Five or more Senate Republicans losing re-election wavers below coin flip
- The Kalshi prediction market puts 39% on at least five Senate Republicans losing re-election in 2026.
- Trump's success in installing loyalist candidates may boost primary turnout but introduces general-election vulnerability, the 39% reading reflects genuine uncertainty about that tradeoff.
- Companion Kalshi contract CM-EVT-RSPZ64CMS2 prices 92% on more than some threshold of Republicans losing their primary, suggesting primary disruption is near-fully priced while general-election losses remain contested.
- Kalshi contract resolves via the Senate Parliamentarian's certification of election results; the threshold of exactly five seats is a precise trigger that makes near-miss scenarios material to settlement.
- story
- Trump reshaped the 2026 Senate map by sidelining incumbents and promoting loyalists, raising questions about how much he will spend to protect them.exa_search → ABC News · as_of 2026-07-03T10:32:12+00:00 [mediated]
- publisher
- ABC News
- published_at
- 2026-07-03T04:02:57.000Z
- interp
- Kalshi binary at 39%; the 53-point gap versus companion CM-EVT-RSPZ64CMS2 at 92% reveals the market sees primary disruption as likely but general-election losses as a coin-flip.llm_judge_cm_signal_v1 [editorial]
News-cycle wires publish on coverage, not editorial selection — the day’s top stories matched to the prediction markets pricing them, so nothing is cherry-picked.
- judge_engine
none — deterministic news-cycle scan- judge_verdict
- auto_published
- judge_confidence
- n/a — no judge gate (deterministic publishing)
- prompt_template
news_cycle_v1github · auditable- match_method
entity_slug_match (mechanical)
Every wire traces back to the ClearMarket event it is built on, and out to each venue’s own market page — so any figure here can be verified at its source.
AI grounded search reads embedded JSON-LD in HTML. Developers query REST. Agentic AI clients (Claude Desktop, Cursor) call MCP tools. AI crawlers index via /llms.txt. Same canonical record at every surface.
| HTML | browsers, AI grounded search, crawlers (contains embedded JSON-LD @type: Dataset) | https://clearmarket.fyi/signals/five-plus-gop-senate-seats-lost-in-2026-kalshi-39-2026-07-03/ |
| JSON | REST API for developers | https://clearmarket.fyi/signals/five-plus-gop-senate-seats-lost-in-2026-kalshi-39-2026-07-03.json |
| MCP | agentic AI tool call (Claude Desktop, Cursor, Continue) | clearmarket.get_signal("five-plus-gop-senate-seats-lost-in-2026-kalshi-39-2026-07-03") |
| AGENT | AI crawler discovery index | /llms.txt |
PM data: platform APIs (hourly refresh). News context: retrieved with source citations. Editorial judgment: LLM judge with prompt template versioned per wire type. Per-claim provenance inline above; full per-field provenance map at the JSON endpoint under field_provenance.
raw JSON record · same payload returned by REST endpoint {
"$schema": "https://clearmarket.fyi/schema/signal/v1.json",
"provenance_version": "0.2.0",
"record_id": "CMSIG2026070308",
"published_at": "2026-07-03T04:02:57.000Z",
"detection": "news_cycle",
"category_tag": "MOMENTUM_REPRICING",
"secondary_tags": [],
"pre_news_classification": "concurrent",
"target_event_id": "CM-EVT-39Y2BB24Y8",
"target_event_slug": "kxlosereelectionrsen-2026",
"event_question": "Will at least 5 the Senate Republicans lose re-election in 2026?",
"bullets": [
"The Kalshi prediction market puts 39% on at least five Senate Republicans losing re-election in 2026.",
"Trump's success in installing loyalist candidates may boost primary turnout but introduces general-election vulnerability, the 39% reading reflects genuine uncertainty about that tradeoff.",
"Companion Kalshi contract CM-EVT-RSPZ64CMS2 prices 92% on more than some threshold of Republicans losing their primary, suggesting primary disruption is near-fully priced while general-election losses remain contested.",
"Kalshi contract resolves via the Senate Parliamentarian's certification of election results; the threshold of exactly five seats is a precise trigger that makes near-miss scenarios material to settlement."
],
"atomic_claims": [
{
"type": "news_event",
"field_provenance": {
"story": {
"tier": "mediated",
"method": "exa_search",
"source": "ABC News",
"source_url": "https://abcnews.com/Politics/wireStory/trump-senate-candidates-wanted-spend-134432889",
"retrieved_at": "2026-07-03T10:32:12+00:00"
}
},
"significance": {
"threshold": 5,
"threshold_unit": "rank",
"passed": true,
"reason": "surfaced in the daily Exa news-cycle scan; mechanically matched to an active kalshi market"
},
"story": "Trump reshaped the 2026 Senate map by sidelining incumbents and promoting loyalists, raising questions about how much he will spend to protect them.",
"publisher": "ABC News",
"published_at": "2026-07-03T04:02:57.000Z",
"source_url": "https://abcnews.com/Politics/wireStory/trump-senate-candidates-wanted-spend-134432889"
},
{
"type": "pm_response",
"field_provenance": {
"notes": {
"tier": "editorial",
"method": "llm_judge_cm_signal_v1"
}
},
"notes": "Kalshi binary at 39%; the 53-point gap versus companion CM-EVT-RSPZ64CMS2 at 92% reveals the market sees primary disruption as likely but general-election losses as a coin-flip."
}
],
"evaluation": {
"judge_engine": "none — deterministic news-cycle scan",
"judge_verdict": "auto_published",
"judge_confidence": null,
"prompt_template": "news_cycle_v1"
},
"citations": {
"internal": {
"cm_event": "/events/kxlosereelectionrsen-2026/",
"related": []
},
"external": {
"venue_a": "https://kalshi.com/markets/KXLOSEREELECTIONRSEN-2026-5",
"venue_b": null,
"benchmark": null
}
},
"sources": [
{
"label": "ABC News: Trump got the Senate candidates he wanted. How much will he spend to h",
"url": "https://abcnews.com/Politics/wireStory/trump-senate-candidates-wanted-spend-134432889",
"published_at": "2026-07-03T04:02:57.000Z",
"retrieved_at": "2026-07-03T10:32:12+00:00"
}
],
"field_provenance": {
"pm_data": "kalshi_api",
"news_context": "exa_search",
"editorial_judgment": "cm_signal_llm_judge"
}
}
PROVENANCE PROTOCOL v0.2 · [direct] venue api · [mediated] grounded web fetch + source url · [derived] computed from listed inputs · [editorial] versioned llm judgment · full spec /schema/provenance/v1