Rainfall in Dallas, June 2026 [ resolves 2026-07-02 (29D) ]
| market | resolves | P(YES) | vol (24h) | vol (cum) | RCG | venue id | ||
|---|---|---|---|---|---|---|---|---|
| ≥ 1 | 2026-07-02 | 99.0% | $2.5K | $2.5K | A | KXRAINDALM-26JUN-1 | ||
| ≥ 2 | 2026-07-02 | 99.0% | $34K | $34K | A | KXRAINDALM-26JUN-2 | ||
| ≥ 3 | 2026-07-02 | 97.0% | $889 | $978 | A | KXRAINDALM-26JUN-3 | ||
| ≥ 4 | 2026-07-02 | 78.0% | $1.5K | $1.7K | A | KXRAINDALM-26JUN-4 | ||
| ≥ 5 | 2026-07-02 | 60.0% | $501 | $594 | A | KXRAINDALM-26JUN-5 | ||
| ≥ 6 | 2026-07-02 | 21.0% | $396 | $420 | A | KXRAINDALM-26JUN-6 | ||
| ≥ 7 | 2026-07-02 | 22.0% | $180 | $186 | A | KXRAINDALM-26JUN-7 |
| venue | proposer | source | citation | arbitration | class | analyst notes |
|---|---|---|---|---|---|---|
| kalshi | Exchange Staff | National Weather Service | not provided | Kalshi Staff | Other | — |
kalshi.settlement_sources → "National Weather Service" 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/kxraindalm-26jun/ |
| JSON | REST API for developers | https://api.clearmarket.fyi/v1/events/kxraindalm-26jun.json |
| MCP | agentic AI tool call (Claude Desktop, Cursor, Continue) | clearmarket.get_event("kxraindalm-26jun") |
| 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-7QYVPKJQB0",
"slug": "kxraindalm-26jun",
"question": "Rainfall in Dallas, June 2026",
"category": "climate",
"tags": [
"climate",
"weather",
"precipitation",
"dallas-texas",
"june-2026",
"binary-outcome"
],
"venues_covered": [
"kalshi"
],
"market_count": 7,
"cumulative_volume_usd": 40304,
"resolution_clarity_grade": "A",
"rcg_score": 88,
"rcg_caps": [],
"resolution_source": "National Weather Service",
"resolution_source_url": "https://www.weather.gov",
"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"
}
}
}