Minimal sanity check. Returns { status, version, timestamp, cache_size }. No auth needed. Use this to verify the MCP server is reachable and responsive.

Return metadata for all 24 stock screeners on the platform, including each screener's slug, name, description, category, and tier. Use this to discover which screeners are available before calling get_screener_data. Call this once per session — the list changes very rarely. Returns { tier, total, accessible, screeners: [...] }.

Return the current rows of a single stock screener for its latest data date. Use this when the user asks about a specific screener like 'hot prospects' or 'golden cross'. Common slugs: hot-prospects, golden-cross, death-cross, rsi-oversold, rsi-overbought, defensive-stocks, dividend-prospects, j-pattern, nearing-6-month-highs, week-52-high-top-picks, top-penny-pops, strong-volume-gains, top-tech-stocks, fundamentally-fine, income-and-growth, best-reits. If you don't know the slug, call list_screeners first. Returns { screener, pagination, data: [stock rows] }.

Find stocks that appear in multiple screeners simultaneously. Powerful for high-confidence picks where the user wants confluence across strategies. Use when the user asks 'which stocks are in both X and Y' or 'find stocks in 3+ bullish screeners'. Returns { screeners_queried, mode, count, symbols: [{symbol, screeners, match_count}] }. Intersection mode returns only stocks in ALL listed screeners; union returns stocks in ANY.

Return all chart patterns currently detected for a single stock symbol. Covers 25+ patterns including head_shoulders, cup_handle, wedge_rising/falling, asc/desc/sym_triangle, double_top/bottom, channel_up/down, cup_handle, harmonic patterns (gartley, butterfly, bat, crab). Use when the user asks 'what patterns does X have' or 'is X forming a head and shoulders'. Returns { symbol, interval, computedAt, candleCount, patterns: [...] }. Empty patterns array if none detected.

Find all stocks across one or more screeners that currently exhibit specific chart patterns. Much faster than calling get_chart_patterns in a loop. Use when the user asks 'which stocks have a cup and handle' or 'find me hot prospects with bullish reversal patterns'. Returns { screeners_queried, patterns_queried, interval, count, matches: [...] }.

Return the daily options flow table for one trading day — aggregated call/put volume, premium, implied volatility, and consecutive-day streaks for every notable symbol. Use when the user asks 'what's the options flow today' or 'show me the top premium plays'. Each row includes call_put_volume_ratio (bullish if > 1.0), consecutive_days (streak length), total_premium (dollar size), call_avg_iv/put_avg_iv. Returns { date, sort, limit, data: [...], stats, dates }. Tier: Pro only — Basic users get 403.

Return the historical options flow for a single stock — most recent days first. Use when the user asks 'show me X's options flow history' or 'how long has X been bullish'. Returns { symbol, limit, count, data: [daily rows, newest first] }. Tier: Pro only.

Return curated high-conviction options flow signals for a date range. These are the strongest setups filtered by long streaks, large premium, and screener confluence. Each signal includes performance tracking (max_high_pct, max_drawdown_pct). Use when the user asks 'what are today's signals' or 'show me bullish setups from last week'. If date_from/date_to omitted, returns last 60 days. Returns { count, signals: [...] }. Tier: Pro only.

Return individual options contracts flagged as unusual (Vol/OI > 1.5). Each row is one contract, not one stock. Use when the user wants contract-level detail. Filter by symbol, side (call/put/both), minimum vol/oi, minimum premium, or max days to expiration. For aggregated stock-level flow use get_options_flow_overview instead. Returns { date, count, contracts: [...] }.

Return basic metadata for a stock — full company name, exchange, industry, last close price, and percent change. Use this when you first encounter a symbol and need to identify it. Lighter than get_stock_report (composite) or get_candles (full history). Returns { symbol, symbol_name, last_price, percent_change, exchange, industry }. Returns NOT_FOUND for unknown tickers.

Return OHLCV price candles for a single stock. Use when you need price history to compute indicators or answer 'how much is X up this month'. time is a Unix epoch in seconds (UTC midnight for daily). Default range is 6mo. Use larger ranges like '1y' or '2y' only when the user explicitly asks for long history — max range is 20 years. Returns { symbol, interval, range, count, data: [{time, open, high, low, close, volume}] }.

Return a comprehensive report on a single stock in one call — metadata, screener appearances, chart patterns, options flow, signal status, price summary, and upcoming earnings. THIS IS THE PREFERRED FIRST TOOL when a user asks about a single stock. It replaces 5-7 separate tool calls (get_stock_info + get_chart_patterns + get_options_flow_timeline + get_options_flow_signals + screener lookups + get_candles). Do NOT also call the primitives after calling this — the composite already has everything. Parallel fetch under the hood, graceful partial failures (if one source errors, that section returns null with a note). Returns { symbol, info, screeners, patterns, options_flow, signal, candle_summary, upcoming_earnings, overall_bias }. overall_bias is a heuristic hint, not financial advice.

Find the strongest trading setups today by combining options flow signals and screener confluence into a ranked list. Use when the user asks 'what should I trade today', 'best setups', 'top bullish plays'. Returns a ranked list with a composite score (signal strength + screener confluence + streak length). Present the top 3-5 to the user with narrative context, don't dump the raw JSON. Use get_stock_report if the user wants to dig deeper into any specific result. Returns { side, date, count, setups: [{symbol, score, signal, screeners_hit, ...}] }.

Return NYSE and NASDAQ market breadth data — advancing/declining issues, new highs/lows, percent advancing. Use when the user asks 'how's the market today' or 'is breadth strong'. Default (no params): last 7 trading days. Returns { dates, count, data: [{exchange, advancing_issues, declining_issues, new_highs, new_lows, percent_advancing_issues, data_date}] }. Two rows per date (NYSE + NASDAQ). Tier: Basic+.

Return AI-detected trending topics in tech & science, patents, or funding events. Use when the user asks 'what's trending in tech' or 'show me patent trends'. Returns { category, count, trends: [{date, topic, weight}] } where weight is 0-1. Tier: Pro only.

Return AI-computed connections between trending topics across categories (tech → patents, tech → funding, etc). Useful for spotting meta-trends. Use when the user asks 'what trends are connected' or 'show me cross-category signals'. Returns { count, connections: [{source_category, source_topic, target_category, target_topic, strength, rationale}] }. Tier: Pro only.

Return a plain-language explanation of a platform-specific term, metric, or screener. Use ONLY for terms that are specific to StockMarketScan (e.g. 'strength_score' which is our internal scoring, or 'hot_prospects' which is our curated screener). Do NOT use for generic finance terms the model already knows — answer those directly. Returns { term, title, explanation, interpretation, related_terms }.