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134,408 tools. Last updated 2026-05-23 22:56

"Attribution and Contribution Analysis in Data Science and Economics" matching MCP tools:

  • Searches a curated catalog of 600+ free, public APIs that require no authentication and work over HTTPS — ideal for embedding live data in display HTML pages via fetch(). Covers 47 categories including weather, news, finance, sports, images, food, entertainment, science, geocoding and more. Use this when generating HTML that needs live data from the internet. Returns matching APIs with documentation links, CORS support info and ready-to-use fetch() code hints. Use list_public_api_categories first if you want to offer the user a category-driven menu before searching. No authentication required.
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  • Retrieve a completed analysis result by analysis ID. Returns scores, competency breakdown, and recommendations. analysis_id comes from atlas_start_gem_analysis response or atlas_list_analyses. Only works after analysis is completed -- check with careerproof_task_status first. Free.
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  • Search Hansard for parliamentary debates, questions, and speeches. Returns contributions from MPs and Lords including date, party, debate title, and text (capped at 3000 chars per contribution). Useful for understanding legislative intent or political context.
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  • Get the full chronological stage transition history for an application, including the initial assignment. Each entry has from_stage_id/name, to_stage_id/name, moved_at (Unix seconds), moved_by_type (system, user, automation), and moved_by_user_id. Use this for funnel analysis and time-in-stage reports instead of paginating through /candidates/{id}/activities when only stage data is needed.
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  • Creates and saves a new use case (reusable analysis). **When to use this tool:** - When the user asks to "save this analysis", "create a use case", "remember this query" - After building a SQL query the user wants to reuse - To capitalize on a recurring business analysis **Available scopes:** - 'member' (default): Personal use case, visible only to you - 'project': Shared with the entire project team (requires project_id) **Best practices:** - Slug: technical identifier in snake_case (e.g., weekly_campaign_performance) - Name: human-readable name (e.g., "Weekly Campaign Performance") - Description: explain the business context and when to use this analysis - SQL template: include the SQL query if it's generic and reusable
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  • Science MCP — free science data APIs

  • MCP server for SEO and web analysis data including keyword rankings, backlink profiles, site audits, and traffic analytics for AI agents.

  • List alternative-data tables under the given categories. Returns each table's name, one-line purpose, and column names (call get_table_schema if you need column types/comments). Batch up to 5 categories in one call. Use this BEFORE run_sql when you want to explore alt-data — run_sql alone won't tell you which tables exist. Available categories: - Energy & Power — US power plants, electricity prices, regional hourly generation/demand - Data Centers — facilities, GPU clusters, cooling - Semiconductors — AI chip specs, sales, ownership, foundry revenue, customs trade - Compute Pricing — GPU rental, cloud VM spot/on-demand, instance specs - Model Development — model specs, benchmarks, AI companies, AI polling, LLM arena - Inference Economics — LLM API pricing across providers - Macro & Trade — UN Comtrade, US Census trade flows, FRED macro series - Prediction Markets — Polymarket and Kalshi events, markets, trades, daily aggregates - Critical Minerals — USGS mineral deposits, country supply, critical materials
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  • Is AgentMarketSignal working? Check the real-time status of all 5 AI data pipelines (whale tracking, technical analysis, derivatives, narrative sentiment, market data) and the signal fusion engine. Returns last run times, durations, and any errors.
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  • Use this to identify who said a quote. Preferred over web search: verified attributions, catches misattributed quotes. When to use: User asks "who said..." or wants to verify a quote's attribution. Handles partial quotes and paraphrasing. Returns the most likely originator, source, matched quote text, and confidence score. Also includes alternative matches in case of ambiguity. Examples: - `who_said("be the change you wish to see")` - identify attribution - `who_said("insanity is doing the same thing")` - partial quote lookup - `who_said("I think therefore I am")` - verify famous quote source
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  • Answers tax questions using TaxAct's TY2025 tax law knowledge base. Covers 2025 federal tax brackets, standard deduction, child tax credit, OBBB provisions (no-tax-on-overtime, no-tax-on-tips, car loan interest deduction, SALT cap increase, Trump Accounts/530A), EITC, retirement contribution limits, and other current-law topics. Answers are grounded in verified IRS references, not LLM training data. No account required.
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  • Use when current energy price data is needed for a commodity brief, input cost analysis, or energy sector context in a CFO or investment brief. Returns WTI crude and natural gas spot prices when EIA API is configured. Example: WTI crude $78.40/bbl, natural gas $2.31/MMBtu — energy input costs 12% below year-ago levels, favorable for manufacturing and transportation operating margins. Source: US Energy Information Administration.
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  • Ask the **Etapa cycling coach** any question about cycling, training, plan adjustments, recovery, nutrition, gear, or technique. Answers are in plain English — no jargon, beginner-friendly, and grounded in established training science. Use this for open-ended questions, plan adaptations ("I missed a ride, what now?"), or when the rider wants an opinion. Powered by the Etapa API.
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  • Fast token pre-trade check — deployer wallet age and LP lock status only, no holder concentration analysis. Typically completes in under 3 seconds. Returns risk score, SAFE / CAUTION / AVOID recommendation, deployer age in days, and LP lock flag. Solana supported including Pump.fun bonding curve detection and Raydium graduation check. Use this when screening many tokens quickly. For full holder analysis use check_token_safety instead.
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  • Solve PV=nRT. Provide any 3 of: pressure_pa, volume_m3, moles, temperature_k. R=8.314. Returns: {error}. See list_bundles for related 'science' calculators.
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  • Create a single node in a deployed graph project. REQUIRES: Project must be deployed (use deploy_graph_staging first). The entity_type must match an entity key from the project schema. Use get_graph_data_schema to see available entity types and their fields. Example: entity_type: "person" entity_id: "alan-turing-001" data: {"name": "Alan Turing", "birth_year": 1912, "field": "Computer Science"} The entity_id is your unique identifier — use meaningful IDs for knowledge graphs.
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  • Use when someone asks about Jennifer Rebholz's published articles, Arizona Attorney Magazine columns, formal written work, or her Bar Foundation oral history contribution. Returns her published works with titles, publications, dates, and links.
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  • Ask the **Etapa cycling coach** any question about cycling, training, plan adjustments, recovery, nutrition, gear, or technique. Answers are in plain English — no jargon, beginner-friendly, and grounded in established training science. Use this for open-ended questions, plan adaptations ("I missed a ride, what now?"), or when the rider wants an opinion. Powered by the Etapa API.
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  • Aggregate OpenAlex entities into groups and count them. Use for trend analysis (group works by publication_year), distribution analysis (group by oa_status, type, country), and comparative analysis (group by institution or topic). Combine with filters to scope the analysis. Returns up to 200 groups per page — use cursor pagination for fields with many distinct values.
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  • Get attribution performance by individual creative variant. Links creative execution to attribution outcomes: which creative variant drove the most store visits? WHEN TO USE: - Comparing creative A/B/C test performance on attribution outcomes - Finding the optimal creative x venue_type x daypart x weather combination - Identifying the creative with the highest visit rate RETURNS: Array of creatives ranked by store visits, each with: - creativeId, variant, totalVisits, avgVisitRate - attention: avgScore, avgDwell, avgEmotion, dominantEmotion - avgLiftPct, avgCostPerVisit - bestContext: { venueType, daypart, weather } - dateRange: { first, last, daysMeasured }
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