Will Dem Nominee be Graham Platner AND General Election Winner be Democrat for Jan 2027? [ resolves 2027-01-01 (212D) ]
Will Dem Nominee be Graham Platner AND General Election Winner be Democrat for Jan 2027?
| market | resolves | P(YES) | vol (24h) | vol (cum) | RCG | venue id | ||
|---|---|---|---|---|---|---|---|---|
| Will Dem Nominee be Graham Platner AND General Election Winner be Democrat for… | 2027-01-01 | 53.0% | $18K | $55K | A | KXMESENOUTCO…GPD | ||
| Will Dem Nominee be Graham Platner AND General Election Winner be Republican… | 2027-01-01 | 39.0% | $252 | $7.2K | A | KXMESENOUTCO…GPR | ||
| Will Dem Nominee be Janet Mills AND General Election Winner be Republican for… | 2027-01-01 | 5.5% | $1 | $433 | A | KXMESENOUTCO…JMR | ||
| Will Dem Nominee be Janet Mills AND General Election Winner be Democrat for Jan… | 2027-01-01 | 4.7% | $133 | $618 | A | KXMESENOUTCO…JMD |
| venue | proposer | source | citation | arbitration | class | analyst notes |
|---|---|---|---|---|---|---|
| kalshi | Exchange Staff | Bureau of Labor Statistics | link | Kalshi Staff | Other | — |
kalshi.settlement_sources → "Bureau of Labor Statistics" ↗ No CM Signal wire has been published for this event yet.
CM Signal’s news-cycle scan surfaces the day’s top stories alongside the prediction markets pricing them. When a story references this event, its wire is published here and links back to this page.
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 (embedded JSON-LD @type: Dataset) | https://clearmarket.fyi/events/kxmesenoutcome-27jan/ |
| JSON | REST API for developers | https://api.clearmarket.fyi/v1/events/kxmesenoutcome-27jan.json |
| MCP | agentic AI tool call (Claude Desktop, Cursor, Continue) | clearmarket.get_event("kxmesenoutcome-27jan") |
| AGENT | AI crawler discovery index | /llms.txt |
Snapshot 2026-06-03. 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-2KYR51YTD3",
"slug": "kxmesenoutcome-27jan",
"question": "Will Dem Nominee be Graham Platner AND General Election Winner be Democrat for Jan 2027?",
"category": "politics",
"tags": [
"politics",
"maine-senate",
"2026-election",
"us-senate",
"exact-outcome",
"electoral-forecast"
],
"venues_covered": [
"kalshi"
],
"market_count": 4,
"cumulative_volume_usd": 63595,
"resolution_clarity_grade": "A",
"rcg_score": 85,
"rcg_caps": [],
"resolution_source": "Bureau of Labor Statistics",
"resolution_source_url": "https://www.bls.gov/news.release/empsit.nr0.htm",
"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"
}
}
}