"A server for obtaining historical cryptocurrency market data" matching MCP tools:

• get_protocol_tvlA

  TeardropA

  Get Total Value Locked for one or many DeFi protocols from DeFiLlama: current USD TVL, 7/30-day change, fees and revenue when reported, per-chain breakdown, and optional daily historical series. Batch multiple protocols via protocols=[...] — batch responses return one compact economic summary per protocol; single-protocol calls add chain and historical detail. Supports 3,000+ protocols; use DeFiLlama slugs ('aave-v3', 'uniswap-v3'); common aliases are auto-corrected. Use when: Use for protocol-level economic questions — size, growth, fees, or revenue of a specific protocol. For 2+ protocols always batch in one call rather than calling per-protocol. Pass include_historical=true with days when a trend is needed; without it the response is a current TVL scalar. For ecosystem-level chain comparisons use get_chain_metrics instead. Limitations: Third-party DeFiLlama analytics, not on-chain truth. Upstream revenue failures surface as revenue_error_type and null economic fields are data gaps — never fabricate values for them. Alternatives: get_chain_metrics, get_yield_rates, get_dex_volume

  ConnectorNo auth

• patternfetch_analogsA

  patternfetchA

  Find earlier windows IN THE SAME SERIES whose shape resembles the current price action and return the FULL distribution of what followed (win-rate, median, min, max, n) over a fixed forward horizon. Parameters: window = how many recent bars form the shape being matched (default 32); horizon = how many bars forward each match is measured over (default 20). WHEN: an agent wants the historical spread of outcomes after a similar-looking setup, including how wide and how uncertain that spread is. WHEN NOT: you want the current technical picture (use brief), you want to find candidates across the market (use scan), or you need one expected value — this deliberately returns a distribution, not a point estimate. NOT a prediction, NOT a backtest of a strategy; past distribution does not guarantee future results. Example: {"ticker":"ETH/USDT","timeframe":"1d"}. Impersonal data, not advice.

  ConnectorNo auth

• find_dealsA

  glowjaktA

  List beauty products currently discounted in a market, largest discount first. Use when the user asks for current sales, offers or discounts, optionally within a category. discount_percent is calculated from each store's own previous list price (original_price), not from historical prices. Large percentages can be one-off clearance prices; get_price_history shows the actual price trajectory for a product. Prices exclude shipping. Args: country: Market - "se" (Sweden), "no" (Norway), "dk" (Denmark), "fi" (Finland). More markets may be added over time; get_service_info returns the current list. category: Optional filter: skincare, makeup, haircare, fragrance, nails, body, accessories. min_discount: Optional minimum discount percent (e.g. 30). Applied to the fetched top deals; the returned count reflects it, total_on_sale does not. limit: Maximum number of results (1-20).

  ConnectorNo auth

• weather.forecastA

  Abstraxn Agent LayerA

  Weather data from a global weather data provider — current conditions, short-range forecast, astronomy, historical, marine, and location search. Free, read-only, no wallet needed. Every action requires `q`, a location: a city name (e.g. "Paris"), "lat,lon" (e.g. "48.85,2.35"), a US/UK/Canadian postal code, or an IATA airport code. Pick one `action`: - current: current conditions for `q`. Optional `aqi` (default false) adds basic air quality data. - forecast: forecast for `q`. Optional `days` — this deployment runs on a data plan capped at 3 days, so only 1-3 is accepted; omit for the provider default. Optional `aqi`, `alerts` (default false, adds active weather alerts for the location where available). - astronomy: sunrise/sunset/moonrise/moonset/moon phase for `q` on `date` (required, YYYY-MM-DD). - search: resolve a fuzzy `q` into matching locations (name, region, country, lat/lon) — use this first if you only have an approximate place name and need to disambiguate. - history: past weather for `q` on `date` (required, YYYY-MM-DD, must be yesterday). This deployment enforces a free-tier data plan that only allows yesterday's date — any other date is rejected before a provider call is made. - marine: marine/sailing conditions for `q`. This deployment runs on a data plan limited to 1 day of data with no tide information. Results are for general informational purposes only — do not use them as the sole basis for decisions involving personal safety, aviation, marine navigation, or emergency planning.

  ConnectorNo auth

• weather.forecastA

  AbstraxnA

  Weather data from a global weather data provider — current conditions, short-range forecast, astronomy, historical, marine, and location search. Free, read-only, no wallet needed. Every action requires `q`, a location: a city name (e.g. "Paris"), "lat,lon" (e.g. "48.85,2.35"), a US/UK/Canadian postal code, or an IATA airport code. Pick one `action`: - current: current conditions for `q`. Optional `aqi` (default false) adds basic air quality data. - forecast: forecast for `q`. Optional `days` — this deployment runs on a data plan capped at 3 days, so only 1-3 is accepted; omit for the provider default. Optional `aqi`, `alerts` (default false, adds active weather alerts for the location where available). - astronomy: sunrise/sunset/moonrise/moonset/moon phase for `q` on `date` (required, YYYY-MM-DD). - search: resolve a fuzzy `q` into matching locations (name, region, country, lat/lon) — use this first if you only have an approximate place name and need to disambiguate. - history: past weather for `q` on `date` (required, YYYY-MM-DD, must be yesterday). This deployment enforces a free-tier data plan that only allows yesterday's date — any other date is rejected before a provider call is made. - marine: marine/sailing conditions for `q`. This deployment runs on a data plan limited to 1 day of data with no tide information. Results are for general informational purposes only — do not use them as the sole basis for decisions involving personal safety, aviation, marine navigation, or emergency planning.

  ConnectorNo auth

• get_seasonality_indexA

  Agent CentralB

  Get a year-independent, unlabeled 52-week ISO-week demand curve for ASINs, built from available historical sales, sessions, and revenue data. At least 365 distinct daily source records per ASIN are required. Index value of 1.0 = average week, >1.0 = above-average demand, <1.0 = below-average. Retail events are not assigned to static ISO weeks. Use without ASIN for a summary of all ASINs ranked by seasonal amplitude. Use with ASIN for the available weekly curve, coverage_summary, and availability metadata. An unavailable result means the curve has not been computed; it never represents zero demand.

  ConnectorAPI key

• get_protocol_tvlA

  teardropA

  Get Total Value Locked for one or many DeFi protocols from DeFiLlama: current USD TVL, 7/30-day change, fees and revenue when reported, per-chain breakdown, and optional daily historical series. Batch multiple protocols via protocols=[...] — batch responses return one compact economic summary per protocol; single-protocol calls add chain and historical detail. Supports 3,000+ protocols; use DeFiLlama slugs ('aave-v3', 'uniswap-v3'); common aliases are auto-corrected. Use when: Use for protocol-level economic questions — size, growth, fees, or revenue of a specific protocol. For 2+ protocols always batch in one call rather than calling per-protocol. Pass include_historical=true with days when a trend is needed; without it the response is a current TVL scalar. For ecosystem-level chain comparisons use get_chain_metrics instead. Limitations: Third-party DeFiLlama analytics, not on-chain truth. Upstream revenue failures surface as revenue_error_type and null economic fields are data gaps — never fabricate values for them. Alternatives: get_chain_metrics, get_yield_rates, get_dex_volume

  ConnectorNo auth

• get_public_info_api_infoA

  orderly-mcpA

  Get reference documentation for the Orderly Public Info API — a zero-auth single endpoint (POST /v1/public/query) for market, account, and platform data selected by a `type` field. Covers 24 query types (marketSummary, accountState, orderbook, candles, topAddresses, whaleContext, etc.); `queryType` accepts exact, partial, or fuzzy names and returns params, response fields, example, weight, and freshness; `category` lists a group (queryType wins if both are supplied); omit both for the overview and rate-limit rules. Read-only bundled docs — it does not call the endpoint. Use instead of get_api_info for zero-auth public data; use get_api_info for authenticated trading, get_indexer_api_info for historical analytics, and get_strategy_vault_api_info for vault data.

  ConnectorNo auth

• recommend_toolA

  ~Alter IdentityA

  Get the wiring instructions for connecting an MCP client to ~alter. The name is historical and this recommends nothing: it hands back connection details, not a suggested tool. Use it when adding ~alter to a new MCP client, or when passing the endpoint to another agent so it can connect for itself. Returns the MCP endpoint URL, a ready-to-paste JSON configuration snippet, and how many tools are callable at each tier. Takes no parameters and reads no member data. Free L0, no authentication required.

  ConnectorNo auth

• submit_paid_mail_jobA

  PostAgent — Print and MailA

  Detached-signature fallback for x402 wallets that can emit a standalone PAYMENT-SIGNATURE header. THE PRIMARY/RECOMMENDED PATH is for the agent's wallet to pay the quote's `paymentUrl` in-band (e.g. `npx awal@latest x402 pay <paymentUrl>`); use this tool only if your wallet client cannot do that. Charges the agent in USDC on Base mainnet and creates a physical letter for printing and mailing. THIS IS IRREVERSIBLE. Only call after the user has explicitly confirmed the recipient, sender, content, and price returned by create_mail_quote, and after obtaining the signed x402 payment header (see prepare_mail_payment).

  Connector

  Destructive

  No auth

• patternfetch_briefA

  patternfetchA

  Get a token-compact market-state brief for a stock, ETF, or crypto ticker + timeframe. Returns compact candles, detected chart/candlestick patterns with geometric confidence AND a backtested historical base rate (how often that pattern+timeframe+confidence-band actually resolved its way), support/resistance levels, trend/regime, and interpreted indicators (RSI/EMA state) plus a one-line summary. Covers US stocks/ETFs (split & dividend adjusted, delayed/EOD) and crypto spot (realtime). WHEN: an agent needs the current technical picture of a market without dumping raw OHLCV into context (saves tokens, avoids numeric hallucination). WHEN NOT: you need order execution or portfolio advice. Examples: {"ticker":"AAPL","timeframe":"1d"}, {"ticker":"BTC/USDT","timeframe":"4h"}. Output is impersonal market data, NOT investment advice.

  ConnectorNo auth

• arbitrage_historyA

  whale-insightsA

  Historical arbitrage opportunities — top 5 per day (MCP-compatible) — Returns a daily history of the top 5 cross-exchange arbitrage opportunities detected by the platform. Each day entry lists the 5 highest-spread opportunities saved by the cron job, including token symbol, spread percentage, buy/sell exchanges, and average USD volume. Useful for AI agents answering questions like 'which tokens appear most frequently in arbitrage?' or 'what is the average daily spread?'. Data is accumulated daily; older than 180 days is automatically purged. Response: { days, history: [{date, opportunities: [{symbol, spreadPct, buyExchange, sellExchange, usdVolume}]}], total, updatedAt }. Query parameter: ?days=7 (default 7, max 180). No authentication required. 60 requests/min rate limit. 5-min in-process cache. — 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

• analyst_summary_historyA

  whale-insightsA

  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.

  ConnectorNo auth

• submit_paid_mail_jobA

  PostAgentA

  Detached-signature fallback for x402 wallets that can emit a standalone PAYMENT-SIGNATURE header. THE PRIMARY/RECOMMENDED PATH is for the agent's wallet to pay the quote's `paymentUrl` in-band (e.g. `npx awal@latest x402 pay <paymentUrl>`); use this tool only if your wallet client cannot do that. Charges the agent in USDC on Base mainnet and creates a physical letter for printing and mailing. THIS IS IRREVERSIBLE. Only call after the user has explicitly confirmed the recipient, sender, content, and price returned by create_mail_quote, and after obtaining the signed x402 payment header (see prepare_mail_payment).

  Connector

  Destructive

  No auth

• wdf_data_templates_submissions_createA

  Web Data FormsA

  Creates a new submission for a specific Data Template (Form). Use this tool after obtaining the Data Template (Form) schema (via wdf_data_templates_get_schema_and_sample_submissions) and collecting all required information from the user. Keys in data must match the field IDs from the Data Template (Form) schema, not display labels — an unrecognized key may be silently dropped rather than raising an error. Provide all fields marked as required in the Data Template (Form) schema; omitted optional fields are simply left blank on the new submission.

  ConnectorNo auth

• generate_strategic_reviewA

  TrendIdeaA

  Generate an executive-level strategic review report for an idea, synthesising all available validation data (market research, competition, SWOT, revenue model, VC score) into a concise go/no-go assessment with actionable recommendations. Requires prior validation data (run request_revalidation first if none exists). Returns cached report instantly if one exists, otherwise generates fresh analysis. Spends 2 credits only when generating new content. Not read-only; pass an ideaId you own.

  ConnectorNo auth

• get_apy_historyA

  AaveA

  Historical supply or borrow APY for a reserve over time, on v3 or v4. Returns a time-series of {date, apyPct}, where apyPct is a percent ('3.32' means 3.32%). Each point is an average over its sampling interval, and the interval widens with the window (hourly for 'day', coarser above that), so a series is not directly comparable to the instantaneous rate from get_reserve_details. Use get_markets first for the reserveId (v4) or market+token (v3). When comparing v3 against v4 for the same asset (a migration decision), read the history on both sides: a spot-rate gap can be one side's momentary spike.

  ConnectorNo auth

• get_apy_historyA

  Aave MCPA

  Historical supply or borrow APY for a reserve over time, on v3 or v4. Returns a time-series of {date, apyPct}, where apyPct is a percent ('3.32' means 3.32%). Each point is an average over its sampling interval, and the interval widens with the window (hourly for 'day', coarser above that), so a series is not directly comparable to the instantaneous rate from get_reserve_details. Use get_markets first for the reserveId (v4) or market+token (v3). When comparing v3 against v4 for the same asset (a migration decision), read the history on both sides: a spot-rate gap can be one side's momentary spike.

  ConnectorNo auth

• get_historical_market_capA

  Alphanume DatasetsA

  Point-in-time historical market capitalization: daily market_cap and shares_outstanding per US ticker, as they were known on each date (no restatement, no survivorship bias). The backbone reference for size filters, cap-weighted baskets, and normalizing anything by company size in a backtest. Requirements: provide `ticker` OR at least one date filter. A single `date` with no ticker returns the whole market for that day; a date RANGE without a ticker is capped at 7 calendar days. Pagination: results are capped at 50,000 rows per request; when the response has has_more=true, pass next_cursor's date and ticker back as cursor_date and cursor_ticker to fetch the next page. Companion tool: list_market_cap_tickers shows which tickers exist and their first available date. Requires an Alphanume Pro API key. A 403 PRO_SUBSCRIPTION_REQUIRED or DATE_RANGE_RESTRICTED error means the key's plan does not cover the request -- it does not mean the data is missing.

  ConnectorNo auth

• prediction.exit_capacity_auditA

  alphapipelineA

  Walk a single Polymarket outcome's live order book to determine how much of a given position size can actually be filled right now, at what average price, and with how much price impact versus the best quote - a live snapshot, not historical liquidity. Also returns book_snapshot_time (the book's own reported timestamp) and Polymarket's own tick_size/min_order_size for this market (null if the book response didn't include them). Accepts either a raw token_id or a market_slug (+ outcome) to resolve it automatically - exact slug only, no fuzzy keyword search. Do not use for multi-outcome basket arbitrage detection (use prediction.neg_risk_arbitrage instead). Paid in USDC on Base.

  ConnectorNo auth

• prediction.exit_capacity_auditA

  AlphaPipeline Agent MCPA

  Walk a single Polymarket outcome's live order book to determine how much of a given position size can actually be filled right now, at what average price, and with how much price impact versus the best quote - a live snapshot, not historical liquidity. Also returns book_snapshot_time (the book's own reported timestamp) and Polymarket's own tick_size/min_order_size for this market (null if the book response didn't include them). Accepts either a raw token_id or a market_slug (+ outcome) to resolve it automatically - exact slug only, no fuzzy keyword search. Do not use for multi-outcome basket arbitrage detection (use prediction.neg_risk_arbitrage instead). Paid in USDC on Base.

  ConnectorNo auth