US embassy reopening in Iran stays a long shot at 2 percent
- Kalshi prices the US reopening its embassy in Iran at 2%, consistent with near-complete market skepticism about a diplomatic breakthrough.
- Iran readying retaliatory posture and Trump's threat to strike Tehran are fully consistent with this near-zero probability; market and news are aligned.
- A separate Kalshi contract on the US recognizing Reza Pahlavi as Iran's leader sits at 4%, also negligible, framing the entire Iran diplomatic spectrum as a long shot.
- Kalshi resolves via the New York Times; the low base rate means even a credible preliminary deal announcement would likely produce sharp repricing from a very low starting point.
- story
- Iran is readying harder retaliation if attacked as US-Iran diplomacy faces long odds, with both sides believing they hold sufficient leverage.exa_search → Parisa Hafezi · as_of 2026-10-01T15:03:15+00:00 [mediated]
- publisher
- Parisa Hafezi
- published_at
- 2026-10-01T00:00:00.000Z
- interp
- Kalshi contract resolves via the New York Times; at 2%, this is one of the most one-sided political contracts in the current batch, pricing out any near-term normalization scenario.llm_judge_cm_signal_v1 [editorial]
News-cycle wires publish on coverage, not editorial selection — the day’s top stories matched to the prediction markets pricing them, so nothing is cherry-picked.
- judge_engine
none — deterministic news-cycle scan- judge_verdict
- auto_published
- judge_confidence
- n/a — no judge gate (deterministic publishing)
- prompt_template
news_cycle_v1github · auditable- match_method
entity_slug_match (mechanical)
Every wire traces back to the ClearMarket event it is built on, and out to each venue’s own market page — so any figure here can be verified at its source.
- cm_event
- /events/kxiranembassy-27/
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 (contains embedded JSON-LD @type: Dataset) | https://clearmarket.fyi/signals/us-embassy-reopen-in-iran-kalshi-2-2026-10-01/ |
| JSON | REST API for developers | https://clearmarket.fyi/signals/us-embassy-reopen-in-iran-kalshi-2-2026-10-01.json |
| MCP | agentic AI tool call (Claude Desktop, Cursor, Continue) | clearmarket.get_signal("us-embassy-reopen-in-iran-kalshi-2-2026-10-01") |
| AGENT | AI crawler discovery index | /llms.txt |
PM data: platform APIs (hourly refresh). News context: retrieved with source citations. Editorial judgment: LLM judge with prompt template versioned per wire type. Per-claim provenance inline above; full per-field provenance map at the JSON endpoint under field_provenance.
raw JSON record · same payload returned by REST endpoint {
"$schema": "https://clearmarket.fyi/schema/signal/v1.json",
"provenance_version": "0.2.0",
"record_id": "CMSIG2026100107",
"published_at": "2026-10-01T00:00:00.000Z",
"detection": "news_cycle",
"category_tag": "MOMENTUM_REPRICING",
"secondary_tags": [],
"pre_news_classification": "concurrent",
"target_event_id": "CM-EVT-34SYT4T2T1",
"target_event_slug": "kxiranembassy-27",
"event_question": "Will the United States reopen its embassy in Iran?",
"bullets": [
"Kalshi prices the US reopening its embassy in Iran at 2%, consistent with near-complete market skepticism about a diplomatic breakthrough.",
"Iran readying retaliatory posture and Trump's threat to strike Tehran are fully consistent with this near-zero probability; market and news are aligned.",
"A separate Kalshi contract on the US recognizing Reza Pahlavi as Iran's leader sits at 4%, also negligible, framing the entire Iran diplomatic spectrum as a long shot.",
"Kalshi resolves via the New York Times; the low base rate means even a credible preliminary deal announcement would likely produce sharp repricing from a very low starting point."
],
"atomic_claims": [
{
"type": "news_event",
"field_provenance": {
"story": {
"tier": "mediated",
"method": "exa_search",
"source": "Parisa Hafezi",
"source_url": "https://www.al-monitor.com/originals/2026/10/iran-readies-harder-retaliation-if-attacked-diplomacy-faces-long-odds",
"retrieved_at": "2026-10-01T15:03:15+00:00"
}
},
"significance": {
"threshold": 5,
"threshold_unit": "rank",
"passed": true,
"reason": "surfaced in the daily Exa news-cycle scan; mechanically matched to an active kalshi market"
},
"story": "Iran is readying harder retaliation if attacked as US-Iran diplomacy faces long odds, with both sides believing they hold sufficient leverage.",
"publisher": "Parisa Hafezi",
"published_at": "2026-10-01T00:00:00.000Z",
"source_url": "https://www.al-monitor.com/originals/2026/10/iran-readies-harder-retaliation-if-attacked-diplomacy-faces-long-odds"
},
{
"type": "pm_response",
"field_provenance": {
"notes": {
"tier": "editorial",
"method": "llm_judge_cm_signal_v1"
}
},
"notes": "Kalshi contract resolves via the New York Times; at 2%, this is one of the most one-sided political contracts in the current batch, pricing out any near-term normalization scenario."
}
],
"evaluation": {
"judge_engine": "none — deterministic news-cycle scan",
"judge_verdict": "auto_published",
"judge_confidence": null,
"prompt_template": "news_cycle_v1"
},
"citations": {
"internal": {
"cm_event": "/events/kxiranembassy-27/",
"related": []
},
"external": {
"venue_a": "https://kalshi.com/markets/KXIRANEMBASSY-27",
"venue_b": null,
"benchmark": null
}
},
"sources": [
{
"label": "Parisa Hafezi: Iran readies harder retaliation if attacked as diplomacy faces long od",
"url": "https://www.al-monitor.com/originals/2026/10/iran-readies-harder-retaliation-if-attacked-diplomacy-faces-long-odds",
"published_at": "2026-10-01T00:00:00.000Z",
"retrieved_at": "2026-10-01T15:03:15+00:00"
}
],
"field_provenance": {
"pm_data": "kalshi_api",
"news_context": "exa_search",
"editorial_judgment": "cm_signal_llm_judge"
}
}
PROVENANCE PROTOCOL v0.2 · [direct] venue api · [mediated] grounded web fetch + source url · [derived] computed from listed inputs · [editorial] versioned llm judgment · full spec /schema/provenance/v1