MARKET RESEARCH
On-Demand Patent Deep-Dive to Confluence
Triggered manually with a patent number or topic, pulls the full filing and its citations, analyzes claims and prior art, and publishes a detailed analyst page to Confluence.
How it runs
The automated pipeline, trigger to output.
- TriggerManual run with patent number or topic
- ActionLocate filing and its citation graphExa
- ActionScrape full text of target and referencesFirecrawl
- LogicAnalyze claims, novelty, and prior art
- OutputPublish deep-dive page to ConfluenceConfluence
What it does
You kick it off by hand with a patent number or a focused topic. It fetches the full filing, follows forward and backward citations to map the prior-art landscape, and produces a structured deep-dive: claim breakdown, novelty read, related filings, and a competitive implication. The finished analysis is published as a Confluence page.
When to use it
Use it when one filing or topic warrants a real investigation rather than a feed entry, for example preparing for a strategy review, a freedom-to-operate question, or a partnership diligence call.
How it works
- 1A manual trigger takes a patent number or topic as input.
- 2Exa locates the target filing and its citing and cited patents.
- 3Firecrawl pulls the full document text for the target and key references.
- 4An agent step analyzes the claims, novelty, and prior-art context.
- 5The Confluence step publishes the structured deep-dive page to your space.
Set it up
What you configure once, before turning it on.
- 1Connect ExaNeural search across the web.
- 2Connect FirecrawlCrawl, scrape, structured extract.
- 3Connect ConfluenceSpaces, pages, blueprints.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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