Massive

By Massive.com, Inc.

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Overview

Stocks, options & indices market data via Massive.com financial data API. Access real-time and historical prices, quotes, trades, and aggregates for equities, options contracts, ETFs, FX, crypto, futures, and more. Massive brings institutional-grade market data directly into Claude. Stocks & equities: Real-time stock prices, historical stock data, tick-level trades and quotes, OHLC aggregates and candlestick bars, market snapshots, and stock ticker reference data for all US equities and ETFs, sourced from all US exchanges. Options: Options contracts data including options chains, options prices, quotes, trades, open interest, and historical options data across the full US listed options market. Futures: Futures market data including futures contracts, futures prices, trades, quotes, and historical futures data across major products. Indices: Real-time and historical index data including index values and aggregates for major market indices. Forex & crypto: Currency pairs, exchange rates, crypto prices, and historical FX and cryptocurrency market data. Beyond prices, pull company fundamentals and financials, corporate actions like dividends and stock splits, market news, technical indicators (SMA, EMA, MACD, RSI), and market status. Ask Claude natural-language questions — "show me NVDA's opening cross" or "chart AAPL's daily bars this quarter" — and get answers backed by licensed, exchange-sourced market data. Built for traders, quants, analysts, and developers who need accurate stock market data, equities data, and multi-asset market data inside Claude.

Tools

call_api

ChatGPT

Fetch data from a Massive.com REST API endpoint. Use a path from search_endpoints results. Set store_as to save results as an in-memory table for SQL querying with query_data; the first store auto-creates a workspace and returns its handle — pass that workspace= to query_data and to later stores to keep them in one scope. Paginated responses include a next-page hint with the exact path and params for the follow-up request. The apply parameter runs built-in functions on results — string input values refer to table columns, numeric values are literals. Use search_endpoints with scope="functions" to discover available functions.

query_data

ChatGPT

Run SQL queries on tables stored via call_api's store_as parameter, or inspect them with action. Tables auto-expire after 1 hour. Supports CTEs, window functions, JOINs, and ILIKE. Queries run in the SQLite dialect. Pass exactly one of sql or action. action="show_tables" lists every stored table with its column names (table_name,rows,columns,bytes,age_seconds,column_names), so it is usually enough to write correct SQL; action="describe", table=<name> gives column types and, for tables fetched from a documented endpoint, each field's description — use it when a wide table's column_names ends in "(+K more)" or the columns are short API keys like c, h, l, o, v, vw, t, n. Table and column names are case-insensitive. A "no such column" error lists the table's actual columns and describes the short ones. Full-text search: any stored table with TEXT columns is searchable directly via FTS5. Use WHERE {table} MATCH 'query' and ORDER BY rank (lower = better). Numeric columns preserve their types. For long TEXT fields (news body, 10-K risk factors, filings) prefer snippet()/highlight() in SELECT. Recommended FTS pattern: 1. Find matches compactly:

SELECT rowid, category, bm25({t}) AS score, snippet({t}, 4, '[', ']', '...', 15) AS snip FROM {t} WHERE {t} MATCH 'supply chain OR supplier' ORDER BY rank

2. Fetch the full body only for rows you need: call query_data again with SELECT supporting_text FROM {t} WHERE rowid IN (2, 7) and max_cell_chars=0. Output cells over max_cell_chars (default 2000) are truncated with a visible marker; raise or set to 0 to disable.

search_endpoints

ChatGPT

Search for market data API endpoints and built-in finance functions by natural language query, or fetch full documentation for one endpoint by passing its exact path. Use this FIRST to find the right endpoint before calling call_api. Covers stocks, options, forex, crypto, futures, indices, ETFs, and economic data. Search results include each endpoint's parameter names (required ones marked *) — usually enough to call it directly; pass path="..." exactly as shown in results to get full parameter docs for that one endpoint, adding detail="verbose" if you need to know what the response fields mean. Use detail="more" only when you need parameter docs for several candidates at once. Pass market to pin results to a specific asset class when you already know it; omit it and the server will infer from the query.

workspace

ChatGPT

Manage isolated scratch workspaces for storing API results. A workspace handle is the per-conversation scope for stored tables. A handle is created automatically the first time you call call_api with store_as (it's returned in the result) — use this tool only to create one up front, list existing ones, or delete one. One workspace = one isolated scratch space; create separate handles for work that must not share data, reuse one (e.g. across sub-agents) when sharing is intended. Workspaces expire after 1h idle. To resume or switch, use action='list' and pass the chosen handle onward — there is no server-side "active" workspace. Use action='delete' to free one early. If a call reports the handle is unknown/expired, create a new one and re-stage data — don't retry the dead handle.