"A server for providing crypto market history data" matching MCP tools:

• golden_alerts_monthlyA

  whale-insightsA

  Golden Alerts permanent monthly archive — Returns the permanent monthly archive of Golden Alert activity — one row per calendar month, aggregated from daily snapshots before they are purged. This archive is never deleted and grows indefinitely, providing AI agents with long-term trend data on alert severity and top tokens across months and years. Each month includes: totalCount (total alerts that month), highCount/mediumCount/lowCount (severity breakdown), topTokens (5 most-active tokens), daysInMonth (days with data), avgPerDay (daily average). Months with fewer than 20 daily records are excluded to ensure statistical accuracy. Data source: CryptoWhaleInsights own signal_history database (49,000+ on-chain signals). No authentication required. 60 req/min. 5-min cache. — Use this for long-term monthly archive data; use the corresponding live or daily-history tool for current or finer-grained data.

  ConnectorNo auth

• fear_greed_monthlyA

  whale-insightsA

  Fear & Greed permanent monthly archive — Returns the permanent monthly archive of the Fear & Greed index — one row per calendar month, aggregated from daily snapshots before they are purged. Never deleted; grows indefinitely providing AI agents with macro sentiment context across months and years. Each month includes: avgScore (0–100 average), minScore, maxScore, dominantClassification (Extreme Fear / Fear / Neutral / Greed / Extreme Greed), fearDays (days with score<40), greedDays (score>60), neutralDays, daysInMonth. Months with fewer than 20 daily records are excluded. No authentication required. 60 req/min. 5-min cache. — Use this for long-term monthly archive data; use the corresponding live or daily-history tool for current or finer-grained data.

  ConnectorNo auth

• classify_market_segmentA

  MangroveAIB

  Classify one stretch of market: a date range, or a catalog window by file name. Explicit date ranges require daily (1d) candles; catalog windows retain their stored interval. Returns its direction band, volatility band, trend character and the three features behind them, using the same labels the sweep catalog carries. Use it for a period the person names, or to see what a window a sweep selected contains. For an asset's current conditions use get_market_regime instead. Volatility reads `unscored` when no fitted band covers the stretch's length; the bands come back with it. For an exact crypto market, supply quote_token and market_data_venue together. A date range covers crypto and the stocks, ETFs, commodities and bonds in Oracle's regime catalog: SPY, QQQ, DIA, IWM, AAPL, AMD, AMZN, COST, GOOGL, HD, JNJ, JPM, META, MSFT, NFLX, NVDA, PG, TSLA, UNH, WMT, XOM, GLD, SLV, USO, GOLD (gold futures), CRUDE (crude oil futures) and TLT. Without explicit source arguments, those tickers are read from their exchange-session daily series, even where a crypto token shares one (DIA and META are the ETF and the stock here); any other ticker is read as crypto, so a stock not named here cannot be read. Explicit market or provider arguments select the crypto history path. `venue` says which feed was read. A listed ticker needs at least 15 sessions with a close, about three weeks; anything shorter is refused as too little history. [Access: pay 0.02 USDC via x402 (PAYMENT-SIGNATURE header) OR authenticate with an API key. An x402-capable client will auto-pay; API-key clients pay nothing per call.]

  ConnectorNo auth

• get_market_sampleA

  Crypto PulseA

  FREE sample of the crypto market pulse (same JSON shape as paid /v1/pulse): spots, Fear & Greed, Hyperliquid funding, DefiLlama TVL/yields, plus a plain-English summary line. Data may be up to 15 minutes old. Use get_market_pulse for live paid data.

  ConnectorNo auth

• get_market_sampleA

  Crypto PulseA

  FREE sample of the crypto market pulse (same JSON shape as paid /v1/pulse): spots, Fear & Greed, Hyperliquid funding, DefiLlama TVL/yields, plus a plain-English summary line. Data may be up to 15 minutes old. Use get_market_pulse for live paid data.

  ConnectorNo auth

• get_crypto_fear_greed_indexA

  Tanod FinanceA

  utilpeek: Get the crypto Fear & Greed Index: market sentiment value, label and 7-day history. For local exchange premiums use get_local_crypto_premiums. Returns the crypto Fear & Greed Index (alternative.me): value 0-100, label and the last 7 daily values, with source and attribution in the reply. One value per day from an hourly cache; the attribution to alternative.me must stay next to the data. No cache, or older than 3 days, is a 503 (not charged). Informational only, not investment advice. Typically under 0.1 s (served from the cache). Price: USD 0.001. Free: 10 utilpeek calls per IP per UTC day. Docs: https://tanod.dev/learn/crypto-fear-greed-index-api.html

  ConnectorNo auth

• get_crypto_fear_greed_indexA

  TanodA

  utilpeek: Get the crypto Fear & Greed Index: market sentiment value, label and 7-day history. For local exchange premiums use get_local_crypto_premiums. Returns the crypto Fear & Greed Index (alternative.me): value 0-100, label and the last 7 daily values, with source and attribution in the reply. One value per day from an hourly cache; the attribution to alternative.me must stay next to the data. No cache, or older than 3 days, is a 503 (not charged). Informational only, not investment advice. Typically under 0.1 s (served from the cache). Price: USD 0.001. Free: 10 utilpeek calls per IP per UTC day. Docs: https://tanod.dev/learn/crypto-fear-greed-index-api.html

  ConnectorNo auth

• get_crypto_fear_greed_indexA

  Tanod MCP Server (Deprecated)A

  utilpeek: Get the crypto Fear & Greed Index: market sentiment value, label and 7-day history. For local exchange premiums use get_local_crypto_premiums. Returns the crypto Fear & Greed Index (alternative.me): value 0-100, label and the last 7 daily values, with source and attribution in the reply. One value per day from an hourly cache; the attribution to alternative.me must stay next to the data. No cache, or older than 3 days, is a 503 (not charged). Informational only, not investment advice. Typically under 0.1 s (served from the cache). Price: USD 0.001. Free: 10 utilpeek calls per IP per UTC day. Docs: https://tanod.dev/learn/crypto-fear-greed-index-api.html

  ConnectorNo auth

• property_reportA

  UK Property IntelligenceA

  Full data pull for a UK property in one call. Returns sale history, area comps, EPC rating, rental market listings, current sales market listings, rental yield calculation, and price range from area median. Requires a street address + postcode for subject property identification. Postcode-only (e.g. "NG1 2NS") returns area-level data without a subject property — use property_comps or property_yield for postcode-only queries.

  ConnectorNo auth

• blackwood_token_priceA

  Blackwood StateA

  Use when you need a crypto token price or market data for a Base token, quoted from on-chain liquidity. Do not use for tokens that only trade off Base or on other DEXs (Aerodrome is not read), price history or OHLC. Returns JSON with the USD price of a token on Base computed on-chain from its deepest Uniswap v3 pool against USDC or WETH, with pool, fee tier and depth for 0.002 USDC per call. Typical response time 1200 ms (p95). Category: Trading.

  ConnectorNo auth

• find_projectsA

  AlphaGrowthA

  Finds crypto projects whose name or symbol contains the query, largest TVL first, with slug, category, TVL and market cap. Includes blockchains' own projects (flagged `is_chain`: true; use chain_metrics for the chain, project_metrics for its coin). Use the slug with the other project tools. Free data from AlphaGrowth (alphagrowth.io).

  ConnectorNo auth

• get_fomc_rate_probabilityA

  Stratalize FinanceB

  Use when providing monetary policy narrative context for a macro brief, investment committee, or CFO rate planning session. Returns illustrative cut, hike, and hold probabilities for the next three FOMC meetings based on current FRED fed funds data. Scenario planning tool — not futures-implied market odds. Example: Hold probability 68% at next meeting, cut probability 31% — conditioned on fed funds at 5.33% and latest CPI print. Source: FRED St. Louis Fed. $0.02 USDC per call.

  ConnectorNo auth

• deltasignal_issuer_deep_reportA

  DeltaSignal ATLAS-7A

  Use this read-only composite workflow tool for a paid filing-backed issuer drilldown when a daily brief pressure or opportunity row needs causality, not just a headline score. It server-enforces a broad issuer evidence plan: readiness, company_fundamentals, covenant_stress, peer_ranking, alpha_signals, SPECTRA field-map, ATLAS history, ATLAS-7 calculation history, CompanyFacts history, point-in-time history, daily_changes, risk_distribution, and top_stressed rank context. Parameters: ticker is required and normalized to uppercase; source_date, source_date_from, source_date_to, as_of_date_from, as_of_date_to, and output_mode=compact are optional reproduction controls. Behavior: read-only and idempotent; it has no destructive side effects, performs bounded internal fan-out, preserves partial failures, and explicitly reports missing evidence instead of inventing filing, liquidity, covenant, crypto-exposure, market-structure, or scenario facts. Use it for GME-style paid reports that must explain why a CRITICAL stress row exists, what filing evidence supports it, what changed, what peer context says, what historical stress path is available, and which sections still require external or future data.

  ConnectorNo auth

• deltasignal_issuer_deep_reportA

  DeltaSignal ATLAS-7A

  Use this read-only composite workflow tool for a paid filing-backed issuer drilldown when a daily brief pressure or opportunity row needs causality, not just a headline score. It server-enforces a broad issuer evidence plan: readiness, company_fundamentals, covenant_stress, peer_ranking, alpha_signals, SPECTRA field-map, ATLAS history, ATLAS-7 calculation history, CompanyFacts history, point-in-time history, daily_changes, risk_distribution, and top_stressed rank context. Parameters: ticker is required and normalized to uppercase; source_date, source_date_from, source_date_to, as_of_date_from, as_of_date_to, and output_mode=compact are optional reproduction controls. Behavior: read-only and idempotent; it has no destructive side effects, performs bounded internal fan-out, preserves partial failures, and explicitly reports missing evidence instead of inventing filing, liquidity, covenant, crypto-exposure, market-structure, or scenario facts. Use it for GME-style paid reports that must explain why a CRITICAL stress row exists, what filing evidence supports it, what changed, what peer context says, what historical stress path is available, and which sections still require external or future data.

  ConnectorNo auth

• realmint_list_marketA

  RealmintA

  Market snapshots for indexed RWAs: spot price, 24h change, volume, market cap, venue count, and a short price history series. Combine with `realmint_get_score` to compare risk against liquidity. Args: ids: Optional comma-separated asset IDs to filter (e.g. "xaut,paxg"). Empty = all assets. Assets without fresh market data are omitted from the response.

  ConnectorNo auth

• narrative_historyA

  whale-insightsA

  Get daily narrative/sector history — top crypto market sectors ranked by market cap change %, strength, and token count over up to 90 days — Daily historical narrative strength per market sector (e.g. DeFi, Layer 2, AI, Meme Coins) from CoinGecko Categories. One row per day per sector: market cap change %, strength score (0-100), token count in sector, daily rank, and top tokens. Filter by ?sector= for a single sector trend. Useful for identifying which narratives are accelerating or fading. DB-backed, 5-min cache. Powered by narrative_daily table (365d retention, permanent monthly archive). — Use this for daily historical data; use the corresponding live snapshot tool for current conditions and the monthly tool for long-term trends.

  ConnectorNo auth

• getTickerByContractA

  CoinPaprikaA

  Get the current price and market data of a token by its contract address (for on-chain and DeFi tokens). Use when you have a contract address (0x...) rather than a name. For history use getHistoricalTickerByContract. Read-only; platformId is the chain (e.g. eth-ethereum) and contractAddress the token address. No API key required.

  ConnectorNo auth

• get_fomc_rate_probabilityA

  Stratalize GovernanceB

  Use when providing monetary policy narrative context for a macro brief, investment committee, or CFO rate planning session. Returns illustrative cut, hike, and hold probabilities for the next three FOMC meetings based on current FRED fed funds data. Scenario planning tool — not futures-implied market odds. Example: Hold probability 68% at next meeting, cut probability 31% — conditioned on fed funds at 5.33% and latest CPI print. Source: FRED St. Louis Fed. $0.02 USDC per call.

  ConnectorNo auth

• get_fomc_rate_probabilityA

  Stratalize HealthcareB

  Use when providing monetary policy narrative context for a macro brief, investment committee, or CFO rate planning session. Returns illustrative cut, hike, and hold probabilities for the next three FOMC meetings based on current FRED fed funds data. Scenario planning tool — not futures-implied market odds. Example: Hold probability 68% at next meeting, cut probability 31% — conditioned on fed funds at 5.33% and latest CPI print. Source: FRED St. Louis Fed. $0.02 USDC per call.

  ConnectorNo auth

• get_fomc_rate_probabilityA

  Stratalize Real EstateB

  Use when providing monetary policy narrative context for a macro brief, investment committee, or CFO rate planning session. Returns illustrative cut, hike, and hold probabilities for the next three FOMC meetings based on current FRED fed funds data. Scenario planning tool — not futures-implied market odds. Example: Hold probability 68% at next meeting, cut probability 31% — conditioned on fed funds at 5.33% and latest CPI print. Source: FRED St. Louis Fed. $0.02 USDC per call.

  ConnectorNo auth

• get_fomc_rate_probabilityA

  Stratalize Crypto & DeFiB

  Use when providing monetary policy narrative context for a macro brief, investment committee, or CFO rate planning session. Returns illustrative cut, hike, and hold probabilities for the next three FOMC meetings based on current FRED fed funds data. Scenario planning tool — not futures-implied market odds. Example: Hold probability 68% at next meeting, cut probability 31% — conditioned on fed funds at 5.33% and latest CPI print. Source: FRED St. Louis Fed. $0.02 USDC per call.

  ConnectorNo auth