MARKET RESEARCH

Patent radar: scan USPTO publications for a company watch-list and file research cards

Each morning, crawls newly published USPTO patent applications for every company on your watch-list, summarizes the strategic signal.

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule fires
  • ActionCrawl USPTO new filings per watch-list companyFirecrawl
  • LogicDrop filings already seen (dedupe by publication number)
  • ActionSummarize strategic signal and score 1-5OpenAI
  • OutputFile research card to AirtableAirtableAirtable

What it does

Watches the USPTO public patent feed for new applications and grants assigned to any company on your competitive watch-list. For each hit, it extracts the abstract and claims, asks an LLM to judge what the filing reveals about the company's R&D direction, and writes a tidy research card to Airtable with a strategic-signal score.

When to use it

When you track a fixed set of competitors or acquisition targets and want to know the moment one of them files in a new technical area, without manually checking the patent office.

How it works

  1. 1A daily schedule fires the run.
  2. 2For each watch-list company, Firecrawl crawls the USPTO published-applications search results and pulls the new filing pages.
  3. 3A logic step filters out filings already seen (by publication number) so only new ones continue.
  4. 4OpenAI summarizes each filing's abstract and claims into a one-paragraph strategic read and a 1-5 signal score.
  5. 5New research cards are written to Airtable — company, filing title, date, signal, summary, and source link.

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 AirtableBases, tables, views, 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.

Run this workflow in your colony.

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