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Campaigns & Races

Candidate & Governor Search

Describe what you're looking for in plain language — PoliStack ranks candidates and governors by meaning, not keywords.

The prompt

> Using the PoliStack connector, find candidates focused on lowering healthcare and prescription drug costs. Provide a comprehensive response.

All of this — from one line.

One line runs a semantic search and ranks the candidates whose platforms best match — by meaning.

What you get
  • Natural-language semantic ranking (not keyword match)
  • Each match's stated priorities and short bio
  • Party, state, district, and incumbency status
  • A similarity score for every result
The response
8
Matches
ranked by similarity
0.73–0.75
Similarity range
strong semantic match
6 states
Spread
VA, NM, CO, TX, CA, GA, MI
CandidateSeatPartyWhy it matchedScore
Suzanne KrzyzanowskiVA-05DFamily physician; universal coverage, drug costs0.75
Nila DevanathVA-02DPhysician/attorney; protect care, lower costs0.75
Didi OkparekeNM-01RPharmacist; affordability & access0.74
Yadira CaraveoCO-08DPediatrician, ex-Rep; lower drug costs0.73
Todd IveyTX-09DOB/GYN; affordable healthcare0.73
Barry WolfertGA-11DLower costs; protect Medicare/ACA0.73
Semantic, not keyword
None of these queries required the words in a bio to match exactly — PoliStack ranked by meaning, which is why the field skews to physicians and a pharmacist who've made cost-of-care their platform.
It isn't partisan
The ranked results span Democrats and a Republican (Didi Okpareke, NM-01), across six states — the match is about the platform, not the party.

Sample generated from live data in the PoliStack political knowledge graph, June 2026. Figures update as filings, votes, and markets change. In Claude or ChatGPT, the PoliStack HTML-render skill returns this as a self-contained interactive report.

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