Will Donald Trump attend the G7 Summit? [ resolved 2026-06-17 ]
polymarket: [C] single source·reporting consensus methodology ›
distribution · by outcome · marks: daily snapshot
resolution architecture
| venue | proposer | source | citation | arbitration | class | analyst notes |
|---|---|---|---|---|---|---|
| polymarket | Whitelisted Proposers | uncommitted | not provided | Optimistic Oracle (UMA) | Other | — |
verbatim rules
polymarket
This market will resolve to "Yes" if the specified person attends the G7 Summit event scheduled for June 15, 2026 – June 17, 2026 in Évian-les-Bains, France. Otherwise, this market will resolve to "No".
If the event is canceled or postponed beyond June 30, 2026, 11:59 PM ET, this market will resolve to "No".
Attending the G7 Summit is defined as being in physical attendance at the event at any point between the start and end of the Summit.
The resolution source will be a consensus of credible reporting.
platform source field
polymarket.resolutionSource → ∅ no committed source — see rules text above resolution history
| outcome | market | venue | resolved | final price |
|---|---|---|---|---|
| NO | Will JD Vance attend the G7 Summit? | polymarket | 2026-06-18 | 0% |
| YES | Will Marco Rubio attend the G7 Summit? | polymarket | 2026-06-16 | 100% |
| YES | Will Donald Trump attend the G7 Summit? | polymarket | 2026-06-15 | 100% |
Resolution dates are the venue's settlement timestamps (3 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/who-will-attend-the-g7-summit/ |
| JSON | REST API for developers | https://api.clearmarket.fyi/v1/events/who-will-attend-the-g7-summit |
| MCP | agentic AI tool call (Claude Desktop, Cursor, Continue) | clearmarket.get_event("who-will-attend-the-g7-summit") |
| AGENT | AI crawler discovery index | /llms.txt |
Snapshot 2026-07-23. 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-D90PT3YL41",
"slug": "who-will-attend-the-g7-summit",
"question": "Will Donald Trump attend the G7 Summit?",
"category": "geopolitics",
"tags": [
"geopolitics",
"g7-summit",
"international-diplomacy",
"2026",
"political-attendance"
],
"venues_covered": [
"polymarket"
],
"market_count": 3,
"cumulative_volume_usd": 18023,
"resolution_clarity_grade": "C",
"rcg_score": 53,
"rcg_caps": [
"commitment_uncommitted_placeholder"
],
"resolution_source": null,
"resolution_source_url": null,
"source_status": "no_committed_source",
"source_of_record": null,
"resolution_source_list": null,
"arbitration_model": "uma_oracle",
"proposer_model": "managed_whitelist",
"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"
}
}
}