Will the winner of Pennsylvania's 7th congressional district House race be determined by January 4, 2027? [ resolves 2027-01-04 (153D) ]
kalshi: [A] single source·objective outcome methodology ›
distribution · by outcome · marks: daily snapshot
resolution architecture
| venue | proposer | source | citation | arbitration | class | analyst notes |
|---|---|---|---|---|---|---|
| kalshi | Exchange Staff | Library of Congress | not provided | Kalshi Staff | Other | — |
verbatim rules
kalshi
If the House member sworn in for PA-07 for the term beginning in 2027 is a member of Democratic, then the market resolves to Yes.
This market is eligible for accelerated determination after a consensus of media organizations project the winner. See full rules for details.
platform source field
kalshi.settlement_sources → "Library of Congress" sources (1) · single authority
Library of Congress committed source
recent wire items
- Buyers back the Democrat in PA-7 as odds stay above 75% 82% · $21K 24h
- Kalshi prices a Democratic win in Pennsylvania's 7th district at 82%, well above the 75% threshold, a strong lean.
- 24h volume of $20.7K is 26% of all-time flow, a notable single-day concentration for a House-level contract.
- PA-7 is a competitive suburban Philadelphia seat; fresh volume at this price suggests new polling or campaign-finance data is moving traders.
- Resolves on the certified winner of the PA-7 general election.
- Buyers back the Democrat to hold PA-7 at 78% 78% · $39K 24h
- Kalshi marks the Democratic candidate at 78%, a meaningful but not decisive lead heading into November.
- $39K in 24h represents 68% of all-time contract volume, a sharp concentration of late capital.
- PA-7 is a swing-district bellwether; fresh attention here often precedes new polling or redistricting news.
- Contract resolves on the certified winner of the PA-7 U.S. House general election.
programmatic access · four surfaces, same payload
One canonical record at every surface — embedded JSON-LD, REST, MCP, and /llms.txt.
| HTML | browsers, AI grounded search, crawlers (embedded JSON-LD @type: Dataset) | https://clearmarket.fyi/events/housepa7-26/ |
| JSON | REST API for developers | https://api.clearmarket.fyi/v1/events/housepa7-26 |
| MCP | agentic AI tool call (Claude Desktop, Cursor, Continue) | clearmarket.get_event("housepa7-26") |
| AGENT | AI crawler discovery index | /llms.txt |
Snapshot 2026-08-04. Venue data via Kalshi + Polymarket APIs. Editorial fields (tags, editorial_notes) are ClearMarket-drafted with AI assistance under editorial review. Derived fields (venues_covered, resolution_clarity_grade, rcg_score) computed at serve time. Full per-field map in the JSON record under field_provenance.
raw JSON record · same payload returned by REST endpoint {
"event_id": "CM-EVT-6S7C40J637",
"slug": "housepa7-26",
"question": "Will the winner of Pennsylvania's 7th congressional district House race be determined by January 4, 2027?",
"category": "politics",
"tags": [
"politics",
"us-house-races",
"pennsylvania-politics",
"2026-election",
"congressional-district",
"electoral-prediction"
],
"venues_covered": [
"kalshi"
],
"market_count": 2,
"cumulative_volume_usd": 11326,
"resolution_clarity_grade": "A",
"rcg_score": 86,
"rcg_caps": [],
"resolution_source": "Library of Congress",
"resolution_source_url": "https://www.congress.gov/",
"source_status": "platform_named",
"source_of_record": "Library of Congress",
"resolution_source_list": [
{
"name": "Library of Congress",
"url": "https://www.congress.gov/",
"provenance": "platform_api"
}
],
"arbitration_model": "kalshi_staff",
"proposer_model": "platform_staff",
"field_provenance": {
"question": {
"source": "clearmarket_editorial"
},
"tags": {
"source": "clearmarket_editorial",
"ai_drafted": true
},
"resolution_clarity_grade": {
"source": "derived",
"method": "rcg_v2_7factor"
},
"venues_covered": {
"source": "derived"
}
}
}