~$35/mo is a third-party figure. The field-level completeness tracking is the mechanism worth confirming first-party later.",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "com-a-028",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Dubsado",
  "url": "https://www.dubsado.com/",
  "segment": "intake",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Client management platform for freelancers and small agencies automating the full intake sequence: forms, proposals, contracts, invoicing and workflows.",
  "limitations": "Not fetched; branching example comes from a third-party comparison article, not Dubsado's docs. Reportedly one to two weeks of setup before the first workflow runs. ~$28/mo annual is third-party.",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "com-a-029",
  "part": "P01",
  "source_class": "commercial",
  "identity": "HoneyBook",
  "url": "https://www.honeybook.com/",
  "segment": "intake",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "All-in-one clientflow platform for independent service businesses covering inquiry capture, proposals, contracts, payments and scheduling.",
  "limitations": "Not fetched. US/Canada only per third-party reviews; stops before project management. Built for solo creative professionals rather than onboarding at volume — limited relevance as a discovery-intelligence exemplar.",
  "disposition": "weak",
  "license_claimed": null
}

{
  "id": "com-a-030",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Bonsai",
  "url": "https://www.hellobonsai.com/",
  "segment": "intake",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Freelancer/agency business platform bundling proposals, attorney-vetted contract templates, invoicing, accounting and tax tools.",
  "limitations": "Not fetched. Banking features US-only. Back-office-first; no meaningful discovery-intelligence mechanism in public evidence.",
  "disposition": "weak",
  "license_claimed": null
}

{
  "id": "com-a-031",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Financial Cents",
  "url": "https://financial-cents.com/",
  "segment": "intake",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "search-only",
  "claim": "Accounting practice management platform with client onboarding via workflow templates and automated client document chasing.",
  "limitations": "Not fetched directly; the Ignition integration mechanics are documented first-party by Ignition and by trade press (CPA Practice Advisor, Aug 2025) and are US/Canada only. Karbon's comparison page calling it feature-shallow is a competitor's assessment and should not be treated as fact.",
  "disposition": "adjacent",
  "license_claimed": null
}

{
  "id": "com-a-032",
  "part": "P01",
  "source_class": "commercial",
  "identity": "TaxDome",
  "url": "https://taxdome.com/",
  "segment": "intake",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Accounting practice management with client portal, organisers, e-signature and pipeline-based onboarding.",
  "limitations": "Not fetched; named in comparison round-ups. The prior-year pre-population pattern is characteristic of tax organisers generally and should be confirmed against TaxDome's own docs before being quoted.",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "com-a-033",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Canopy",
  "url": "https://www.getcanopy.com/",
  "segment": "intake",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Accounting practice management suite with client portal, document management and engagement workflows.",
  "limitations": "Not fetched; only named in comparison articles. No mechanism evidence gathered.",
  "disposition": "weak",
  "license_claimed": null
}

{
  "id": "com-a-034",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Moxo",
  "url": "https://www.moxo.com/",
  "segment": "intake",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Client interaction and workflow automation platform used for onboarding in legal, financial services and professional services, coordinating tasks and document exchange in a shared workspace.",
  "limitations": "Not fetched. Orchestration-first — it moves an onboarding process along but does not itself reason about what the client needs.",
  "disposition": "adjacent",
  "license_claimed": null
}

{
  "id": "com-a-035",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Motion.io",
  "url": "https://www.motion.io/",
  "segment": "intake",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Client onboarding and collaboration platform for agencies and firms, automating the client journey through portals and workflows.",
  "limitations": "Not fetched. The 'onboarding cut from 10+ days to three' figure is a single customer anecdote reported in an ABA Law Practice tech report (2024), not a measured average.",
  "disposition": "adjacent",
  "license_claimed": null
}

{
  "id": "com-a-036",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Assembly",
  "url": "https://assembly.com/",
  "segment": "intake",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "White-label client portal software serving law firms, accounting and bookkeeping practices, marketing agencies and consultancies, with secure file sharing and automations.",
  "limitations": "Not fetched. Portal/infrastructure play rather than discovery intelligence.",
  "disposition": "weak",
  "license_claimed": null
}

{
  "id": "com-a-037",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Osprey Approach",
  "url": "https://ospreyapproach.com/",
  "segment": "intake",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "UK legal practice suite combining case management, practice management, legal accounting and client onboarding with digital identity verification.",
  "limitations": "Not fetched. UK-specific; verification vendor and pass rates unestablished.",
  "disposition": "weak",
  "license_claimed": null
}

{
  "id": "com-a-038",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Clientmanager.io",
  "url": "https://www.clientmanager.io/",
  "segment": "intake",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Client onboarding and management tool aimed at agencies, covering onboarding checklists and client tracking.",
  "limitations": "Not fetched; encountered only via a content-marketing article on law-firm onboarding, which is itself a weak signal of product substance.",
  "disposition": "weak",
  "license_claimed": null
}

{
  "id": "com-a-039",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Plutio",
  "url": "https://www.plutio.com/",
  "segment": "intake",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "All-in-one business management tool for freelancers covering projects, proposals, invoices and client onboarding.",
  "limitations": "Not fetched. Named mainly in its own comparison content. Shallow relevance.",
  "disposition": "weak",
  "license_claimed": null
}

{
  "id": "com-a-040",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Responsive (formerly RFPIO)",
  "url": "https://www.responsive.io/",
  "segment": "intake",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Response management platform for high-volume RFPs and security questionnaires, with AI-assisted drafting from a centralised content library and workflow governance across concurrent projects.",
  "limitations": "Not fetched. Described as workflow-first versus Loopio's library-first, per third-party comparisons which include vendor-published ones. Third-party reviews note AI suggestions require manual validation.",
  "disposition": "adjacent",
  "license_claimed": null
}

{
  "id": "com-a-041",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Vanta",
  "url": "https://www.vanta.com/",
  "segment": "intake",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Compliance automation platform that bundles a trust centre and security questionnaire support alongside continuous control monitoring.",
  "limitations": "Not fetched. Compliance rather than client discovery; the relevance is the architectural pattern, not the domain.",
  "disposition": "adjacent",
  "license_claimed": null
}

{
  "id": "com-a-042",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Drata",
  "url": "https://drata.com/",
  "segment": "intake",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Compliance automation with continuous control monitoring and trust centre, competing directly with Vanta.",
  "limitations": "Not fetched. Same domain caveat as Vanta; included for the pattern, not the segment fit.",
  "disposition": "weak",
  "license_claimed": null
}

{
  "id": "com-a-043",
  "part": "P01",
  "source_class": "commercial",
  "identity": "SafeBase",
  "url": "https://safebase.io/",
  "segment": "intake",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Trust-centre-first platform that pre-empts security questionnaires by publishing a self-serve security posture page.",
  "limitations": "Not fetched. Whether it materially reduces questionnaire volume is a vendor premise, not established by evidence I gathered.",
  "disposition": "adjacent",
  "license_claimed": null
}

{
  "id": "com-a-044",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Whistic",
  "url": "https://www.whistic.com/",
  "segment": "intake",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Vendor security assessment and trust-profile platform for both sending and answering security assessments.",
  "limitations": "Not fetched; named in a third-party alternatives round-up only.",
  "disposition": "weak",
  "license_claimed": null
}

{
  "id": "com-a-045",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Outreach (AI Prospecting Agent)",
  "url": "https://www.outreach.io/",
  "segment": "ai-discovery",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Sales execution platform whose AI Prospecting Agent researches accounts, generates messaging, prioritises targets and enrols prospects into sequences.",
  "limitations": "Not fetched. Outbound-first; the research is for message personalisation rather than for scoping a solution. Depth of the research brief unestablished.",
  "disposition": "adjacent",
  "license_claimed": null
}

{
  "id": "com-a-046",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Persana AI",
  "url": "https://www.persana.ai/",
  "segment": "ai-discovery",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Autonomous AI sales agent managing outreach from lead discovery to meeting booking, finding qualified leads and personalising with live data.",
  "limitations": "Not fetched; known only from a third-party 'we tried 10 AI sales agents' round-up. Autonomy claims unverified.",
  "disposition": "weak",
  "license_claimed": null
}

{
  "id": "com-a-047",
  "part": "P01",
  "source_class": "commercial",
  "identity": "SellScale / Selix",
  "url": "https://www.sellscale.com/",
  "segment": "ai-discovery",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "search-only",
  "claim": "AI sales agent (Selix) that posts updates in Slack explaining what it is researching and what it discovered, and proposes actions for human review before execution.",
  "limitations": "Not fetched; the Slack narration and approval-gate behaviour is described in SellScale's own published field guide, so it is a first-party claim reached through search rather than a fetched product page. No evidence on how often proposals are rejected.",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "com-a-048",
  "part": "P01",
  "source_class": "commercial",
  "identity": "MindStudio",
  "url": "https://www.mindstudio.ai/",
  "segment": "ai-discovery",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "search-only",
  "claim": "AI agent building platform; publishes an explicit discovery-question methodology for scoping and pricing AI automation engagements, and ships a product-manager agent ('Remy').",
  "limitations": "This is vendor content marketing describing a methodology, not a shipped discovery product; 'Remy' was not verified as generally available. The claim that pricing mistakes trace to skipped discovery is asserted, not evidenced.",
  "disposition": "adjacent",
  "license_claimed": null
}

{
  "id": "com-a-049",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Inleado",
  "url": "https://www.inleado.com/",
  "segment": "enrichment",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Purpose-built inbound demo-request enrichment: prospect supplies name and business email, the platform extracts the domain, appends revenue, employees, industry and location in milliseconds, then routes by fit.",
  "limitations": "Not fetched. Small vendor known through its own comparison content, which self-servingly notes that ZoomInfo and Apollo lack a native demo-request enrichment workflow. 'Milliseconds' is a vendor claim; fill rate and accuracy unpublished.",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "com-a-050",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Explorium",
  "url": "https://www.explorium.ai/",
  "segment": "enrichment",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "search-only",
  "claim": "External data platform with a documented Firmographics enrichment API endpoint returning revenue, company size, industry classification and other attributes.",
  "limitations": "Only the API reference documentation was surfaced (explorium-api.readme.io), not fetched directly. Coverage, fill rates and pricing unestablished.",
  "disposition": "adjacent",
  "license_claimed": null
}

{
  "id": "com-a-051",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Cognism",
  "url": "https://www.cognism.com/",
  "segment": "enrichment",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "European-focused B2B data platform with GDPR-structural compliance, DNC screening across 12 EU countries, and phone-verified contact data.",
  "limitations": "Not fetched. '87% connect rates' and '93%+ deliverability' are vendor claims; independent benchmarks cited put premium providers at 90%+ only within their primary geography. Little relevance to discovery reasoning beyond data supply.",
  "disposition": "weak",
  "license_claimed": null
}

{
  "id": "com-a-052",
  "part": "P01",
  "source_class": "commercial",
  "identity": "CanvasLogic",
  "url": "https://canvaslogic.com/",
  "segment": "guided-selling",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "CPQ combining configuration logic with 3D visual product configuration for modular, variant-rich manufactured products.",
  "limitations": "Not fetched. Constraint-propagation framing is my characterisation of how rule-based configurators work, not a quoted vendor claim.",
  "disposition": "adjacent",
  "license_claimed": null
}

{
  "id": "com-a-053",
  "part": "P01",
  "source_class": "commercial",
  "identity": "PROS Smart CPQ",
  "url": "https://pros.com/",
  "segment": "guided-selling",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "CPQ with an AI pricing and recommendation engine that analyses past sales records and market data to identify optimal pricing, upsell and bundling.",
  "limitations": "Not fetched; sourced from a comparison round-up. No evidence on model inputs or accuracy.",
  "disposition": "adjacent",
  "license_claimed": null
}

{
  "id": "com-a-054",
  "part": "P01",
  "source_class": "commercial",
  "identity": "SAP CPQ",
  "url": "https://www.sap.com/products/crm/cpq.html",
  "segment": "guided-selling",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Enterprise CPQ supporting user-guided sales processes, multi-level approvals and advanced pricing structures for complex assembly configuration.",
  "limitations": "Not fetched. Enterprise suite; guided-selling specifics buried in product documentation not reviewed here.",
  "disposition": "weak",
  "license_claimed": null
}

{
  "id": "com-a-055",
  "part": "P01",
  "source_class": "commercial",
  "identity": "Outfindo",
  "url": "https://outfindo.com/",
  "segment": "guided-selling",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Buyer-facing product-selection guide for ecommerce and self-serve B2B, converting product complexity into a short question flow.",
  "limitations": "Not fetched. Pricing (99 EUR/mo Essential, 599 EUR/mo Plus) is third-party. Small vendor; question-policy depth unestablished.",
  "disposition": "adjacent",
  "license_claimed": null
}

{
  "id": "oss-b-001",
  "part": "P01",
  "source_class": "oss",
  "identity": "process-intelligence-solutions/pm4py",
  "url": "https://github.com/process-intelligence-solutions/pm4py",
  "segment": "process-mining",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "Reference Python process-mining library: discovery (Alpha/Heuristics/Inductive miner), conformance checking, XES + OCEL 2.0 event logs, Petri nets/BPMN/process trees.",
  "limitations": "AGPL-3.0 is the trap: linking pm4py into a hosted Actionist service arguably triggers the network-copyleft clause, and the vendor sells a commercial license precisely because of this. Also requires a case ID + activity + timestamp triple that most SMB clients do not have lying around; log extraction is the real work, not the mining.",
  "disposition": "relevant",
  "license_claimed": "AGPL-3.0 — dual-licensed; README explicitly offers a separate paid license for commercial use in closed-source environments"
}

{
  "id": "oss-b-002",
  "part": "P01",
  "source_class": "oss",
  "identity": "apromore/ApromoreCore",
  "url": "https://github.com/apromore/ApromoreCore",
  "segment": "process-mining",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "Open-source Core Edition of the Apromore process-mining platform: log/BPMN importer, portal, Process Discoverer, business calendar, model editor.",
  "limitations": "Dead as a dependency: archived and self-declared deprecated. The open Core deliberately excludes conformance checking, dashboards, filters, simulation, KPIs and root-cause analysis — everything that would make it useful — all reserved for the paid Enterprise Edition. A stars/licence badge reading 'LGPL open source' badly misrepresents what you actually get.",
  "disposition": "weak",
  "license_claimed": "LGPL-3.0 (multiple license files present); commercial Apromore Enterprise Edition holds the valuable features"
}

{
  "id": "oss-b-003",
  "part": "P01",
  "source_class": "oss",
  "identity": "bupaverse/bupaR",
  "url": "https://github.com/bupaverse/bupaR",
  "segment": "process-mining",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "Core R package of the bupaR ecosystem for business process analysis; event-log object model, case/trace statistics, companion packages for discovery and performance analysis.",
  "limitations": "Licence is inferred, not observed — the LICENSE file is a two-line stub and the actual declaration lives in DESCRIPTION, which I did not fetch. Do not quote 'MIT' to Cena without reading DESCRIPTION. R runtime is a poor fit if Actionist's stack is TypeScript/Python. Much smaller ecosystem than pm4py.",
  "disposition": "relevant",
  "license_claimed": "LICENSE file contains only 'YEAR: 2017 / COPYRIGHT HOLDER: Hasselt University' — the R 'MIT + file LICENSE' stub pattern; MIT is likely but NOT confirmed from the LICENSE body alone"
}

{
  "id": "oss-b-004",
  "part": "P01",
  "source_class": "oss",
  "identity": "bupaverse/pm4py",
  "url": "https://github.com/bupaverse/pm4py",
  "segment": "process-mining",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "R interface bridging bupaR to the Python PM4Py library; exposes inductive miner discovery, Petri net rendering and conformance alignments to R users.",
  "limitations": "Not fetched — stars, licence, and activity all unverified. Critically, wrapping PM4Py does not escape PM4Py's AGPL-3.0; the bridge inherits the upstream licensing question rather than solving it.",
  "disposition": "adjacent",
  "license_claimed": "not observed"
}

{
  "id": "oss-b-005",
  "part": "P01",
  "source_class": "oss",
  "identity": "computertechworld/ProcessMining",
  "url": "https://github.com/computertechworld/ProcessMining",
  "segment": "process-mining",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Curated list of open-source process-mining tools and resources (ProM, Apromore CE, RapidProM, OpenXES).",
  "limitations": "Awesome-list, not a tool. Curated lists rot; entries are the curator's claims, each needing its own verification. Not fetched.",
  "disposition": "adjacent",
  "license_claimed": "not observed"
}

{
  "id": "oss-b-006",
  "part": "P01",
  "source_class": "oss",
  "identity": "TheWoops/awesome-processmining",
  "url": "https://github.com/TheWoops/awesome-processmining",
  "segment": "process-mining",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Collection of process-mining resources.",
  "limitations": "Not fetched; list-of-lists with no independent evidence value.",
  "disposition": "weak",
  "license_claimed": "not observed"
}

{
  "id": "oss-b-007",
  "part": "P01",
  "source_class": "oss",
  "identity": "RPA-US/screenrpa",
  "url": "https://github.com/RPA-US/screenrpa",
  "segment": "task-mining",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "Screen-based task-mining framework for RPA: Django platform capturing UI logs, eye-tracking gaze logs and screenshots, with modules for behaviour monitoring, decision discovery, feature extraction, process discovery and reporting.",
  "limitations": "DISQUALIFYING for client work: CC BY-NC 4.0 forbids commercial use, and Action Model work is commercial. A licence badge glance would call this 'open source' and be wrong for our purposes. Also a 6-star single-lab research artifact with heavy deps (Graphviz, MS Word/LibreOffice, C++ toolchain). Gaze tracking raises an obvious consent problem.",
  "disposition": "weak",
  "license_claimed": "CC BY-NC 4.0 — NON-COMMERCIAL Creative Commons"
}

{
  "id": "oss-b-008",
  "part": "P01",
  "source_class": "oss",
  "identity": "apromore/RPA_UILogger",
  "url": "https://github.com/apromore/RPA_UILogger",
  "segment": "task-mining",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "User-interaction logger for robotic process mining; Excel add-in passive listener plus Chrome extension, writing captured UI events to CSV.",
  "limitations": "Archived, same day as ApromoreCore — the whole Apromore open-source line was retired together. Covers only Excel + Chrome. Capturing keystrokes and cell contents inside a client's spreadsheets is about as invasive as capture gets.",
  "disposition": "adjacent",
  "license_claimed": "LGPL-3.0"
}

{
  "id": "oss-b-009",
  "part": "P01",
  "source_class": "oss",
  "identity": "OpenAdaptAI/OpenAdapt",
  "url": "https://github.com/OpenAdaptAI/OpenAdapt",
  "segment": "task-mining",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "Compiles a demonstrated GUI workflow into a deterministic, locally executable program; captures structural, accessibility, visual, OCR, spatial and transition evidence across browser, Windows, macOS, Linux, RDP and Citrix/VDI.",
  "limitations": "Mid-refactor, so the API surface is unstable and the legacy monolith is frozen rather than maintained; adopting now means tracking a moving multi-repo target. Screen+keyboard+OCR capture on a client machine is the maximum-invasiveness end of the spectrum. The PII/PHI scrubbing lives in a separate optional extra, meaning the safe configuration is opt-in, not default.",
  "disposition": "relevant",
  "license_claimed": "MIT"
}

{
  "id": "oss-b-010",
  "part": "P01",
  "source_class": "oss",
  "identity": "xlang-ai/OpenCUA",
  "url": "https://github.com/xlang-ai/OpenCUA",
  "segment": "task-mining",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "NeurIPS 2025 spotlight framework for computer-use agents: AgentNetTool cross-platform recorder, AgentNet dataset of 22.6K human-annotated desktop tasks across 200+ apps, AgentNetBench evaluator, OpenCUA 7B/32B/72B models.",
  "limitations": "The recorder is instrumental to a model-training agenda, not a product; expect research-grade ergonomics and thin support. Accessibility-tree capture pulls in whatever text is on screen, including material the client never meant to share. Dataset claim varies by source (22.5K vs 22.6K) — quote the repo's 22.6K.",
  "disposition": "relevant",
  "license_claimed": "MIT — README explicitly states use permitted for research, educational AND commercial purposes"
}

{
  "id": "oss-b-011",
  "part": "P01",
  "source_class": "oss",
  "identity": "ActivityWatch/activitywatch",
  "url": "https://github.com/ActivityWatch/activitywatch",
  "segment": "task-mining",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "Cross-platform automated time tracker; aw-watcher-window logs focused application and window title, aw-watcher-afk infers active/idle from keyboard and mouse, aw-watcher-web browser extension tracks active tab title and URL.",
  "limitations": "Gives app-level attention data, not process structure — you learn they spend four hours in HubSpot, not what workflow they run inside it. Window titles leak more than users expect (document names, customer names, subject lines); one adapted fork exists specifically to disable window-title tracking, which is itself evidence that the default is too revealing. MPL-2.0 is file-level copyleft: modifications to ActivityWatch files must be published, though it will not infect surrounding proprietary code.",
  "disposition": "relevant",
  "license_claimed": "MPL-2.0"
}

{
  "id": "oss-b-012",
  "part": "P01",
  "source_class": "oss",
  "identity": "humblebanana/open-record-replay",
  "url": "https://github.com/humblebanana/open-record-replay",
  "segment": "task-mining",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "macOS record-and-replay workflow recorder for computer-use agents; captures mouse, keyboard and UI events as structured traces (session.json, events.jsonl), validates recording quality and packages evidence for an agent skill-creation flow.",
  "limitations": "Not fetched: licence, stars, and maintenance all unverified. macOS-only per its own description, which excludes most business clients. Appears very new and likely single-maintainer.",
  "disposition": "adjacent",
  "license_claimed": "not observed"
}

{
  "id": "oss-b-013",
  "part": "P01",
  "source_class": "oss",
  "identity": "A9T9/RPA",
  "url": "https://github.com/A9T9/RPA",
  "segment": "task-mining",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Ui.Vision open-source RPA with computer vision, OCR, Anthropic Computer Use/LLM integration and a web macro recorder; Selenium IDE import/export.",
  "limitations": "Not fetched. Ui.Vision historically ships a free core with paid XModules/enterprise tiers, so 'open-source' likely understates the commercial boundary — needs the LICENSE read before any claim. Primarily an automation runner, not a process-discovery tool.",
  "disposition": "weak",
  "license_claimed": "not observed"
}

{
  "id": "oss-b-014",
  "part": "P01",
  "source_class": "oss",
  "identity": "aisingapore/TagUI",
  "url": "https://github.com/aisingapore/TagUI",
  "segment": "task-mining",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Free RPA tool by AI Singapore covering websites, desktop apps and CLI; cross-platform; flows writable in 22 languages.",
  "limitations": "Not fetched. Automation execution, not discovery — it replays what you already know, it does not tell you what the client does.",
  "disposition": "weak",
  "license_claimed": "not observed"
}

{
  "id": "oss-b-015",
  "part": "P01",
  "source_class": "oss",
  "identity": "robocorp/rpaframework",
  "url": "https://github.com/robocorp/rpaframework",
  "segment": "task-mining",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Collection of open-source RPA libraries for Robot Framework and Python.",
  "limitations": "Not fetched. Execution side; does not extract evidence about a client's process.",
  "disposition": "weak",
  "license_claimed": "not observed"
}

{
  "id": "oss-b-016",
  "part": "P01",
  "source_class": "oss",
  "identity": "firecrawl/fire-enrich",
  "url": "https://github.com/firecrawl/fire-enrich",
  "segment": "enrichment",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "Multi-agent enrichment pipeline turning an email/domain into a company profile: industry, business model, employee count, founding year, HQ, funding stage and investors, tech stack, plus custom fields — every field carrying source URLs.",
  "limitations": "MIT covers the orchestration shell only; the actual capability is rented — it will not run without a Firecrawl API key and an OpenAI key, so both cost and data flow sit with third parties. 35 commits is a demo-scale codebase, essentially a showcase for Firecrawl's paid API (compare the Composio pattern: permissive licence over a paid hosted dependency). Synthesis is GPT-4o-mediated, so field values are model outputs, not scraped facts.",
  "disposition": "relevant",
  "license_claimed": "MIT"
}

{
  "id": "oss-b-017",
  "part": "P01",
  "source_class": "oss",
  "identity": "Lissy93/web-check",
  "url": "https://github.com/Lissy93/web-check",
  "segment": "enrichment",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "All-in-one website OSINT tool running ~40 checks: DNS, SSL/TLS config and cipher suites, HTTP and security headers, cookies, Whois, robots.txt, sitemap/listed pages, open ports, traceroute, trackers, tech stack via Wappalyzer fingerprints, email config (DMARC/DKIM/SPF/BIMI), WAF detection, Wayback archive history, Tranco global rank, screenshots.",
  "limitations": "Reveals infrastructure, not process — it cannot tell you how the client works internally. Full coverage needs nine optional third-party API keys (Shodan, SecurityTrails, BuiltWith, Cloudmersive, Tranco, urlscan and others), each with its own cost and data-sharing implication; README itself warns REACT_APP_-prefixed keys are exposed client-side. Some checks (open ports, traceroute) probe the target's infrastructure — fine on a client who engaged us, questionable on a prospect who did not. The 27-open-PR against 5-open-issue ratio suggests contributions outrunning maintainer review.",
  "disposition": "relevant",
  "license_claimed": "MIT (© Alicia Sykes, 2023-2026)"
}

{
  "id": "oss-b-018",
  "part": "P01",
  "source_class": "oss",
  "identity": "specfy/stack-analyser",
  "url": "https://github.com/specfy/stack-analyser",
  "segment": "enrichment",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "Extracts 700+ technologies from a repository — languages, SaaS products, cloud, infrastructure, dependencies and services — by parsing package.json, docker-compose.yml, go.mod and similar manifests, and mapping folder-to-service relationships.",
  "limitations": "Requires the client to hand over source code, a far higher trust bar than a domain lookup, and only works for clients who have a codebase at all — most non-technical SMB clients do not. Sees declared dependencies, not runtime reality: a package.json entry proves nothing is actually used in production. Full support is limited to nine ecosystems, with Java, C#, Terraform and others only partial.",
  "disposition": "relevant",
  "license_claimed": "MIT"
}

{
  "id": "oss-b-019",
  "part": "P01",
  "source_class": "oss",
  "identity": "mattvinall/Quick-Enrich-Tools",
  "url": "https://github.com/mattvinall/Quick-Enrich-Tools",
  "segment": "enrichment",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Open-source suite of six lead-enrichment tools intended to be cloned, customized and self-hosted with your own API keys; reference stack Railway + Vercel + Supabase + Resend at roughly $10-20/mo.",
  "limitations": "Not fetched — licence, stars and maintenance unverified. By its own framing the tools are thin wrappers requiring your own paid API keys, so the open-source part carries little of the value.",
  "disposition": "weak",
  "license_claimed": "not observed"
}

{
  "id": "oss-b-020",
  "part": "P01",
  "source_class": "oss",
  "identity": "eracle/OpenOutreach",
  "url": "https://github.com/eracle/OpenOutreach",
  "segment": "enrichment",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Self-hosted CLI agent for B2B lead generation: describe a product, it finds matching people from a licensed data provider and explains the fit, exporting CSV. Claims zero platform-ToS surface — browserless, no social account, no scraping.",
  "limitations": "Not fetched. 'Licensed data provider' means the data is bought, not free — the open-source code is again the shell around a paid dependency. Outbound-prospecting oriented rather than client-understanding oriented.",
  "disposition": "adjacent",
  "license_claimed": "not observed"
}

{
  "id": "oss-b-021",
  "part": "P01",
  "source_class": "oss",
  "identity": "taranis-ai/taranis-ai",
  "url": "https://github.com/taranis-ai/taranis-ai",
  "segment": "enrichment",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "AI-assisted OSINT tool for information gathering and situational analysis.",
  "limitations": "Not fetched. Oriented to security/threat news aggregation rather than company or process intelligence.",
  "disposition": "weak",
  "license_claimed": "not observed"
}

{
  "id": "oss-b-022",
  "part": "P01",
  "source_class": "oss",
  "identity": "jivoi/awesome-osint",
  "url": "https://github.com/jivoi/awesome-osint",
  "segment": "enrichment",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Curated list of OSINT tools and resources.",
  "limitations": "Not fetched; curated list, entries are unverified claims, notorious for link rot.",
  "disposition": "weak",
  "license_claimed": "not observed"
}

{
  "id": "oss-b-023",
  "part": "P01",
  "source_class": "oss",
  "identity": "openclarity/apiclarity",
  "url": "https://github.com/openclarity/apiclarity",
  "segment": "introspection",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "Captures and analyzes API traffic to reconstruct OpenAPI specifications with no code instrumentation, then diffs observed traffic against approved specs to flag Shadow APIs (observed but undocumented) and Zombie APIs (deprecated but still live).",
  "limitations": "Archived three months ago, so unmaintained and accumulating unpatched CVEs in a security-adjacent tool. Assumes a Kubernetes/service-mesh estate (Istio 1.10+, DaemonSet tap, Kong, Tyk or OTel collector); can run with ENABLE_K8S=false but that is the degraded path. Requires deploying a traffic tap inside the client's production cluster — a very high authority and trust bar, and it observes real request/response payloads including customer data.",
  "disposition": "adjacent",
  "license_claimed": "Apache-2.0"
}

{
  "id": "oss-b-024",
  "part": "P01",
  "source_class": "oss",
  "identity": "grokify/traffic2openapi",
  "url": "https://github.com/grokify/traffic2openapi",
  "segment": "introspection",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "Normalizes HTTP traffic from HAR files, Postman collections, Playwright/Puppeteer/Cypress captures, mitmproxy/Charles logs and Go http.Client into a versioned intermediate representation ('ir.v1'), then infers OpenAPI 3.0/3.1/3.2 specs — detecting path/query params, types and formats, auth schemes and pagination patterns, and diffing specs for breaking changes.",
  "limitations": "3 stars and zero forks — a single-maintainer, pre-release project with essentially no production validation; the engineering hygiene is genuine but is not adoption. HAR captures contain live auth tokens, cookies and response bodies, so the artifact itself is a credential-bearing secret that must be scrubbed before it is stored or shared. Inference from a single session sees only the endpoints that session happened to touch.",
  "disposition": "relevant",
  "license_claimed": "MIT"
}

{
  "id": "oss-b-025",
  "part": "P01",
  "source_class": "oss",
  "identity": "doitintl/DoiT-AdminPulse-for-Workspace",
  "url": "https://github.com/doitintl/DoiT-AdminPulse-for-Workspace",
  "segment": "introspection",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "Google Sheets add-on for Workspace admins: security-posture checklist plus read-only Admin SDK inventory scripts covering users, license assignments, Groups settings and membership, mobile devices, shared drives, OAuth tokens (getOAuthTokens.gs), app passwords, OUs, domains and DNS.",
  "limitations": "Requires super-admin credentials on the client's Workspace tenant — the highest authority ask in this survey, and it cannot be run against an external organization, so it is strictly a post-engagement tool. Inventories OAuth tokens rather than applications per se. Output sheet contains the full directory (names, emails, group memberships) and is therefore a personal-data artifact from the moment it is generated. Small project, maintenance unverified.",
  "disposition": "relevant",
  "license_claimed": "MIT"
}

{
  "id": "oss-b-026",
  "part": "P01",
  "source_class": "oss",
  "identity": "psignoret/azure-ad-permissions-gist",
  "url": "https://gist.github.com/psignoret/41793f8c6211d2df5051d77ca3728c09",
  "segment": "introspection",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Widely-used community PowerShell script enumerating all delegated and application permission grants in Entra ID, iterating app permissions directly rather than parsing logs; updated to handle tenants with 1000+ grants.",
  "limitations": "A gist, not a maintained project — no licence, no releases, no issue tracker, no security review. Needs Graph admin consent on the client tenant. Not fetched.",
  "disposition": "adjacent",
  "license_claimed": "not observed"
}

{
  "id": "oss-b-027",
  "part": "P01",
  "source_class": "oss",
  "identity": "walidamro-msft/entra-id-graph-consent-toolkit",
  "url": "https://github.com/walidamro-msft/entra-id-graph-consent-toolkit",
  "segment": "introspection",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Entra ID governance toolkit to list, audit and bulk-delete Microsoft Graph delegated user consents, forcing least-privilege re-consent; PowerShell 5.1 and 7+, revocation path uses pure REST with no module dependency.",
  "limitations": "Not fetched. Ships destructive capability (bulk consent deletion) alongside read-only inventory — the wrong tool to hand an automated agent, and a serious blast-radius risk if scoped wrongly on a client tenant. Individual-maintainer project despite the -msft handle; that suffix is not a Microsoft support guarantee.",
  "disposition": "adjacent",
  "license_claimed": "not observed"
}

{
  "id": "oss-b-028",
  "part": "P01",
  "source_class": "oss",
  "identity": "MianAzeem/api-sniffer",
  "url": "https://github.com/MianAzeem/api-sniffer",
  "segment": "introspection",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Playwright-based tool capturing real-time API traffic from web applications and generating structured API intelligence — schema inference, automatic endpoint classification (AUTH, USER), and an OpenAPI generator.",
  "limitations": "Not fetched — licence, maturity and maintenance all unknown; named as a reverse-engineering tool, which is a framing worth care in a client context. Driving Playwright against a third-party SaaS the client uses may breach that vendor's terms of service.",
  "disposition": "adjacent",
  "license_claimed": "not observed"
}

{
  "id": "oss-b-029",
  "part": "P01",
  "source_class": "oss",
  "identity": "NangoHQ/nango",
  "url": "https://github.com/NangoHQ/nango",
  "segment": "introspection",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Self-hostable product-integration platform providing managed OAuth and unified syncs across a large catalog of third-party SaaS APIs.",
  "limitations": "Nothing verified. The licence in particular is a known trap in this category (compare the Composio finding: a permissive SDK badge over a paid hosted API), and connector counts in this space routinely conflate 'services listed' with 'working OAuth integrations'. Do NOT quote a connector count or a licence for Nango until the repo and LICENSE body have been read directly.",
  "disposition": "adjacent",
  "license_claimed": "NOT OBSERVED — fetch failed; Nango has historically used a mixed model with an Elastic-style restriction on parts of the platform, which must be read from the repo before any claim"
}

{
  "id": "oss-b-030",
  "part": "P01",
  "source_class": "oss",
  "identity": "akto-api-security/akto",
  "url": "https://github.com/akto-api-security/akto",
  "segment": "introspection",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Open-source API security platform whose code-analysis tool scans source repositories to discover APIs including shadow APIs, integrating with traffic-based inventory and CI/CD to catch new APIs in pull requests.",
  "limitations": "Not fetched. Open-core commercial vendor — the boundary between the free and paid tiers is exactly the thing that needs reading, not assuming. Security-tool framing means running it on a client estate carries its own authorization requirements.",
  "disposition": "adjacent",
  "license_claimed": "not observed"
}

{
  "id": "oss-b-031",
  "part": "P01",
  "source_class": "oss",
  "identity": "opticdev/optic",
  "url": "https://github.com/opticdev/optic",
  "segment": "introspection",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Captures real HTTP traffic from production or elsewhere and creates OpenAPI from it, for documentation, mocks, SDKs or contract testing.",
  "limitations": "Not fetched. Commercially backed with a paid cloud offering, so the open-source scope needs verification. Same payload-sensitivity concern as all traffic capture.",
  "disposition": "adjacent",
  "license_claimed": "not observed"
}

{
  "id": "oss-b-032",
  "part": "P01",
  "source_class": "oss",
  "identity": "schemathesis/schemathesis",
  "url": "https://github.com/schemathesis/schemathesis",
  "segment": "introspection",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Property-based API testing driven by OpenAPI and GraphQL schemas.",
  "limitations": "Not fetched. Requires a schema as input, so it cannot discover anything; sends generated traffic at the target, which is unacceptable against a client's production system without explicit authorization.",
  "disposition": "weak",
  "license_claimed": "not observed"
}

{
  "id": "oss-b-033",
  "part": "P01",
  "source_class": "oss",
  "identity": "osquery/osquery",
  "url": "https://github.com/osquery/osquery",
  "segment": "introspection",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Exposes an operating system as a relational database, allowing SQL queries over installed applications, running processes, browser extensions and network connections.",
  "limitations": "Not fetched. Requires agent deployment on employee machines — an IT-governance decision, not something an agency can arrange lightly. Named in the search results only as a composable building block, since no turnkey open-source shadow-SaaS discovery tool exists.",
  "disposition": "adjacent",
  "license_claimed": "not observed"
}

{
  "id": "oss-b-034",
  "part": "P01",
  "source_class": "oss",
  "identity": "zeek/zeek",
  "url": "https://github.com/zeek/zeek",
  "segment": "introspection",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Network security monitor generating structured logs of application traffic; can reveal SaaS usage by inspecting DNS queries, IP connections and TLS/SNI metadata without decrypting content.",
  "limitations": "Not fetched. Requires network tap placement inside the client's environment — heavy deployment and a serious authority boundary. Produces raw network telemetry about identifiable employees. Cited in search results as a composable ingredient, not a discovery product.",
  "disposition": "adjacent",
  "license_claimed": "not observed"
}

{
  "id": "oss-b-035",
  "part": "P01",
  "source_class": "oss",
  "identity": "modAL-python/modAL",
  "url": "https://github.com/modAL-python/modAL",
  "segment": "active-learning",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "Modular active-learning framework on scikit-learn: ActiveLearner with pluggable query strategies (uncertainty, entropy, custom), Committee/CommitteeRegressor for query-by-committee, BayesianOptimizer, ranked batch-mode sampling and information density; Keras integration.",
  "limitations": "Maintenance is the concern: a dead-CI badge, a 94-issue backlog and a 2018 citation together read as low-activity rather than merely stable. The bigger gap is conceptual — these strategies rank items by classifier uncertainty, which is not the same as ranking questions by value to a human client; cost, intrusiveness and answerability are not modelled at all. Adopt the framing, expect to write the scoring function.",
  "disposition": "relevant",
  "license_claimed": "MIT"
}

{
  "id": "oss-b-036",
  "part": "P01",
  "source_class": "oss",
  "identity": "scikit-activeml/scikit-activeml",
  "url": "https://github.com/scikit-activeml/scikit-activeml",
  "segment": "active-learning",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "Comprehensive active-learning library on scikit-learn implementing 60+ query strategies drawn from 40+ research papers, spanning pool-based and stream-based settings, with deep active learning via skorch/PyTorch.",
  "limitations": "Its own README describes it as a library for research; expect research ergonomics rather than a production policy engine. Strategy count varies by source (search said 47 pool + 14 stream, the repo says 60+) — quote the repo's 60+ or, better, count the strategy overview page before quoting anything. 201 stars is a small community for a library carrying this much surface area. Same conceptual gap as modAL: uncertainty is a proxy for question value, not a measure of it.",
  "disposition": "relevant",
  "license_claimed": "BSD-3-Clause"
}

{
  "id": "oss-b-037",
  "part": "P01",
  "source_class": "oss",
  "identity": "usnistgov/optbayesexpt",
  "url": "https://github.com/usnistgov/optbayesexpt",
  "segment": "active-learning",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Optimal Bayesian Experimental Design for choosing measurement settings when a parametric model is known; selects settings likely to make parameter estimates more precise, aimed at cases where measurements are expensive.",
  "limitations": "Not fetched. Requires a known parametric model of the system being measured, which a client organization emphatically is not; adopting this means adopting the maths, not the code. Physics-instrumentation oriented. NIST software is usually public domain rather than carrying a standard OSS licence, which has its own downstream implications.",
  "disposition": "relevant",
  "license_claimed": "not observed (NIST work is typically US public domain)"
}

{
  "id": "oss-b-038",
  "part": "P01",
  "source_class": "oss",
  "identity": "experimental-design/bofire",
  "url": "https://github.com/experimental-design/bofire",
  "segment": "active-learning",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Framework for experimental design and multi-objective Bayesian optimization, built on Meta's BoTorch.",
  "limitations": "Not fetched. Built for chemical/industrial process optimization over continuous parameter spaces; a question queue is discrete and combinatorial, so the fit is by analogy only. BoTorch/PyTorch is a heavy dependency for a scoring policy.",
  "disposition": "adjacent",
  "license_claimed": "not observed"
}

{
  "id": "oss-b-039",
  "part": "P01",
  "source_class": "oss",
  "identity": "emdgroup/baybe",
  "url": "https://github.com/emdgroup/baybe",
  "segment": "active-learning",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "General-purpose toolbox for Bayesian Design of Experiments focused on real-world experimental campaigns; claimed use in industry and academia.",
  "limitations": "Not fetched. Corporate-backed (Merck KGaA) chemistry tooling; domain distance from client questioning is large. Maturity and licence unverified.",
  "disposition": "adjacent",
  "license_claimed": "not observed"
}

{
  "id": "oss-b-040",
  "part": "P01",
  "source_class": "oss",
  "identity": "VlachosGroup/nextorch",
  "url": "https://github.com/VlachosGroup/nextorch",
  "segment": "active-learning",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Experimental design and Bayesian optimization library in Python/PyTorch.",
  "limitations": "Not fetched. Chemical-engineering research group tooling; no distinctive capability over bofire or BayBE for this use case.",
  "disposition": "weak",
  "license_claimed": "not observed"
}

{
  "id": "oss-b-041",
  "part": "P01",
  "source_class": "oss",
  "identity": "mhinne/BNQD",
  "url": "https://github.com/mhinne/BNQD",
  "segment": "active-learning",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Toolbox for Bayesian Nonparametric Quasi-Experimental Design in Python.",
  "limitations": "Not fetched. Single-academic research code; off the main thread of question-selection policy.",
  "disposition": "weak",
  "license_claimed": "not observed"
}

{
  "id": "oss-b-042",
  "part": "P01",
  "source_class": "oss",
  "identity": "bayesflow-org/bayesflow",
  "url": "https://github.com/bayesflow-org/bayesflow",
  "segment": "active-learning",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Amortized Bayesian inference library; ships a Bayesian Experimental Design example notebook framing BED as combining information theory and Bayesian modelling to plan experiments maximizing information gain.",
  "limitations": "Not fetched. BED is one example notebook, not the library's purpose. Amortized inference needs a simulator of the domain to train against, which for client organizations does not exist.",
  "disposition": "adjacent",
  "license_claimed": "not observed"
}

{
  "id": "oss-b-043",
  "part": "P01",
  "source_class": "oss",
  "identity": "microsoft/graphrag",
  "url": "https://github.com/microsoft/graphrag",
  "segment": "org-graph",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "Modular graph-based RAG system; an LLM-driven pipeline that extracts structured entities and relationships from unstructured narrative text and builds knowledge-graph memory structures used as targeted context for question answering.",
  "limitations": "Maintenance mode is decisive for a client deliverable: MIT-licensed and hugely popular, but feature-frozen by its own maintainers, and the 33-to-3 PR-to-issue ratio is a graveyard of unmergeable contributions. README warns indexing is expensive and advises starting small — per-client indexing cost is a real line item. Explicitly a research demonstration, not a supported Microsoft product. Out-of-the-box extraction quality is acknowledged as suboptimal without prompt tuning per domain.",
  "disposition": "relevant",
  "license_claimed": "MIT"
}

{
  "id": "oss-b-044",
  "part": "P01",
  "source_class": "oss",
  "identity": "getzep/graphiti",
  "url": "https://github.com/getzep/graphiti",
  "segment": "org-graph",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "Framework for real-time temporal knowledge graphs for AI agents: incremental ingestion without full recomputation, bi-temporal fact validity windows with automatic invalidation on contradiction, provenance via 'episodes' linking every fact to its source, hybrid semantic + BM25 + graph-traversal retrieval, custom ontology through Pydantic entity and edge types.",
  "limitations": "Open-core: it is the engine under Zep's paid product, so expect the roadmap to serve that. Needs a graph database — Neo4j 5.26, FalkorDB, or Amazon Neptune plus OpenSearch Serverless; the lightweight embedded option (Kuzu) is explicitly deprecated because upstream is unmaintained, so there is no cheap local backend. Requires an LLM API key per ingestion, so graph construction has a running per-client cost. A 206-open-PR backlog against 285 open issues signals a project moving faster than it is being reviewed.",
  "disposition": "relevant",
  "license_claimed": "Apache-2.0"
}

{
  "id": "oss-b-045",
  "part": "P01",
  "source_class": "oss",
  "identity": "zjunlp/DeepKE",
  "url": "https://github.com/zjunlp/DeepKE",
  "segment": "org-graph",
  "observed": "2026-08-27",
  "evidence_class": "D",
  "verified": "fetched",
  "claim": "Open toolkit for knowledge-graph extraction and construction (EMNLP 2022): named entity recognition, relation extraction, attribute extraction, event extraction and relational triple extraction, across standard, few-shot, document-level and multimodal settings; DeepKE-LLM branch, OneKE multi-agent extraction framework, MCP service tools.",
  "limitations": "Chinese-NLP heritage runs deep — cnSchema, Chinese-Alpaca-2-13B, bilingual IEPile — so English-only performance on Western business documents needs its own evaluation rather than being assumed. MIT covers the toolkit, but the individual models it downloads carry their own licences (a LoRA on Chinese-Alpaca-2 inherits Llama-2 terms), which is exactly the kind of layered-licence trap that a repo-level MIT badge hides. Research toolkit ergonomics; DeepKE-LLM needs a completely separate environment.",
  "disposition": "relevant",
  "license_claimed": "MIT"
}

{
  "id": "oss-b-046",
  "part": "P01",
  "source_class": "oss",
  "identity": "robert-mcdermott/ai-knowledge-graph",
  "url": "https://github.com/robert-mcdermott/ai-knowledge-graph",
  "segment": "org-graph",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Takes unstructured text, uses any OpenAI-compatible LLM (Ollama, LM Studio, vLLM, LiteLLM, OpenAI) to extract subject-predicate-object triplets, standardizes entities across document chunks, infers relationships to connect disconnected subgraphs, and renders an interactive graph.",
  "limitations": "Not fetched: licence, stars and maintenance unverified. Free-form SPO triplets without a fixed ontology produce inconsistent predicates across runs, so the graph is hard to query reliably. Note aimaster-dev/knowledge-graph-construction appears to be a fork or mirror of this same project — a reminder that apparent breadth in this segment is partly duplication.",
  "disposition": "adjacent",
  "license_claimed": "not observed"
}

{
  "id": "oss-b-047",
  "part": "P01",
  "source_class": "oss",
  "identity": "junhewk/simple-graph-builder",
  "url": "https://github.com/junhewk/simple-graph-builder",
  "segment": "org-graph",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Obsidian plugin building a lightweight knowledge graph from notes via LLM entity extraction over a fixed 10-type ontology (PERSON, ORGANIZATION, CONCEPT, PROJECT, TOOL, EVENT, PLACE, DOCUMENT, METHOD, TOPIC) with free-form relationship verbs; hybrid entity resolution resolving most entities by hash lookup and reserving embedding search and LLM calls for genuinely ambiguous cases.",
  "limitations": "Not fetched. An Obsidian plugin, so it is a pattern to copy rather than a component to embed. Small personal project; licence and maintenance unknown.",
  "disposition": "adjacent",
  "license_claimed": "not observed"
}

{
  "id": "oss-b-048",
  "part": "P01",
  "source_class": "oss",
  "identity": "MadsDoodle/Knowledge-Graph-using-RDF-LLM",
  "url": "https://github.com/MadsDoodle/Knowledge-Graph-using-RDF-LLM",
  "segment": "org-graph",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Pipeline extracting entities and relationships from PDF, TXT and DOCX into RDF graphs, combining SpaCy rule-based NER with LLM extraction, plus deduplication and merging; SPARQL-queryable.",
  "limitations": "Not fetched. Appears to be an individual portfolio-scale project; licence, maintenance and quality all unverified. RDF/SPARQL is heavier machinery than most agent retrieval paths need.",
  "disposition": "weak",
  "license_claimed": "not observed"
}

{
  "id": "oss-b-049",
  "part": "P01",
  "source_class": "oss",
  "identity": "dylanhogg/llmgraph",
  "url": "https://github.com/dylanhogg/llmgraph",
  "segment": "org-graph",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Creates knowledge graphs in GraphML, GEXF and HTML from a source entity's Wikipedia page, with customised prompts per entity type and cache support for iteratively growing a graph.",
  "limitations": "Not fetched. Wikipedia-seeded by design, which is useless for a private company: the entire premise is that the entity already has an encyclopedia article. Wrong input domain for client intelligence.",
  "disposition": "weak",
  "license_claimed": "not observed"
}

{
  "id": "oss-b-050",
  "part": "P01",
  "source_class": "oss",
  "identity": "FabioYanezRomero/Knowledge-Graph-Builder",
  "url": "https://github.com/FabioYanezRomero/Knowledge-Graph-Builder",
  "segment": "org-graph",
  "observed": "2026-08-27",
  "evidence_class": "I",
  "verified": "search-only",
  "claim": "Builds knowledge graphs via generative models through Ollama/Gemini/LM Studio, with structured triple extraction source-grounded via langextract, graph augmentation to bridge disconnected components, schema-constrained customizable domains, Cytoscape.js visualization and GraphML output.",
  "limitations": "Not fetched. Individual research-scale project; licence and maintenance unknown. 'Graph augmentation to bridge disconnected components' means inventing edges the source text did not state — directly hostile to an evidence standard where inferred must be distinguishable from observed.",
  "disposition": "adjacent",
  "license_claimed": "not observed"
}

{
  "id": "local-001",
  "part": "P01",
  "source_class": "local",
  "identity": "industry-atom-specifications.md",
  "url": "research/actionmodel-builder-research-2026-08-26/phase-2/outputs/industry-atom-specifications.md",
  "segment": "local-estate",
  "observed": "2026-08-27",
  "evidence_class": "E",
  "verified": "read",
  "claim": "17 industry bounded specs, 66 use cases, 12 atoms, 170-cell readiness trace; all cells readiness_unexecuted",
  "limitations": "Local research artifact; demand_signal evidence, not validated demand",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "local-002",
  "part": "P01",
  "source_class": "local",
  "identity": "niche-atom-block-join.md",
  "url": "research/actionmodel-builder-research-2026-08-26/expansion/outputs/niche-atom-block-join.md",
  "segment": "local-estate",
  "observed": "2026-08-27",
  "evidence_class": "E",
  "verified": "read",
  "claim": "12-atom contract schema, use-case→atom map, archetype priority scoring, preserved catalogue contradictions",
  "limitations": "Local research artifact; demand_signal evidence, not validated demand",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "local-003",
  "part": "P01",
  "source_class": "local",
  "identity": "actionist-solutions-sweep-spec-2026-08-26.md",
  "url": "research/actionist-solutions-sweep-spec-2026-08-26.md",
  "segment": "local-estate",
  "observed": "2026-08-27",
  "evidence_class": "E",
  "verified": "read",
  "claim": "solution_atom discovery record; builder decomposition items 1-2 are P01/P02 restated",
  "limitations": "Local research artifact; demand_signal evidence, not validated demand",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "local-004",
  "part": "P01",
  "source_class": "local",
  "identity": "autosaas-method.md",
  "url": "[local path redacted]",
  "segment": "local-estate",
  "observed": "2026-08-27",
  "evidence_class": "E",
  "verified": "read",
  "claim": "opportunity-intake gate and spec-constitution field list; procedural design, never measured",
  "limitations": "Local research artifact; demand_signal evidence, not validated demand",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "local-005",
  "part": "P01",
  "source_class": "local",
  "identity": "00-MASTER-SYNTHESIS.md",
  "url": "knowledge/00-MASTER-SYNTHESIS.md",
  "segment": "local-estate",
  "observed": "2026-08-27",
  "evidence_class": "E",
  "verified": "read",
  "claim": "nine irreducible jobs; jobs 1-2 are this lane; demand compression thesis",
  "limitations": "Local research artifact; demand_signal evidence, not validated demand",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "local-006",
  "part": "P01",
  "source_class": "local",
  "identity": "02-ASSUMPTION-LEDGER.md",
  "url": "knowledge/02-ASSUMPTION-LEDGER.md",
  "segment": "local-estate",
  "observed": "2026-08-27",
  "evidence_class": "E",
  "verified": "read",
  "claim": "A01/A02/A17/A22/A38 bound this lane's claims",
  "limitations": "Local research artifact; demand_signal evidence, not validated demand",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "local-007",
  "part": "P01",
  "source_class": "local",
  "identity": "parts.json",
  "url": "site/system-map/data/parts.json",
  "segment": "local-estate",
  "observed": "2026-08-27",
  "evidence_class": "E",
  "verified": "read",
  "claim": "P01/P02 theses, owned outputs and open questions",
  "limitations": "Local research artifact; demand_signal evidence, not validated demand",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "local-008",
  "part": "P01",
  "source_class": "local",
  "identity": "first-principles-framework.md",
  "url": "research/actionmodel-builder-research-2026-08-26/outputs/first-principles-framework.md",
  "segment": "local-estate",
  "observed": "2026-08-27",
  "evidence_class": "E",
  "verified": "read",
  "claim": "C01/C02 atomic capabilities = demand normalization and requirement elicitation",
  "limitations": "Local research artifact; demand_signal evidence, not validated demand",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "local-009",
  "part": "P01",
  "source_class": "local",
  "identity": "synthetic-pilot-specification.md",
  "url": "research/actionmodel-builder-research-2026-08-26/phase-3/outputs/synthetic-pilot-specification.md",
  "segment": "local-estate",
  "observed": "2026-08-27",
  "evidence_class": "E",
  "verified": "read",
  "claim": "pre-registered fixture/state-machine discipline reused for acceptance design",
  "limitations": "Local research artifact; demand_signal evidence, not validated demand",
  "disposition": "relevant",
  "license_claimed": null
}

{
  "id": "local-010",
  "part": "P01",
  "source_class": "local",
  "identity": "public-signals-wave-11.md",
  "url": "research/actionmodel-builder-research-2026-08-26/expansion/wave-11/outputs/public-signals-wave-11.md",
  "segment": "local-estate",
  "observed": "2026-08-27",
  "evidence_class": "E",
  "verified": "read",
  "claim": "public signal classes A/B/C and their explicit limits",
  "limitations": "Local research artifact; demand_signal evidence, not validated demand",
  "disposition": "relevant",
  "license_claimed": null
}