MARKET RESEARCH

Extract 10-Q Risk & Strategy Signals into a Competitor Board

When a tracked competitor files a new 10-Q, fetch the filing, extract the MD&A, risk-factor, and guidance changes.

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled poll for new 10-Q filings by tracked ticker
  • ActionFetch and clean filing HTMLFirecrawl
  • LogicFilter: 10-Q only, skip already-recorded filings
  • ActionExtract MD&A, risk-factor, and guidance deltas to JSONOpenAI
  • OutputAppend structured signal row to Coda boardCodaCoda

What it does

Watches the SEC filing feeds for your tracked competitors and, on each new 10-Q, pulls the document, isolates the sections that actually move strategy — Management Discussion & Analysis, updated risk factors, and any restated guidance — and writes one clean signal row per filing into a Coda table your team already reviews.

When to use it

Use it when you maintain a competitive-intelligence board in Coda and want quarterly filings summarized the same way every time, instead of an analyst hand-copying paragraphs. Best for teams tracking 5-30 public competitors where reading every full 10-Q is impractical.

How it works

  1. 1A scheduled check polls for new 10-Q filings matching your tracked tickers.
  2. 2Firecrawl fetches and cleans the filing HTML into readable text.
  3. 3A filter drops anything that isn't a 10-Q or is already in the board.
  4. 4OpenAI extracts MD&A themes, new/removed risk factors, and guidance deltas into a fixed JSON shape.
  5. 5The result is appended as a new row in the Coda competitor-strategy board, with section links back to the source.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FirecrawlCrawl, scrape, structured extract.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect CodaDocs, packs, automations.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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