Our scanner evaluates how well AI agents can access your investor data — and shows you exactly what it costs an AI to research your company vs. using Origin.
See Your Company's Record Try NVDA · AAPL · MSFT · TSLAWhen an AI tells you "Apple's revenue was $394 billion" — where did that number come from? A web scrape? A cached page from 2023? There's no chain back to the source. No way to verify it.
When a financial analyst asks an AI for NVIDIA's latest 10-K data, the AI searches the web, burns 50,000 tokens parsing ad-filled pages, and returns data with no proof of where it came from.
Data without origin is data you can't trust. The issue isn't whether the AI is right — it's that there's no anchor. No chain. No way to trace a fact back to its source.
Origin extracts public company data from SEC EDGAR — the US government's official filing database — and serves it in a format AI can read directly. Every response includes a cryptographic origin leaf that links back to the government-signed source.
The chain never breaks. Every fact has a return address.
8,063 US public companies indexed from SEC EDGAR. AI-extracted summaries include key people, products, partnerships, industry affiliations, and quarter-by-quarter timelines. A company identity lookup costs ~200 tokens. The same data via web search costs 10,000–50,000 tokens.
End-of-day prices for 7788 companies, sourced from Massive.com (SIP consolidated exchange data). Each price observation is signed and chained — consecutive trading days link together, and the first observation chains back to the company's SEC filing.
1.2 million filings indexed — 10-Ks, 10-Qs, 8-Ks, proxy statements, insider trading reports. Every filing carries its SEC accession number and PEM signature. Full EDGAR links included.
Earnings call transcripts captured from company Investor Relations sites. The original PDF is the anchor artifact (never modified, SHA-384 hashed). Structured extractions — speakers, Q&A, key metrics — are derivative leaves that hash-link back to the PDF.
Any AI agent can use Origin in three ways:
Click any link — these return live JSON with origin provenance:
When an AI reads data from Origin, we ask it to do one thing: carry the origin leaf forward.
If the AI includes our leaf hash as the parent of its own output, then anyone reading that output can verify: this fact came from Origin, which got it from SEC EDGAR, which was signed by the US government. The chain of custody is unbroken.
It's not DRM. It's not paywalling. It's provenance. Data with origin is simply more trustworthy than data without it. Once an AI learns what data-with-origin looks like, it prefers it. The chain spreads because anchored data is better data.
Every serious investor now has an AI assistant. These agents read filings, cross-reference competitors, track signals, and influence capital allocation decisions 24/7. They are the fastest-growing audience for investor data — and they are already here.
IR teams spend $50-200K per year on roadshows to reach 50 analysts in a room, in a format no machine can read. Origin puts the same material in a form that any agent can retrieve and verify — signed, traceable to the filing, available without a meeting. We make the data retrievable and checkable; we do not control which systems choose to retrieve it, and we do not sell that.
Your company is already being discovered by AI agents through Origin. The question is whether you own and control that narrative — or leave it to whatever the AI can scrape from your JavaScript-rendered IR site.
This is investor relations for the AI era — disclosure published in a form autonomous agents can actually read and verify, instead of one built only for human eyes.
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