MARKET RESEARCH
Analyst Coinage Attribution Tracker
On demand, traces a given emerging term back to who coined it and when, builds a provenance timeline with Exa and Brave, and records it in an Airtable source-of-truth.
How it runs
The automated pipeline, trigger to output.
- TriggerManual run with term to investigate
- ActionExa neural search for earliest usagesExa
- ActionBrave Search adds coverage and spreadBrave Search
- ActionBuild dated provenance timeline, name originatorOpenAI
- LogicAssign attribution confidence from source agreement
- OutputWrite structured record to AirtableAirtable
What it does
Given a term you submit, it reconstructs the term's origin story: who used it first, which analyst firm or vendor amplified it, and how usage spread over time. It assembles a dated provenance timeline from Exa neural search and Brave results and stores a structured record in Airtable so your team has an attributable history, not just a definition.
When to use it
Use it before citing a category term in a deck, analyst briefing, or launch — when you need to know whether a phrase is a Gartner coinage, a competitor's invention, or genuinely neutral, and avoid amplifying a rival's framing by accident.
How it works
- 1You trigger the run manually with the term to investigate.
- 2Exa runs a recency-sorted neural search to find earliest credible usages.
- 3Brave Search adds news and mainstream coverage for spread and adoption.
- 4OpenAI orders the evidence into a dated provenance timeline and names the likely originator.
- 5A logic step assigns an attribution confidence level from the source agreement.
- 6The structured record and timeline are written to an Airtable base.
Set it up
What you configure once, before turning it on.
- 1Connect ExaNeural search across the web.
- 2Connect Brave SearchWeb, news, image, video search.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect AirtableBases, tables, views, automations.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, 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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