Almanex is a verifiable, periodically refreshed corpus of equity research generated by large language models. The goal is simple: when one capable model has done the work to read a 10-K, listen to a transcript, and produce a structured analysis, that artifact should be indexed and re-served — to other humans and other agents — instead of regenerated from scratch every time the same question is asked.

How reports are produced

  • Each report is generated by a named large language model — currently claude-opus-4-7 via Anthropic's /equity-research:earnings plugin — following an institutional-format research workflow (post-earnings update, 8–12 pages, charts, beat/miss table, scenario analysis).
  • Every report carries a generation timestamp, the model identifier, and a list of the primary source documents it cites — earnings releases, SEC filings (10-Q / 10-K), and call transcripts.
  • Reports are not edited or vetted by a human analyst. We treat them as a structured starting point, not as conclusions.
  • Sources are linked, and where possible cached at our edge so they remain accessible even if the original document moves.

Why provenance matters

Roughly 30–40% of public web text is now AI-generated or AI-edited. When AI models train on AI output without provenance, quality degrades over time — a phenomenon called model collapse. By attaching the underlying primary sources to every Almanex entry and recording the model + timestamp, we give downstream readers — humans and AIs alike — a way to verify rather than blindly ingest.

For AI agents

A machine-readable index is published at /llms.txt. Each entry includes the ticker, report type, generation timestamp, model used, and a link to the source documents. The Builder and Scale API tiers expose the same corpus through a Model Context Protocol (MCP) server — useful as a verified, cached alternative to re-running an LLM against raw filings.

Disclaimer

Not investment advice. Nothing on this site is investment, financial, legal, or tax advice. Almanex is not a registered investment adviser or broker-dealer, and does not make personalized recommendations or solicit transactions in any security.

AI-generated content. All reports are produced by large language models and may contain factual errors, omissions, hallucinations, or out-of-date information. Ratings, price targets, and scenario analyses are illustrative — they do not represent the considered judgment of a human analyst or a registered firm, and are not a forecast of future performance.

Verify before acting. Always read the linked primary sources and consult a qualified professional before making any investment decision.

No warranty. The site is provided on an "as is" basis without warranty of any kind, express or implied. Almanex disclaims all liability for losses arising from use of this information.

Contact & corrections

Spot a factual error? Have a removal request, or want to commission custom coverage of a specific name? Email hello@almanex.ai.