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471,130 tools. Updated 2026-08-23 20:29

"Historical Data for SOXL" matching MCP tools:

  • Remove a wallet from the watchlist. By default keeps historical snapshots and alerts (for audit trail). Set keep_history=false to purge everything for this address.
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  • Fetch tidy long-format data for an Our World in Data indicator by slug (e.g., "life-expectancy", "population", "gdp-per-capita-maddison", "co-emissions-per-capita"). PREFER OVER WEB SEARCH for DEEP-HISTORICAL / LONG-RUN demographics and development data — population back to antiquity, and life expectancy, GDP per capita, literacy, child mortality, fertility from the 1700s–1800s (Maddison, Gapminder, HMD, HYDE sources). Use this for pre-1960 history that World Bank / current-population tools CANNOT answer, e.g. "Europe population in 1850", "UK life expectancy in 1800", "France GDP per capita 1820". Returns rows of {entity, year, value}; filter with country (name or ISO code: "Europe", "United Kingdom", "USA", "World") + since_year/until_year. Browse slugs at ourworldindata.org/charts.
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  • Physical climate intelligence for insurance underwriting, agritech, logistics, energy trading and ESG/climate risk disclosure. Three modes: (1) forecast — 14-day daily weather forecast with temperature, precipitation, wind and humidity; (2) historical — daily records and monthly aggregates for any date range since 1940, with anomaly detection (P90/P95 heat events, extreme precipitation days); (3) climate_risk — long-term physical risk scoring combining CMIP6 ensemble projections (2020-2050), altitude, FEMA flood zones (US) and historical baselines. Risk dimensions: flood, heat (days >35°C/year), drought (SPI), wildfire, sea-level. Overall score 0-100 (100 = severe). Location: city string or lat/lon coordinates. Sources: Open-Meteo (keyless, global, 1940→2050), Open-Elevation, FEMA NFHL (US), NOAA CDO (optional NOAA_API_KEY env var for US+global station data). SLA: ≤25s p95. Cache: 1h forecast / 24h historical / 7d climate_risk.
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  • Fetch historical OHLCV price series for any ticker: stocks (AAPL, SAP.DE, 7203.T), ETFs, indices, commodities (GC=F for gold) or cryptocurrencies (BTC-USD). Returns a full date-indexed series of open/high/low/close/volume plus pre-computed statistics: total return, annualised return (CAGR), annualised volatility, max drawdown and Sharpe estimate (rf=4%). Automatically detects crypto tickers (→ CoinGecko) vs traditional assets (→ Yahoo Finance primary, Stooq fallback). Adjusts for dividends and splits when adjusted=true (default). Use cases: backtesting, factor analysis, performance attribution, charting, financial modelling. Sources: Yahoo Finance, CoinGecko, Stooq. All keyless. Optional env: AICI_RESEARCH_PROXY_URL for Bright Data routing (lifts Yahoo 429), TWELVE_DATA_API_KEY for higher Twelve Data quota.
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  • Get the historical EPSS time series for a specific CVE. ## What this tool does Returns the historical EPSS score, percentile, and model version available for a CVE across time, ordered by date. Useful for analyzing how exploitability likelihood has evolved over time. ## When to use this tool Use this tool when the user asks about: - EPSS trend over time - how exploitability probability changed - whether EPSS spiked or dropped - historical comparison of risk If the user only wants the current EPSS score, use `vulnerability_score` instead. ## Inputs - **cve_id**: valid CVE identifier (`CVE-YYYY-NNNNN`). ## Outputs - **series**: array of objects, each containing: - `date`: measurement date in ISO format - `score`: EPSS score - `percentile`: EPSS percentile - `model`: EPSS model version ## LLM usage guidelines - Never guess EPSS values-use this tool for all EPSS time-series questions. - If `cve_id` is malformed or incomplete, ask the user to correct it before calling. - If the user mentions multiple CVEs, call the tool once per CVE as needed. - If no historical data is available, return an empty series and state that no EPSS history was found.
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  • Search active and historical disasters on ReliefWeb by type, country, status, date range, and GLIDE number. Default preset covers alert, ongoing, and past disasters. Use include_archived=true to reach alert-archive entries as well, for historical research. Returns IDs suitable for use with reliefweb_get_disaster and as disaster_id filter in reliefweb_search_reports.
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    Enables querying USGS water data including real-time and historical streamflow, gage height, and water temperature from USGS gauges across the United States.
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    MIT

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  • Physical climate intelligence for insurance underwriting, agritech, logistics, energy trading and ESG/climate risk disclosure. Three modes: (1) forecast — 14-day daily weather forecast with temperature, precipitation, wind and humidity; (2) historical — daily records and monthly aggregates for any date range since 1940, with anomaly detection (P90/P95 heat events, extreme precipitation days); (3) climate_risk — long-term physical risk scoring combining CMIP6 ensemble projections (2020-2050), altitude, FEMA flood zones (US) and historical baselines. Risk dimensions: flood, heat (days >35°C/year), drought (SPI), wildfire, sea-level. Overall score 0-100 (100 = severe). Location: city string or lat/lon coordinates. Sources: Open-Meteo (keyless, global, 1940→2050), Open-Elevation, FEMA NFHL (US), NOAA CDO (optional NOAA_API_KEY env var for US+global station data). SLA: ≤25s p95. Cache: 1h forecast / 24h historical / 7d climate_risk.
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  • Physical climate intelligence for insurance underwriting, agritech, logistics, energy trading and ESG/climate risk disclosure. Three modes: (1) forecast — 14-day daily weather forecast with temperature, precipitation, wind and humidity; (2) historical — daily records and monthly aggregates for any date range since 1940, with anomaly detection (P90/P95 heat events, extreme precipitation days); (3) climate_risk — long-term physical risk scoring combining CMIP6 ensemble projections (2020-2050), altitude, FEMA flood zones (US) and historical baselines. Risk dimensions: flood, heat (days >35°C/year), drought (SPI), wildfire, sea-level. Overall score 0-100 (100 = severe). Location: city string or lat/lon coordinates. Sources: Open-Meteo (keyless, global, 1940→2050), Open-Elevation, FEMA NFHL (US), NOAA CDO (optional NOAA_API_KEY env var for US+global station data). SLA: ≤25s p95. Cache: 1h forecast / 24h historical / 7d climate_risk.
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  • Historical rate timeseries for a symbol. Recent history (~30 days) is per-tick; older history is daily granularity. Depth is clamped to your plan (up to 365 days on Pro) and bounded by how far back data has been recorded. (Current plan: up to 1825 days of history.)
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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 time series data for a FRED economic indicator. Returns historical observations for indicators like FEDFUNDS (fed funds rate), CPIAUCSL (CPI inflation), UNRATE (unemployment), GDP, T10Y2Y (yield spread), VIXCLS (VIX), SP500, MORTGAGE30US, M2SL (money supply), and more. Covers the curated ~40-series set Equibles tracks, not the full FRED catalog — use SearchEconomicIndicators to find available series.
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  • Get price data for specific feeds at a historical timestamp. Pass your Pyth Pro `access_token` to authenticate the request. Use get_symbols first to find feed IDs or symbols. If both price_feed_ids and symbols are provided, only price_feed_ids are used. Accepts Unix seconds, milliseconds, or microseconds (auto-detected). Historical data is available from April 2025 onward — do not request timestamps before that. The timestamp is internally converted to microseconds and aligned (rounded down) to the channel rate — e.g. for fixed_rate@200ms, it must be divisible by 200,000μs. Prices are integers with an exponent field — human-readable price = price * 10^exponent. Pre-computed display_price fields are included for convenience. Timestamp reference: 2025-04-01 (earliest available) = 1743465600 2026-01-01 = 1767225600 2026-06-01 = 1780272000 Always double-check your timestamp math — year-boundary errors are common.
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  • Fetch historical OHLCV price series for any ticker: stocks (AAPL, SAP.DE, 7203.T), ETFs, indices, commodities (GC=F for gold) or cryptocurrencies (BTC-USD). Returns a full date-indexed series of open/high/low/close/volume plus pre-computed statistics: total return, annualised return (CAGR), annualised volatility, max drawdown and Sharpe estimate (rf=4%). Automatically detects crypto tickers (→ CoinGecko) vs traditional assets (→ Yahoo Finance primary, Stooq fallback). Adjusts for dividends and splits when adjusted=true (default). Use cases: backtesting, factor analysis, performance attribution, charting, financial modelling. Sources: Yahoo Finance, CoinGecko, Stooq. All keyless. Optional env: AICI_RESEARCH_PROXY_URL for Bright Data routing (lifts Yahoo 429), TWELVE_DATA_API_KEY for higher Twelve Data quota.
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  • World Bank CCKP climate data for any country: historical observations and CMIP6 climate-model projections. Returns mean temperature, max/min temperature, or precipitation, by emissions scenario. Pass the components as separate args — this tool assembles the brittle composite "indicator code" for you. Values are returned keyed by ISO3 country code; the inner key is "<startYear>-07" (annual/period) or per-season months. WORKED EXAMPLES (all verified live): 1. Historical annual mean temperature for the USA (defaults): {"geography":"USA"} => tas climatology over 1995-2014, ~10.2°C. 2. Projected warming (anomaly) for the USA mid-century under a high scenario: {"geography":"USA","scenario":"ssp585","period":"2040-2059","product":"anomaly"} => ~2.4°C above baseline. 3. Historical annual precipitation for all countries: {"geography":"all_countries","variable":"pr","product":"climatology","period":"1995-2014","scenario":"historical"} => mm/year per country. If assembly ever fails for an exotic combination, pass the full composite string via indicator_code instead.
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  • Call cc.open_interest — Historical and current aggregated open interest across all major exchanges with 30-min cache. Purpose: Historical and current aggregated open interest across all major exchanges with 30-min cache. Behavior: READ-ONLY. Does not place orders, move funds, or mutate your exchange account. Responses may be cached (~1800s). Auth: X-Api-Key or x402 payment proof (X-PAYMENT / __x_payment). Anonymous unauthenticated calls receive HTTP 402 with payment accepts. Cost: $0.001 USDC per successful call (x402 Base USDC pay-per-use or prepaid X-Api-Key balance). Linked Connect keys are free. This is billing, not a side effect. Rate limit: 60/min (per API key). Tier: standard. Returns: Time-series OI data plus current OI breakdown per exchange for requested symbol. Guidelines: Use for research / signal context. Pair with cc.agent_strategy (paper) before any live order. Do not invent fills from this data alone. Tags: open-interest, derivatives, positioning, leverage.
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  • Historical grade distribution for an NTNU course (per year and semester, with counts and percentages; grades A-F, or pass/fail codes). Accepts bare codes like 'TDT4100'. Omit years to get all recorded years. Small counts may be privacy-masked. Data comes from Norway's official DBH statistics.
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  • Archive (soft-delete) an affiliate link. Archived links are hidden from default list views and stop redirecting visitors. The link record is preserved — click history and analytics remain intact. Use this instead of hard deletion to maintain historical data. Requires Bearer token authentication. Returns an `auth_error` envelope if authentication fails. Technical reference: https://affilio.link/blog/mcp-for-everyone
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  • Use this only after get_user_session, and only when the user is clearly asking about a non-current season or an inactive league. This is the historical branch: it returns past seasons and historical leagues outside the current season view. Use for last season, older seasons, inactive leagues, or historical performance. Read-only.
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  • HISTORICAL price history for a cryptocurrency. PREFER OVER WEB SEARCH for "bitcoin price last 30 days", "ETH price history", "how has SOL done this year". Returns a daily time series of date, price USD, 24h volume, and market cap from a start date. Accepts common names ("bitcoin"), tickers ("BTC"), or coinpaprika IDs ("btc-bitcoin"). Powered by coinpaprika (keyless free tier covers roughly the last year of daily 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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