ClearMarket
Reference data for prediction markets: graded resolution clarity, cross-venue links, provenance.
Sollte ich dies verwenden
Qualität und Sicherheit
Befunde (3)
- HIGH
- MEDIUMin get_market
- INFOin get_market
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"clearmarket": {
"url": "https://api.clearmarket.fyi/mcp"
}
}
}Remote-Endpunkte
https://api.clearmarket.fyi/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (6)
🟢list_events(q, category, platform, grade, limit, ...)
Browse or search ClearMarket prediction-market events. Filter by category, platform, Resolution Clarity Grade, or free-text `q`. `q` is token-AND across question + tags, so SHORT KEYWORD queries match best ("microstrategy bitcoin", "fed rate") — natural-language phrases often return nothing. Returns compact graded summaries: slug, question, venues_covered, primary grade, rcg_score (0-100, for ranking clarity), last_price, and status (open / resolved). Start here when you have a topic but not a slug; then call get_event for the full graded record. Categories: economics, financials, crypto, companies, technology, politics, geopolitics, health, climate.
Eingabe-Schema
{
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "Free-text search across event questions. Omit to list the whole filtered universe."
},
"category": {
"type": "string",
"enum": [
"economics",
"financials",
"crypto",
"companies",
"technology",
"politics",
"geopolitics",
"health",
"climate"
]
},
"platform": {
"type": "string",
"enum": [
"kalshi",
"polymarket"
]
},
"grade": {
"type": "string",
"enum": [
"A",
"B",
"C"
],
"description": "Resolution Clarity Grade of the primary market."
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 100,
"default": 50
},
"offset": {
"type": "integer",
"minimum": 0,
"default": 0
}
}
}🟡get_event(slug, detail)
Fetch the full ClearMarket record for one event by slug: the canonical question, every market in this event's single-venue bundle, each market's current price + Resolution Clarity Grade (A/B/C) + resolution-source provenance, the canonical question_id where the question is linked across venues/events (null otherwise; also_on lists the same question priced on the other venue, when it trades there), and the upcoming catalyst dates that move it before it resolves. In the default detail="full", each market in the bundle is FULLY detailed (grade, rcg.caps, provenance, direction, settlement_style, also_on) — you do not need a separate get_market call for markets already in this event. Note: a shared question_id means same topic across venues; in rare cases it links structurally-different contracts (e.g. a "hike" vs a "cut-count" market), so verify the contract shape before treating two as an arbitrage pair. Use when you need the authoritative, graded view of a SPECIFIC event — including its cross-venue twins via also_on — before reasoning about or acting on a prediction market. If you only have a topic (not a slug), call list_events first. Set detail="concise" for a quick grade/price/source check (each market trimmed to the essentials — much smaller for events with many markets); use the default detail="full" when you need every market's rules, contract shape, and complete provenance.
Eingabe-Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Event slug (e.g. \"kxgdpyear-26\") or CM event id (CM-EVT-…)."
},
"detail": {
"type": "string",
"enum": [
"concise",
"full"
],
"default": "full",
"description": "concise = essentials only (grade, price, source, also_on per market); full = the complete record. Default full."
}
},
"required": [
"slug"
]
}🟢get_market(market_id)
Fetch one market and judge whether its price can be trusted. Accepts whatever id you have: a ClearMarket id (CM-MKT-…), a venue-native market id or Kalshi ticker, or a market URL (best-effort — Kalshi tickers / a native id in the path resolve; for Polymarket pass the conditionId, not the slug URL). Returns: raw question, current price / implied probability, the Resolution Clarity Grade with rcg.score (0-100) and rcg.caps (a cap such as "uncommitted_placeholder" hard-limits the grade — that is why a single-source market can still be C), full resolution provenance (arbitration_model = who resolves it, named source, source_type, and a graded source_status on EVERY market: named / no-committed-source / none / unknown), the contract shape (direction, settlement_style, threshold), the canonical question_id where linked, and also_on (the same question priced on other venues). The returned market_id is ALWAYS the canonical ClearMarket id (CM-MKT-…) — store and reuse THAT, not the venue id. Use before trusting or acting on a price.
Eingabe-Schema
{
"type": "object",
"properties": {
"market_id": {
"type": "string",
"description": "A ClearMarket id (CM-MKT-…), a venue-native market id / Kalshi ticker, or a market URL (best-effort: Kalshi URLs resolve; for Polymarket pass the conditionId)."
}
},
"required": [
"market_id"
]
}🟢list_upcoming_catalysts(days)
List scheduled catalysts (CPI, jobs, FOMC, GDP, large-cap earnings) in the next N days that move prediction-market prices BEFORE those markets resolve — a cross-event view across the whole calendar. Each entry is provenanced to its authoritative source (BLS, Fed, etc.). Use to find what scheduled events will reprice the prediction-market universe soon.
Eingabe-Schema
{
"type": "object",
"properties": {
"days": {
"type": "integer",
"minimum": 1,
"maximum": 365,
"default": 30
}
}
}🟢list_signals(event_id, category, venue, detection_path, limit)
Browse the CM Signal daily wire — short, structured prediction-market bulletins (the price is the lede, news is context). Filter by event_id (every wire touching a specific event), category, venue, or detection type (news_cycle, cross_venue_divergence, benchmark_drift, volume_spike). Returns compact records, newest first; call get_signal for the full bulletin. Use to find ClearMarket's editorial read on what is moving.
Eingabe-Schema
{
"type": "object",
"properties": {
"event_id": {
"type": "string",
"description": "Return only wires that target or link to this CM event_id."
},
"category": {
"type": "string",
"description": "Signal category tag (case-insensitive): VS_BENCHMARK_DRIFT | CROSS_VENUE_DIVERGENCE | VOLUME_SPIKE | MOMENTUM_REPRICING | PRE_EVENT_PRICING. For thematic filtering use list_events."
},
"venue": {
"type": "string",
"enum": [
"kalshi",
"polymarket"
]
},
"detection_path": {
"type": "string",
"enum": [
"news_cycle",
"cross_venue_divergence",
"benchmark_drift",
"volume_spike"
]
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 100,
"default": 30
}
}
}🟢get_signal(slug)
Fetch one full CM Signal wire by slug: headline, the 3-5 structured bullets, atomic claims with per-field provenance tiers, the target + linked events, primary and related markets with prices, and sources. Use when you have a wire slug (from list_signals) and need the complete bulletin with its proof chain.
Eingabe-Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Wire slug, e.g. \"us-iran-nuclear-deal-before-2027-polymarket-77-2026-05-29\"."
}
},
"required": [
"slug"
]
}Community
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