Fetch data from any registered FMP endpoint.

This is the primary data fetching tool. Use fmp_list_endpoints to discover available endpoints, and fmp_describe to see required parameters.

Search for companies by name or ticker.

Convenience wrapper for company search. Returns matching companies with their symbols, names, and exchange information.

Get compact benchmark-relative price-performance windows.

Use this for historical-coincidence evidence when a workflow needs 3-5 outperformance/underperformance periods. It fetches adjusted historical prices for the stock and benchmark, aligns common trading dates, computes rolling returns, and returns only the largest non-overlapping windows. This avoids raw historical-price CSV parsing for ordinary stock-move analysis.

Get detailed company profile information as a current FMP /profile snapshot.

Returns comprehensive company data including sector, industry, description, CEO, employees, website, and key financial metrics. The profile mktCap field is price times shares as of the API call time, or up to 1 week stale when served from cache. FMP does not include a snapshot timestamp on this endpoint. For historical period-aligned market cap, use fmp_fetch(endpoint="key_metrics", period="annual") and read the date field on each row.

Compare current profile market cap against latest annual key_metrics market cap.

Use this when fmp_profile.mktCap and fmp_fetch(endpoint="key_metrics") marketCap values appear to disagree. The profile value is a current snapshot; the latest annual key_metrics value is aligned to that row's period-end date.

List available FMP data endpoints.

Discovery tool to see what data is available. Use this first to understand what endpoints exist before fetching data.

Get detailed documentation for an FMP endpoint.

Discovery tool to understand what parameters an endpoint accepts. Use this before calling fmp_fetch to know required vs optional params.

Screen stocks by fundamental criteria (sector, market cap, beta, dividend, etc.).

Searches the full universe of stocks and ETFs using financial filters. Combine multiple criteria to narrow results.

Get estimate revision history for one ticker and fiscal period.

Reads snapshots through the hosted estimates API backed by the monthly collection job. If fiscal_date is omitted, defaults to the nearest available upcoming fiscal period for the ticker.

Screen a ticker universe for material estimate momentum.

Compares latest estimates against a lookback snapshot (days ago) and returns per-ticker deltas/direction. By default, trivial revisions are filtered out unless either EPS changed by at least 1% of baseline consensus or revenue changed by at least 0.5% of baseline consensus. If tickers is omitted, screens the full stored universe.

Get economic indicators or upcoming economic events.

Fetches macroeconomic data from FRED via FMP. Use indicator mode for time series data (GDP, CPI, unemployment, etc.) or calendar mode for upcoming/recent economic releases.

Get sector or industry performance and valuation overview.

Combines daily performance snapshot and P/E ratio snapshot into a unified heatmap view. Supports both sector-level and industry-level granularity.

Get a one-call market snapshot across indices, sectors, movers, and events.

Useful for quick "what's happening in the market?" checks. Fetches major index moves, sector heatmap, top gainers/losers, most active names, and upcoming high-impact economic events.

Get institutional ownership analytics for a stock.

Combines institutional holder-level data with aggregate ownership summary metrics to show which institutions are accumulating or reducing positions.

Get insider buying/selling activity and summary statistics for a stock.

Fetches recent insider transactions and aggregate insider trading stats.

Get ETF/fund composition across holdings, sector/country weights, and metadata.

Fetch news articles for stocks or the broad market.

Three modes: stock-specific news, general market news, and company press releases. Requires symbols for stock and press modes. Note: For portfolio-aware auto-fill, use get_portfolio_news on portfolio-reads-mcp.

Fetch upcoming corporate events: earnings, dividends, splits, or IPOs.

Can show market-wide calendars or filter to specific symbols. Useful for tracking upcoming catalysts and corporate actions. Date ranges wider than 90 days are split into FMP-compatible windows internally. Note: For portfolio-aware auto-fill, use get_portfolio_events_calendar on portfolio-reads-mcp.

Compare a stock against its peers on key financial ratios.

Fetches the peer group for a stock and builds a side-by-side comparison of financial ratios including valuation, profitability, margins, and leverage. By default, auto-discovery is operating-peer oriented. For dividend payout, buyback, and shareholder-return questions, pass peer_context="capital_allocation" or metric="dividend_payout" so the peer set favors mature dividend-paying capital-allocation comps over no-dividend growth operating peers.

Get composite technical analysis for a single stock or ETF.

Fetches multiple technical indicators and provides trend direction, momentum signals, volatility analysis, and support/resistance levels with an overall buy/sell signal.

Parse and navigate an earnings call transcript.

Splits the raw transcript into structured sections: prepared remarks and Q&A with per-speaker segments and grouped Q&A exchanges.

IMPORTANT — default mode is summary (metadata only). This protects your context window. Full text is returned only when you explicitly request format="full".

Recommended workflow:

1. Call with default format="summary" to see the speaker list, word counts, and exchange count (costs ~1 KB of context)

2. Identify the section or speaker you need

3. Call again with format="full" and specific filters (section, filter_role, filter_speaker) to read only that content

4. Each text field is capped at max_words (default 3000). Set max_words=None to remove the cap (use with caution). Note: If format="full" is used WITHOUT any filters (no section, filter_role, or filter_speaker), a bounded preview is returned instead (first 3 segments per section, 500 words each, 2 exchanges). Add at least one filter to get full content with max_words control.