DoorDash total orders, Q2 2026 [ resolved 2026-08-05 ]
kalshi: [C] single source·objective outcome methodology ›
distribution · by outcome · marks: daily snapshot
kalshi 7 markets
| market | resolves | P(YES) | vol (24h) | vol (cum) | RCG | venue id | ||
|---|---|---|---|---|---|---|---|---|
| > 940 | 2026-08-05 | 100.0% | $3.3K | $11K | C | KXDASH-26AUG…000 | ||
| > 960 | 2026-08-05 | 100.0% | $746 | $7.2K | C | KXDASH-26AUG…000 | ||
| > 980 | 2026-08-05 | 0.0% | $926 | $3.3K | C | KXDASH-26AUG…000 | ||
| > 1000 | 2026-08-05 | 0.0% | $85 | $662 | C | KXDASH-26AUG…000 | ||
| > 1020 | 2026-08-05 | 0.0% | — | $455 | C | KXDASH-26AUG…000 | ||
| > 1040 | 2026-08-05 | 0.0% | $29 | $111 | C | KXDASH-26AUG…000 | ||
| > 1060 | 2026-08-05 | 0.0% | $31 | $105 | C | KXDASH-26AUG…000 |
resolution architecture
| venue | proposer | source | citation | arbitration | class | analyst notes |
|---|---|---|---|---|---|---|
| kalshi | Exchange Staff | Fiscal.ai | not provided | Kalshi Staff | Other | — |
verbatim rules
kalshi
If DoorDash Inc. reports above 940000000 total orders in Q2 2026, then the market resolves to Yes.
platform source field
kalshi.settlement_sources → "Fiscal.ai" sources (1) · single authority
Fiscal.ai committed source
resolution history
| outcome | market | venue | resolved | final price |
|---|---|---|---|---|
| YES | Will DoorDash Inc. report above 940 million total orders in Q2 2026? | kalshi | 2026-08-05 | 100% |
| YES | Will DoorDash Inc. report above 960 million total orders in Q2 2026? | kalshi | 2026-08-05 | 100% |
| NO | Will DoorDash Inc. report above 980 million total orders in Q2 2026? | kalshi | 2026-08-05 | 0% |
| NO | Will DoorDash Inc. report above 1000 million total orders in Q2 2026? | kalshi | 2026-08-05 | 0% |
| NO | Will DoorDash Inc. report above 1020 million total orders in Q2 2026? | kalshi | 2026-08-05 | 0% |
| NO | Will DoorDash Inc. report above 1040 million total orders in Q2 2026? | kalshi | 2026-08-05 | 0% |
| NO | Will DoorDash Inc. report above 1060 million total orders in Q2 2026? | kalshi | 2026-08-05 | 0% |
Resolution dates are the venue's settlement timestamps (7 resolved markets). Rows shown as "by [date]" carry the contract deadline: the venue no longer exposes a settlement time for them. PENDING upgrades to a final outcome on the next refresh.
recent wire items
monitoring status: active no active wire
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.
programmatic access · four surfaces, same payload
One canonical record at every surface — embedded JSON-LD, REST, MCP, and /llms.txt.
| HTML | browsers, AI grounded search, crawlers (embedded JSON-LD @type: Dataset) | https://clearmarket.fyi/events/kxdash-26augorders/ |
| JSON | REST API for developers | https://api.clearmarket.fyi/v1/events/kxdash-26augorders |
| MCP | agentic AI tool call (Claude Desktop, Cursor, Continue) | clearmarket.get_event("kxdash-26augorders") |
| AGENT | AI crawler discovery index | /llms.txt |
Snapshot 2026-08-04. 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-GKGRRKSX88",
"slug": "kxdash-26augorders",
"question": "DoorDash total orders, Q2 2026",
"category": "financials",
"tags": [
"financials",
"doordash",
"q2-2026",
"order-volume",
"financial-metrics",
"food-delivery"
],
"venues_covered": [
"kalshi"
],
"market_count": 7,
"cumulative_volume_usd": 22600,
"resolution_clarity_grade": "C",
"rcg_score": 84,
"rcg_caps": [
"commitment_committed_secondhand"
],
"resolution_source": "Fiscal.ai",
"resolution_source_url": "https://fiscal.ai",
"source_status": "platform_named",
"source_of_record": "Fiscal.ai",
"resolution_source_list": [
{
"name": "Fiscal.ai",
"url": "https://fiscal.ai",
"provenance": "platform_api"
}
],
"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"
}
}
}