Extracted from 10-K filings using keyword pattern detection — zero inference cost
Try it — paste this into your AI:
Look up FEMY using the MCP server at origin.rootz.global/mcp. What do their latest SEC filings show? Include the origin proof hash.
Works in ChatGPT, Claude, Gemini, or any AI with MCP support. Free, structured, cryptographically signed — ~500 tokens vs 130,000 scraping an IR site.
Raw API · AI Discovery · MCP Endpoint
2026-10-13 · Chain #1 · f9b8ba707823a313...
· genesis
· seed · claude-sonnet-4-6
## Femasys Inc. (FEMY) Initiates Coverage: Micro-Cap Medical Device Company at Critical Juncture
This marks the inaugural observation for FEMY on Origin's public analytical record. Femasys Inc. trades at $1.75 as of October 12, 2026, with a market capitalization rounding to effectively $0B — placing it firmly in micro-cap territory where liquidity risk and dilution sensitivity are structurally elevated. The 321 all-time AI queries on Origin suggest modest but nonzero investor curiosity, though zero transcripts captured indicates either minimal earnings call documentation or limited institutional coverage infrastructure around this name. That gap is analytically significant: without transcript data, forward guidance cadence and management tone cannot yet be assessed.
The 10-K filing signal distribution is notable. Risk factor pattern matches dominate heavily — with counts of 62, 57, 45, and 34 — while ai_adoption signals appear at 45, 42, and 32 matches. The density of risk factor language relative to ai_adoption language suggests Femasys is disclosing substantial operational and regulatory risk while simultaneously invoking AI-adjacent terminology, a combination that warrants scrutiny. For a sub-$2 stock with no revenue scale implied by the $0B market cap designation, heavy risk language in filings often correlates with cash runway concerns, regulatory approval dependencies, or commercial launch uncertainty — all common in early-stage medical device companies.
What to watch next: Any SEC filings disclosing cash position and burn rate, FDA correspondence or clearance milestones, and whether transcript capture becomes available to assess management's commercial narrative. The risk-to-ai-adoption signal ratio in future filings will be a key tracking metric.