MARKET RESEARCH

Patent Claims Tracker Synced to Coda

Monitors a competitor's patent applications and maintains a structured Coda table with each filing's claims summary, technology area, and dedup status for ongoing analysis.

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule
  • ActionRetrieve recent applicationsExa
  • ActionScrape claims and abstractFirecrawl
  • ActionSummarize and classify tech areaOpenAI
  • LogicDedup against existing Coda rows
  • OutputUpsert filing into Coda tableCodaCoda

What it does

This workflow builds and maintains a living Coda database of a competitor's patent activity. On each run it finds new applications, extracts and summarizes the claims, classifies the technology area, and upserts a row into a Coda table, skipping filings already recorded. The result is a queryable, sortable patent ledger the whole team can slice by tech area or filing date.

When to use it

Use it when a one-off Slack ping isn't enough and you need a durable, structured record for trend analysis, board decks, or freedom-to-operate prep. Best when multiple people reference the same patent dataset over time.

How it works

  1. 1A scheduled trigger runs daily.
  2. 2Exa retrieves recent published applications for the tracked assignee.
  3. 3Firecrawl scrapes each filing's claims and abstract.
  4. 4An OpenAI step writes a claims summary and assigns a technology-area label.
  5. 5A logic step checks the Coda table for an existing row by application number to avoid duplicates.
  6. 6New filings are upserted as rows into the Coda patent tracker with summary, tech area, date, and link.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ExaNeural search across the web.
  2. 2
    Connect FirecrawlCrawl, scrape, structured extract.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect CodaDocs, packs, automations.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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