Collins Maine win combined with Paxton Texas win wavers below even odds
- Kalshi prices 39% on both Ken Paxton winning Texas and Susan Collins winning Maine in the November 2026 elections.
- Platner's primary win is consistent with the below-50% pricing, the market treats the Maine seat as genuinely competitive, dragging down the joint probability.
- A separate Kalshi contract prices 99% on Collins as the Republican nominee, confirming the market sees no GOP primary risk; the competitiveness is entirely in the general election.
- Resolves via Bureau of Labor Statistics per the named resolution source, though this appears to be a joint electoral outcome contract; resolution mechanics depend on both state certification results.
- story
- Democrat Graham Platner, an oyster farmer, won the Maine Democratic Senate primary, setting up a general election challenge against longtime Republican Senator Susan Collins.exa_search → bbc.co.uk · as_of 2026-06-11T12:08:11+00:00 [mediated]
- publisher
- bbc.co.uk
- published_at
- 2026-06-10T00:00:00.000Z
- interp
- Kalshi's 39% joint probability on Paxton and Collins both winning reflects the Maine seat's competitive general-election outlook after Platner's primary win, with Collins's nomination itself at 99%.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.
- cm_event
- /events/kxmetxcombo-26nov/
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/paxton-and-collins-both-win-nov-2026-kalshi-39-2026-06-10/ |
| JSON | REST API for developers | https://clearmarket.fyi/signals/paxton-and-collins-both-win-nov-2026-kalshi-39-2026-06-10.json |
| MCP | agentic AI tool call (Claude Desktop, Cursor, Continue) | clearmarket.get_signal("paxton-and-collins-both-win-nov-2026-kalshi-39-2026-06-10") |
| 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": "CMSIG2026061008",
"published_at": "2026-06-10T00:00:00.000Z",
"detection": "news_cycle",
"category_tag": "MOMENTUM_REPRICING",
"secondary_tags": [],
"pre_news_classification": "concurrent",
"target_event_id": "CM-EVT-DHD47MSVK6",
"target_event_slug": "kxmetxcombo-26nov",
"event_question": "Will Texas Senate be Ken Paxton wins AND Maine Senate be Susan Collins wins for Nov 2026?",
"bullets": [
"Kalshi prices 39% on both Ken Paxton winning Texas and Susan Collins winning Maine in the November 2026 elections.",
"Platner's primary win is consistent with the below-50% pricing, the market treats the Maine seat as genuinely competitive, dragging down the joint probability.",
"A separate Kalshi contract prices 99% on Collins as the Republican nominee, confirming the market sees no GOP primary risk; the competitiveness is entirely in the general election.",
"Resolves via Bureau of Labor Statistics per the named resolution source, though this appears to be a joint electoral outcome contract; resolution mechanics depend on both state certification results."
],
"atomic_claims": [
{
"type": "news_event",
"field_provenance": {
"story": {
"tier": "mediated",
"method": "exa_search",
"source": "bbc.co.uk",
"source_url": "https://www.bbc.co.uk/news/articles/c79yzzvddnlo",
"retrieved_at": "2026-06-11T12:08:11+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": "Democrat Graham Platner, an oyster farmer, won the Maine Democratic Senate primary, setting up a general election challenge against longtime Republican Senator Susan Collins.",
"publisher": "bbc.co.uk",
"published_at": "2026-06-10T00:00:00.000Z",
"source_url": "https://www.bbc.co.uk/news/articles/c79yzzvddnlo"
},
{
"type": "pm_response",
"field_provenance": {
"notes": {
"tier": "editorial",
"method": "llm_judge_cm_signal_v1"
}
},
"notes": "Kalshi's 39% joint probability on Paxton and Collins both winning reflects the Maine seat's competitive general-election outlook after Platner's primary win, with Collins's nomination itself at 99%."
}
],
"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/kxmetxcombo-26nov/",
"related": []
},
"external": {
"venue_a": "https://kalshi.com/markets/KXMETXCOMBO-26NOV-PAX-COL",
"venue_b": null,
"benchmark": null
}
},
"sources": [
{
"label": "bbc.co.uk: Platner wins Maine primary to challenge Collins - BBC News",
"url": "https://www.bbc.co.uk/news/articles/c79yzzvddnlo",
"published_at": "2026-06-10T00:00:00.000Z",
"retrieved_at": "2026-06-11T12:08:11+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