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305,560 tools. Last updated 2026-07-23 07:10

"Historical Cryptocurrency Data and Sector Trend Analysis" matching MCP tools:

  • 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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  • Get historical price data for a cryptocurrency with trend analysis including period high/low, price change percentage, and volatility metrics over a customizable timeframe.
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  • Get historical price data for crypto tokens over a specified time window (1–365 days). Returns period statistics (start, end, % change, high, low) plus a downsampled daily price series. Use for period comparisons (month-over-month, YTD), trend analysis, and price charts. Prefer over web_search for any time-comparative financial query. Pass stats_only=true when the daily series is unnecessary. price_change_pct is pre-computed and should not be re-derived with calculate.
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  • List analysts at a given firm (case-insensitive substring match). Each row: {name, firm, rank, avg_return_1y_pct, covered_tickers_sample, total_covered}. Results are deduped by analyst name (keeping the best rank) and sorted by rank ascending. When `sector` is provided, the per-analyst coverage list is filtered to tickers in that sector and the row shape becomes {name, firm, rank, avg_return_1y_pct, sector, covered_tickers}. Args: firm: Firm name or fragment (e.g. 'Goldman' matches 'Goldman Sachs'). sector: Optional lowercase sector (e.g. 'technology', 'healthcare').
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  • All 11 market sectors in one call — signals, breadth, and momentum for rotation analysis. Where get_sector_intelligence gives deep analysis for one sector, this gives the rotation picture across all sectors simultaneously. Use for: identifying sector rotation, finding leading vs lagging sectors, spotting breadth divergences, allocating capital across sectors. Returns per sector (sorted by signal strength, LEADING first): - signal: LEADING | STRONG | NEUTRAL | WEAK | LAGGING - confidence: 0-10 - alert: notable condition (narrow breadth, extreme RSI, etc.) - avg_rsi: sector-average RSI - sma200_breadth_pct: % of stocks in sector above their 200-day MA - oversold_pct / overbought_pct: RSI distribution extremes - perf_1w_pct / perf_1m_pct: average sector performance - updated_at: when this sector was last assessed by the AI pipeline - history_count: include last N prior signal states per sector (0-3, default 0) Pro tier only — AI-enriched sector signals. For informational purposes only. Not financial advice.
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  • Retrieves the current trading price for a publicly listed stock by ticker symbol. Returns the current price as a single numeric value. This is a lightweight variant of stock_quote — it omits intraday high/low, percentage change, previous close, company name, sector, and exchange metadata. Use stock_price_lite when only the raw current price is needed for a quick lookup or calculation. Prefer stock_quote when the agent also needs price change, intraday range, company information, or a fully structured response suitable for portfolio reporting. Does not support cryptocurrency prices — use crypto_price for full market data (price, volume, market cap) or crypto_price_lite for a lightweight spot price lookup.
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Matching MCP Servers

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    MCP server for trend-pulse, an agentic trend intelligence platform that fetches and analyzes trending topics from 37 sources, provides search, historical data, and lifecycle prediction via 29 tools.
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    MIT

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  • Hosted MCP server for live sports data — scores, analytics, schedules, standings, multi-book odds, team form, head-to-head, model predictions, and pre-generated matchup analysis across 1,000+ leagues in 150+ countries. Free tier, no card.

  • Rick and Morty MCP — wraps the Rick and Morty API (free, no auth)

  • The sector index — valid `sector` slugs (with name, inherent risk and description) for get_ai_obligations, get_ai_penalties and assess_ai_compliance. Data by AI Law Tracker (CC BY 4.0). Informational only — not legal advice.
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  • Retrieves real-time price data for any cryptocurrency listed on CoinGecko. Returns the current price in any fiat currency, 24-hour percentage change, market capitalisation, and 24-hour trading volume. Supports all major cryptocurrencies including Bitcoin (BTC), Ethereum (ETH), Solana (SOL), XRP, Cardano (ADA), Dogecoin (DOGE), Polygon (MATIC), Chainlink (LINK), Avalanche (AVAX), and 10,000+ additional coins. Use crypto_price when an agent needs the full market picture for a digital asset — price, change, market cap, and volume in one call. Prefer crypto_price_lite when only the spot price and 24h change are needed and a smaller response payload is preferred. Use crypto_fx_rates (via CoinAPI) when converting a specific amount between a cryptocurrency and fiat, or between two cryptocurrencies. Do not use this tool for fiat-to-fiat currency conversion (e.g. USD to EUR) — use currency_convert instead. Do not use when historical price data for a specific past date is required — this tool returns live spot prices only.
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  • Retrieves the current trading price for a publicly listed stock by ticker symbol. Returns the current price as a single numeric value. This is a lightweight variant of stock_quote — it omits intraday high/low, percentage change, previous close, company name, sector, and exchange metadata. Use stock_price_lite when only the raw current price is needed for a quick lookup or calculation. Prefer stock_quote when the agent also needs price change, intraday range, company information, or a fully structured response suitable for portfolio reporting. Does not support cryptocurrency prices — use crypto_price for full market data (price, volume, market cap) or crypto_price_lite for a lightweight spot price lookup.
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  • Use when benchmarking workforce planning against sector labor market conditions, assessing industry growth trajectory for strategic planning, providing economic context for board reporting, or evaluating talent acquisition timing for a specific industry. Returns BLS payroll employment by major sector with month-over-month change, year-over-year change, and trend classification from the official establishment survey covering 650,000 US worksites — the same data the Federal Reserve uses to assess labor market conditions. Example: Healthcare sector — 8.41M employed, +47K MoM, +3.2% YoY, EXPANDING for 14 consecutive months — persistent hiring demand supports above-market compensation benchmarks. Source: Bureau of Labor Statistics Current Employment Statistics.
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  • Retrieves real-time stock price quotes and company information for any publicly traded company via the Finnhub API. Returns current price, intraday high and low, percentage change from previous close, previous close price, sector, and exchange. Use stock_quote when an agent needs to look up a stock price, check intraday market performance, retrieve company sector data, monitor equity portfolio values, or answer any question about the current trading price of a publicly listed company. Prefer stock_quote over stock_price_lite when the agent needs price change, intraday range, company name, or sector — stock_price_lite returns only the raw current price with no additional context. Do not use for cryptocurrency prices — use crypto_price (CoinGecko, 10,000+ assets) or crypto_price_lite for a lightweight variant. Do not use for fiat currency conversion — use currency_convert or currency_fx_lite. Requires a Finnhub API key to be configured on the server.
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  • AI-assessed sector intelligence: signal, cycle stage, rotation signal, drivers, alerts, and computed statistics per sector (RSI distribution, breadth, performance 1W/1M, top/bottom movers, historical percentiles). Pass a sector name for a single sector, or omit the parameter (or pass None) to get the latest assessment for all 11 sectors. Refreshed every ~4 hours by the market intelligence pipeline. Available to pro tier only (AI pipeline costs). For informational purposes only. Not financial advice.
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  • All 11 market sectors in one call — signals, breadth, and momentum for rotation analysis. Where get_sector_intelligence gives deep analysis for one sector, this gives the rotation picture across all sectors simultaneously. Use for: identifying sector rotation, finding leading vs lagging sectors, spotting breadth divergences, allocating capital across sectors. Returns per sector (sorted by signal strength, LEADING first): - signal: LEADING | STRONG | NEUTRAL | WEAK | LAGGING - confidence: 0-10 - alert: notable condition (narrow breadth, extreme RSI, etc.) - avg_rsi: sector-average RSI - sma200_breadth_pct: % of stocks in sector above their 200-day MA - oversold_pct / overbought_pct: RSI distribution extremes - perf_1w_pct / perf_1m_pct: average sector performance - updated_at: when this sector was last assessed by the AI pipeline - history_count: include last N prior signal states per sector (0-3, default 0) Pro tier only — AI-enriched sector signals. For informational purposes only. Not financial advice.
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  • World Bank open data — 1600+ development indicators for 200+ countries. Returns most-recent values and 5-year trend for any indicator by country. Covers GDP, population, inflation, unemployment, FDI, debt, exports, CO₂, life expectancy, Gini, internet penetration, ease of doing business, and more. Accepts ticker-style aliases (gdp, inflation, unemployment) or full WB indicator codes. Sourced from api.worldbank.org — free, no key required. Use for country risk, macro comparisons, policy analysis, and development economics.
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  • Track recent startup funding announcements filtered by stage and sector. Wraps `nexgendata/startup-funding-tracker`. Returns recent rounds (Crunchbase News + TechCrunch + sector press) including company, amount, round type, investors, and date. Args: stage: Optional stage filter ("seed", "series a", "series b", ...). sector: Optional sector / industry filter ("ai", "fintech", ...). days_back: Look-back window in days (default 30, max ~180).
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  • For a single politician, list trades that occurred within a window of days before or after the signing of an executive order affecting the traded sector. Each row contains the trade, the nearestEvent, daysDelta (negative = traded N days before EO signing, positive = traded N days after), matchBasis, and matchCount, plus a summary (totalFlags, totalEstimatedUsd, topSector). Defaults to trades 1-14 days BEFORE signing; same-day trades are always excluded (intraday ordering is unknowable). Unlike get_donor_trade_overlap, executive-branch (exec-) slugs return REAL data here: both congressional and executive trade sources feed the overlap computation. IMPORTANT: matches are sector-level co-occurrence — the official traded a stock in a sector the executive order affects, within a window of its signing date. Sector matches are broad and many trades will coincide with policy activity by chance; a match is a starting point for research, not evidence of foreknowledge. The matchBasis field describes match strength only ('sector' = broad sector match), never culpability, and matchCount shows how many EOs matched in the window (a noise indicator).
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  • Discover what data is available before querying: date ranges, contract counts, symbol counts and sector coverage for the unusual-activity dataset and its daily aggregates. Call this first when unsure about available history.
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  • Is BTC bullish or bearish right now? Get a 0-100 buy/sell score for any cryptocurrency. Returns composite score, direction (bullish/bearish/neutral), signal label (STRONG BUY to STRONG SELL), and momentum. Supports: BTC, ETH, SOL, BNB, XRP, ADA, AVAX, DOT, MATIC, LINK, UNI, ATOM, LTC, FIL, NEAR, APT, ARB, OP, INJ, SUI. For the full 6-dimension breakdown with whale, technical, and derivatives analysis, use the paid REST API.
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  • List Amazon CPG categories with current product counts and trend direction. Use as the first call in any pricing-analysis workflow — returns the exact category names expected by other tools, plus product count and trend for each. Lightweight; safe to call before any category-specific query. Returns: categories (list of {name, product_count, trend_direction, last_refreshed}), note (summary of coverage), cta. Covers Grocery & Gourmet Food, Health & Beauty, Household, and Pet Supplies.
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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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