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694,303 tools. Updated 2026-10-23 22:24

"Historical Data for SOXL" matching MCP tools:

  • Get historical daily AI analyst summaries — query by date or by analyst+days (max 90 days; use analyst_daily_summary for today's data) — Returns a paginated history of daily AI analyst summaries. Query by specific date (?date=YYYY-MM-DD) to see all analyst summaries for one day, or by analystId (?analystId=chain_hawk&days=30) to get the last N days for one analyst. Maximum 90 days. Only shortSummary is returned (full commentary is Pro-only). Fields per record: analystId, analystName, summaryDate (YYYY-MM-DD), shortSummary, summaryAr, summaryHi, summaryZh, summaryRu, signalCount, confluenceScore, fearGreedScore, btcTrend. No auth required. 60 req/min. — Use this for daily historical data; use the corresponding live snapshot tool for current conditions and the monthly tool for long-term trends.
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  • Use this when the user wants weather history, historical weather data, historical weather by date and location, or a daily weather data download. Reads station observations and generates Excel and CSV weather logs with rain days for construction delay and thresholds. US only; up to five sites and 366 days, from 1900 through today UTC. Files expire in about an hour. Do not use for forecasts, current conditions or certified weather reports.
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  • Run a sandbox backtest of strategy code without persisting anything. This is the fastest way to test a strategy. The code is run through static checks and a full backtest on historical data, but no Strategy or StrategyVersion rows are created. Use this for rapid iteration. Args: code: Python source code implementing the Strategy contract. Must define a METADATA dict and a class extending Strategy with an on_bar(ctx) -> Signal method. See CREATOR_API.md. domain: Trading domain (e.g. "eth_usdc", "btc_usdc", "sol_usdc"). symbol: Price symbol for historical data (e.g. "ETHUSDT"). user_id: Identifier for trial tracking (used for DSR correction). Returns JSON with: success, metrics (sharpe, sortino, win_rate, total_trades, return_bps, max_drawdown, regime_breakdown, exit_reason_breakdown), or error details if validation failed.
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  • [$0.10 USDC/call · Solana USDC · x402] Entry point for every agent flow. Given a business location and type, returns a weather risk score (0-1), the top perils ranked by severity, historical frequency data, and an overall risk level (low/moderate/high/severe). Powered by 20 years of Open-Meteo historical data — returns real data, not sandbox. Always call this first before requesting a quote.
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  • Get HISTORICAL price data / trends for one model. This is InferenceIndexer's differentiator: aggregators like OpenRouter expose only current price; this returns the price over time (input, output, blended $/M), enabling trend analysis. Args: model_id: Canonical model id, e.g. 'openai/gpt-5.6'. days: History window in days (1-365, default 30; plan-dependent). Returns: historical price series for the model.
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  • Fetch Google Finance historical price and volume points when the instrument is supplied as separate first/second legs, such as AAPL + NASDAQ or BTC + USD with is_crypto=true. Returns window and series (time, price, volume); the default window is 1d and absent chart data returns not found. Prefer google_finance_chart for a combined quote identifier, instrument metadata, and available previous-close data; use google_finance_quote for a current overview.
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Matching MCP Servers

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    Give your AI agent the entire China A-share market: 55 datasets of prices, financials, capital flows, corporate events and futures/options, stored locally and queryable with read-only SQL. Built point-in-time with delisted stocks kept, so backtests don't lie — no account, no API key.
    12
    6
    1,105 PyPI
    782
    Apache 2.0

Matching MCP Connectors

  • Fetch Google Finance historical price and volume points when the instrument is supplied as separate first/second legs, such as AAPL + NASDAQ or BTC + USD with is_crypto=true. Returns window and series (time, price, volume); the default window is 1d and absent chart data returns not found. Prefer google_finance_chart for a combined quote identifier, instrument metadata, and available previous-close data; use google_finance_quote for a current overview.
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  • Use when you need a domain lookup, whois, dns records or certificate transparency data for osint, security or due diligence. Do not use for historical whois, registrant personal data (redacted by registries) or port and vulnerability scans. Returns JSON with domain intelligence: WHOIS/RDAP registration, DNS records (A, AAAA, MX, NS, TXT, CAA), SPF and DMARC, and TLS certificates from certificate transparency logs for 0.02 USDC per call. Typical response time 4000 ms (p95). Category: Data.
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  • Returns historical daily closing prices for any supported cryptocurrency over 30, 90, or 365 days. Use for trend analysis, drawdown calculation, or training data. Source: CoinGecko. Priced at $0.15 USDC via x402.
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  • Prepare unsigned ACCEPT typed data for the historical 0 ETH Sepolia public allocation. Sepolia only; never signs or submits.
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  • Retrieve a historical time series of official Norges Bank exchange rates for any of the 41 available currencies versus NOK. Specify a start/end date (ISO 8601, e.g. 2024-01-01) to get a custom range of business-day spot rates. Returns an array of {date, rate} pairs sorted ascending by date. Useful for charting NOK strength, backtesting currency strategies, or computing historical hedging costs. Data: Norges Bank SDMX EXR dataflow, no auth.
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  • Retrieve full-year historical power status data for US nuclear reactors from NRC annual archives. Data is available from 1999 through the current year. Optionally filter by reactor unit name to retrieve a single reactor's complete year record. Each record contains the date, unit name, and power percentage (0–100%). Supports capacity factor analysis, long-term outage pattern research, nuclear energy generation modeling, and historical grid impact studies. Returns up to 1000 rows per call (full annual files contain 17K–35K rows). No auth — US NRC public domain data (Atomic Energy Act), unlimited free.
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  • Get historical weekly COVID-19 testing volume and positivity rate by country from ECDC TESSy surveillance data. Filter by country name or ISO2 code, optionally by ISO week. Covers 2020-W01 through 2023-W47 only — ECDC discontinued routine COVID-19 reporting in December 2023, so this reflects the final frozen historical dataset, not live surveillance. Data: ECDC opendata, CC BY 4.0, no auth required.
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  • Get historical daily hospital/ICU occupancy and weekly new admission rates per 100k for COVID-19 by country from ECDC surveillance data. Filter by country name, optionally by one of four indicators (daily hospital occupancy, daily ICU occupancy, weekly hospital admissions per 100k, weekly ICU admissions per 100k). Covers 2020-W01 through 2023-W47 only — ECDC discontinued routine COVID-19 reporting in December 2023, so this reflects the final frozen historical dataset, not live surveillance. Data: ECDC opendata, CC BY 4.0, no auth required.
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  • Get the full daily historical COVID-19 time series for one location, optionally windowed by start_date/end_date. Returns a curated subset of core fields per day: cases, deaths, hospitalizations, and vaccination totals (both new and cumulative), plus population. Does NOT return the raw upstream dataset which includes 700+ demographic/policy/search-trend columns. Use global-health-covid.location_search first to find a valid location_key. Data: Google "COVID-19 Open Data" (storage.googleapis.com/covid19-open-data), no auth required. HISTORICAL DATA ONLY — coverage ends ~2022-09, frozen dataset.
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  • Get current gas/fee data. EVM: base fee, priority fee, predictions. Solana: priority fees, TPS, congestion level. Scope: current fee snapshot for a transaction decision. Use this for 'what are fees now?'. It is not a historical series (gas.history), a short-horizon forecast (gas.predict), or timing advice (gas.optimize).
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  • Fetch Kalshi's standard exchange trading hours and maintenance windows. Use kalshi_exchange_status for the current open/closed state or kalshi_historical_cutoff for historical market-data limits.
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  • Fetch official current concurrent-player count data for one Steam app by numeric `appid`. Use steam_charts_concurrent for the live all-game leaderboard or steam_steamspy for historical SteamSpy stats.
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  • Fetch Kalshi's standard exchange trading hours and maintenance windows. Use kalshi_exchange_status for the current open/closed state or kalshi_historical_cutoff for historical market-data limits.
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  • Fetch official current concurrent-player count data for one Steam app by numeric `appid`. Use steam_charts_concurrent for the live all-game leaderboard or steam_steamspy for historical SteamSpy stats.
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