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.
Scan Your Company's AI Readiness 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.
8,062 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 247 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.
Your SEC filings are already public. But AI can't easily read your investor page — it's PDFs, audio webcasts, and human-first HTML. Origin anchors your data with a cryptographic chain so that when AI cites your company, every fact traces back to you.
We work with IR teams to make their data AI-native — no changes to your site required. Join our IR for AI program.