Reddit daily active uniques, July 2026 [ resolves 2026-08-29 (87D) ]
| market | resolves | P(YES) | vol (24h) | vol (cum) | RCG | venue id | ||
|---|---|---|---|---|---|---|---|---|
| ≥ 128,000,000 | 2026-08-29 | 96.0% | — | $3.1K | A | KXRDDT-26JUL…000 | ||
| ≥ 129,000,000 | 2026-08-29 | 91.0% | — | $258 | A | KXRDDT-26JUL…000 | ||
| ≥ 130,000,000 | 2026-08-29 | 75.0% | — | $1.9K | A | KXRDDT-26JUL…000 | ||
| ≥ 131,000,000 | 2026-08-29 | 67.0% | — | $632 | A | KXRDDT-26JUL…000 | ||
| ≥ 131,500,000 | 2026-08-29 | 48.0% | — | $1 | A | KXRDDT-26JUL…000 | ||
| ≥ 132,000,000 | 2026-08-29 | 27.0% | — | $596 | A | KXRDDT-26JUL…000 | ||
| ≥ 133,000,000 | 2026-08-29 | 14.0% | — | $453 | A | KXRDDT-26JUL…000 | ||
| ≥ 134,000,000 | 2026-08-29 | 6.0% | — | $135 | A | KXRDDT-26JUL…000 | ||
| ≥ 135,000,000 | 2026-08-29 | 5.0% | — | $225 | A | KXRDDT-26JUL…000 | ||
| ≥ 136,000,000 | 2026-08-29 | 2.0% | — | $122 | A | KXRDDT-26JUL…000 |
| venue | proposer | source | citation | arbitration | class | analyst notes |
|---|---|---|---|---|---|---|
| kalshi | Exchange Staff | Fiscal.ai | not provided | Kalshi Staff | Other | — |
kalshi.settlement_sources → "Fiscal.ai" 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/kxrddt-26juldau/ |
| JSON | REST API for developers | https://api.clearmarket.fyi/v1/events/kxrddt-26juldau.json |
| MCP | agentic AI tool call (Claude Desktop, Cursor, Continue) | clearmarket.get_event("kxrddt-26juldau") |
| 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-KFH2CHVLD9",
"slug": "kxrddt-26juldau",
"question": "Reddit daily active uniques, July 2026",
"category": "financials",
"tags": [
"financials",
"reddit-dau",
"q2-2026",
"user-engagement",
"social-media",
"financial-metrics"
],
"venues_covered": [
"kalshi"
],
"market_count": 10,
"cumulative_volume_usd": 7428,
"resolution_clarity_grade": "A",
"rcg_score": 84,
"rcg_caps": [],
"resolution_source": "Fiscal.ai",
"resolution_source_url": "https://fiscal.ai",
"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"
}
}
}