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127,516 tools. Last updated 2026-05-05 19:57

"Prediction methods or tools for Polymarket outcomes" matching MCP tools:

  • List all available Harvey Intel tools with pricing and input requirements. Use this for discovery.
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  • List available MCP tools and get detailed help. Use this tool to discover what tools are available and how to use them. Call without parameters to see all tools, or provide a tool name to get detailed help including parameters, examples, and related tools. Args: tool_name: Optional name of a specific tool to get detailed help for. Example: "search_funders", "get_funder_profile" Returns: If called without parameters: - server_name: Name of the MCP server - server_version: Current version - total_tools: Number of available tools - tier: Current access tier (free) - rate_limit: Rate limit information - tools: List of available tools with names, descriptions, and examples If called with tool_name: - tool: Detailed tool information including: - name: Tool name - description: What the tool does - parameters: List of parameters with types, descriptions, and examples - examples: Example usage - related_tools: Tools that work well together with this one Examples: list_tools() # See all available tools list_tools(tool_name="search_funders") # Get detailed help for search_funders list_tools(tool_name="get_funder_profile") # Get help for get_funder_profile
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  • Search Polymarket for events and markets by name, topic, URL, or slug. **PM building blocks:** - An **event** is a grouped prediction topic containing many child markets. - A **market** is one tradable outcome with its own `marketId`. - Example: `2026 NCAA Tournament Winner` is an event; `Will Duke win the 2026 NCAA Tournament?` is a market. Detail tools require `marketId`, not `eventId`. **When to use:** - First tool when the user asks about a specific PM topic, event, slug, or Polymarket URL but does not provide `marketId`. - Optionally provide `queryVariant` as a cleaner short keyword version. - Set `includeEventMarkets` to true to also return child markets for the best-matching event. - Do NOT use `general_search` for prediction markets. - Results include current outcome prices, last trade price, and bid/ask inline — for a quick probability check you may not need `prediction_market_ohlcv`. For price *history* or dated moves, still use `prediction_market_ohlcv`. **Query tips:** - Uses Polymarket's search API — natural language queries work well. - Prefer short 1–3 keyword queries for best results. - Avoid broad multi-topic queries like `bitcoin ethereum politics`. **Output rules:** - If lookup returns no suitable market or a mismatched timeframe, say so explicitly — do not silently substitute a nearby market.
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  • Predict the VAS (Viewability Attention Score) a specific creative would achieve at a given moment, based on historical data and causal modeling. Uses the CausalPredictionService which: 1. Embeds the moment description to find historically similar moments 2. If >= 5 similar moments exist with the same creative, uses weighted-average prediction 3. If insufficient data, falls back to Gemini generative prediction 4. Always decomposes the prediction into causal factors WHEN TO USE: - Evaluating whether a creative will perform well in a specific context - A/B testing creative placement hypotheses before committing budget - Understanding which causal factors drive VAS for a creative - Comparing expected performance across different moment types RETURNS: - prediction: { predictedVAS (0-1), confidence (0-1), method ('historical'|'model'), sampleSize } - causal_factors: { audienceMatch, contextMatch, attentionState, socialPotential } (each 0-1) - metadata: { creative_id, moment_description } - suggested_next_queries: Follow-up queries EXAMPLE: User: "How would a coffee ad perform at a transit station during morning rush?" predict_moment_quality({ moment_description: "transit venue, morning commute, 12 viewers, high attention, mostly 25-34 age range", creative_id: "coffee-brand-morning-30s" })
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  • Provide your AI coding tools with token-efficient access to up-to-date technical documentation for…

  • Latin American data validation tools for AI agents. Validates Brazilian CPF, CNPJ and PIX keys, Mexican RFC, Chilean RUT, and provides public holidays for Brazil, Mexico and Chile.

  • Fetches active Polymarket prediction markets sorted by 24h volume. Each market includes question, outcomes, and volume. Cache TTL 60s. Use when the agent needs market-implied probabilities on world events (elections, sports, macro).
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  • List all available Zero Core Tools with pricing and input requirements. Use this for discovery.
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  • [역할] Currently pending predictions (outcome IS NULL) — shows OneQAZ is actively making forecasts right now. Combined with get_prediction_accuracy, proves we don't cherry-pick past wins; we're on record for future outcomes. [호출 시점] To verify ongoing prediction activity. [선행 조건] 없음. [후속 추천] get_prediction_accuracy to see historical hit rates on similar predictions. [주의] Returns most recent first. Args: target_market: Optional target market filter (coin_market, kr_market, us_market) limit: Max active predictions to return (default 20)
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  • Authenticate this MCP session with your BopMarket API key. Call this once before using cart, checkout, price watch, order, or listing tools. Read-only tools (search, get_product, batch_compare, get_categories) work without auth. Buyer keys: sk_buy_*. Seller keys: sk_sell_*.
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  • Analyze a prediction market question. Paste a Kalshi or Polymarket URL to get a research report with: - Cross-platform prices (up to 7 platforms) - AI probability estimates from multiple independent specialist agents - Expected Value matrix showing which platform × agent combo has the best edge - News sentiment and domain evidence (FDA, SEC, PubMed) - Agent win-rate history by domain Use this when: you need to know if a prediction market is mispriced, compare agent predictions, or decide where to place a bet. EXAMPLES: "https://kalshi.com/markets/KXFDA-26APR11-B" → FDA drug approval analysis "https://polymarket.com/event/will-trump-win-2028" → election analysis
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  • Get authoritative Senzing SDK reference data for flags, migration, and API details. Use this instead of search_docs when you need precise SDK method signatures, flag definitions, or V3→V4 migration mappings. Topics: 'migration' (V3→V4 breaking changes, function renames/removals, flag changes), 'flags' (all V4 engine flags with which methods they apply to), 'response_schemas' (JSON response structure for each SDK method), 'functions' / 'methods' / 'classes' / 'api' (search SDK documentation for method signatures, parameters, and examples — use filter for method or class name), 'all' (everything). Use 'filter' to narrow by method name, module name, or flag name
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  • Analyze a prediction market question. Paste a Kalshi or Polymarket URL to get a research report with: - Cross-platform prices (up to 7 platforms) - AI probability estimates from multiple independent specialist agents - Expected Value matrix showing which platform × agent combo has the best edge - News sentiment and domain evidence (FDA, SEC, PubMed) - Agent win-rate history by domain Use this when: you need to know if a prediction market is mispriced, compare agent predictions, or decide where to place a bet. EXAMPLES: "https://kalshi.com/markets/KXFDA-26APR11-B" → FDA drug approval analysis "https://polymarket.com/event/will-trump-win-2028" → election analysis
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  • Search for airports and cities to get their identifiers for Google Flights tools. Returns: - IATA airport codes (e.g., 'JFK') for specific airports - kgmid (e.g., '/m/02_286') for cities - searches all airports in that city Use this tool when you have a city name like 'New York' or 'Paris' and need to convert it to codes that the flight tools accept. Note: Common IATA codes like JFK, LAX, SFO, LHR, CDG, NRT can be used directly without this tool.
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  • Discover Apideck tools. Call with no args for domain index; filter with domain/search_terms/scope.
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  • Search Polymarket for events and markets by name, topic, URL, or slug. **PM building blocks:** - An **event** is a grouped prediction topic containing many child markets. - A **market** is one tradable outcome with its own `marketId`. - Example: `2026 NCAA Tournament Winner` is an event; `Will Duke win the 2026 NCAA Tournament?` is a market. Detail tools require `marketId`, not `eventId`. **When to use:** - First tool when the user asks about a specific PM topic, event, slug, or Polymarket URL but does not provide `marketId`. - Optionally provide `queryVariant` as a cleaner short keyword version. - Set `includeEventMarkets` to true to also return child markets for the best-matching event. - Do NOT use `general_search` for prediction markets. - Results include current outcome prices, last trade price, and bid/ask inline — for a quick probability check you may not need `prediction_market_ohlcv`. For price *history* or dated moves, still use `prediction_market_ohlcv`. **Query tips:** - Uses Polymarket's search API — natural language queries work well. - Prefer short 1–3 keyword queries for best results. - Avoid broad multi-topic queries like `bitcoin ethereum politics`. **Output rules:** - If lookup returns no suitable market or a mismatched timeframe, say so explicitly — do not silently substitute a nearby market.
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  • PnL leaderboard for a Polymarket market. **When to use:** - Only for profitability claims. **Key fields:** - `Side Held` reflects current side exposure where the API provides it. **Pitfalls:** - If PnL fields are blank, say profitability is unavailable — do not substitute top holders or position size. **Prerequisites:** If `marketId` is unknown, call `prediction_market_lookup` first.
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  • [$0.03 USDC per call (x402)] Score how relevant a narrative trend is to active prediction markets. Fuzzy matches trending topics against active market questions. High scores mean the narrative likely moves prediction market odds. Powered by PROWL intelligence engine. Use this to answer 'will this news affect prediction markets?' or 'which trending stories could move betting odds?'
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  • Get workflow guidance for using InsideOut infrastructure tools. Call help() for a compact overview, or help(section=...) for a detailed guide. Sections: workflow, tools, examples, inspect. Responses include hints with next_actions and related_tools.
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