market2000.xyz x402 offerings

Returns a concise daily market brief with key updates and insights.

Fetch upcoming and historical company earnings dates in a simple calendar format.

Returns the current market fear and greed index for quick sentiment checks.

Returns the latest market price for a requested asset or symbol.

Returns macroeconomic analog signals and comparable market context data.

Returns the biggest market gainers and losers.

Financial market intelligence for AI agents — pattern analogs, trading signals, sector momentum, market data, and agent-demand intelligence. Pay-per-call via x402 (USDC on Base); no API keys. Includes a free information router that ranks providers across the x402 economy.

Financial market intelligence for AI agents — pattern analogs, trading signals, sector momentum, market data, and agent-demand intelligence. Pay-per-call via x402 (USDC on Base); no API keys. Includes a free information router that ranks providers across the x402 economy.

Financial market intelligence for AI agents — pattern analogs, trading signals, sector momentum, market data, and agent-demand intelligence. Pay-per-call via x402 (USDC on Base); no API keys. Includes a free information router that ranks providers across the x402 economy.

Financial market intelligence for AI agents — pattern analogs, trading signals, sector momentum, market data, and agent-demand intelligence. Pay-per-call via x402 (USDC on Base); no API keys. Includes a free information router that ranks providers across the x402 economy.

Financial market intelligence for AI agents — pattern analogs, trading signals, sector momentum, market data, and agent-demand intelligence. Pay-per-call via x402 (USDC on Base); no API keys. Includes a free information router that ranks providers across the x402 economy.

Financial market intelligence for AI agents — pattern analogs, trading signals, sector momentum, market data, and agent-demand intelligence. Pay-per-call via x402 (USDC on Base); no API keys. Includes a free information router that ranks providers across the x402 economy.

Financial market intelligence for AI agents — pattern analogs, trading signals, sector momentum, market data, and agent-demand intelligence. Pay-per-call via x402 (USDC on Base); no API keys. Includes a free information router that ranks providers across the x402 economy.

Financial market intelligence for AI agents — pattern analogs, trading signals, sector momentum, market data, and agent-demand intelligence. Pay-per-call via x402 (USDC on Base); no API keys. Includes a free information router that ranks providers across the x402 economy.

Returns historical price data for assets.

Trading Portfolio — the book as it stands right now. Every open position with its size, entry, live mark and unrealized PnL, plus total account equity. Real fills on a real venue, not a delayed report. HOW TO CALL: GET /trading/portfolio RESPONSE: account_value_usd — total equity in USD open_positions — [{asset, side, size, entry_price, mark_price, unrealized_pnl}] PRICING: $0.0001 per call.

Trading Scan — the whole universe in one call, best setups first. Crypto and equities scanned together, ranked by strength of edge. Everything that failed the bar is dropped rather than returned as noise. HOW TO CALL: POST /trading/scan?top_n=5 PARAMETERS: top_n — max results to return (default 5, max 10) RESPONSE: signals[] — [{ticker, direction, confidence, kelly_half, score, narrative}] kelly_half = suggested size as a fraction of capital scanned — number of tickers evaluated found — number of setups above threshold PRICING: $0.10 per call.

Backtest — "this has happened before; what happened next?" Finds every prior stretch of history that looked like the ticker's recent shape and reports where those went. HOW TO CALL: GET /api/backtest?ticker=BTC&lookback_days=20&forward_days=30 PARAMETERS: ticker — asset symbol (required) lookback_days — pattern window, 5–60 (default 20) forward_days — forward horizon, 7–90 (default 30) min_return / max_return — optional analog filters (fraction) RESPONSE: win rate, median, tails, sample size over the forward horizon. PRICING: $0.10 per call.

Pattern Backtest — systematically scan all historical windows matching a return profile. Answers: 'every time {ticker} did X% over {N} days, what happened in the next {M} days?' HOW TO CALL: POST /pattern_backtest?ticker=SPY&lookback_days=20&min_return=-0.05&max_return=0.0&forward_days=30 PARAMETERS: ticker — asset symbol (required) lookback_days — window length to scan (default 20) min_return — minimum window return, decimal (e.g. -0.05 = -5%; default: no bound) max_return — maximum window return, decimal (e.g. 0.10 = +10%; default: no bound) forward_days — forward horizon to measure (default 30) RESPONSE: occurrences (count of matching windows), forward_return_distribution (p10/p25/p50/p75/p90 + mean/stdev/pct_positive), example_windows. PRICING: $0.50 per call.

Crawl-to-refer — what each AI company takes from a site versus what it sends back. Per company: pages crawled, visitors referred, and the ratio between them, measured at an origin's own door. Every publisher wants this number for their own site and cannot compute it without being the origin being crawled. HOW TO CALL: GET /api/demand/crawl-to-refer?days=30 PARAMETERS: days — lookback window, 1-90 (default 30) RESPONSE: by_company[] with crawls, referrals and the ratio, plus an explicit caveat on mixed-use crawlers whose referrals cannot be attributed to search or AI. PRICING: $5.00 per call.

Trading Signal — one ticker in, one decision out. Which way, how sure, how much, and where to get out — with the historical record, market backdrop and current news behind it, so you can weigh the call. HOW TO CALL: POST /trading/signal?ticker=BTC POST /trading/signal?ticker=AAPL&timeframe=1d&lookback_days=30 PARAMETERS: ticker — asset symbol, e.g. BTC, ETH, AAPL, SPY (required) timeframe — '1d' (default) lookback_days — pattern window in days (default 20) RESPONSE: direction — 'long' | 'short' | 'flat' confidence — 0.0–1.0, how strong the case is kelly_half — suggested position size as a fraction of capital (0.0–1.0) narrative — plain-language summary of why, and whether the call was suppressed forward_stats — what happened after comparable setups: win rate, median, tails PRICING: $0.10 per call.

Pattern Machine Raw — cheapest tier. Same motif search as /get_patterns but returns only the matched dates, closes, and similarity scores. No forward-return statistics are computed. Use this for high-volume scanning or when you only need raw analog windows. HOW TO CALL: POST /get_patterns_raw?ticker=AAPL&start_date=2024-01-02&end_date=2024-03-01&k=5&metric=l2&wrap=true&timeframe=1d PARAMETERS: ticker — asset symbol (e.g. AAPL, BTC-USD, SPY) start_date — query window start, inclusive (YYYY-MM-DD) end_date — query window end, exclusive (YYYY-MM-DD); must be > start_date k — number of analog patterns to return (default 3) metric — distance metric: 'l1' (Manhattan) or 'l2' (Euclidean, default) wrap — allow circular search across the full history (default true) timeframe — bar size: '1d' (default), '1h', '30m', '15m', etc. RESPONSE FIELDS (per match): dates — list of bar dates for the analog window closes — list of closing prices for the analog window similarity — normalized distance score (lower = closer match) query_return — total return of your query window (%) description — human-readable label

Unmet agent demand — the endpoints agents ask for and cannot get. 404s and gated 401/403s from real (non-scanner) agent clients: a shopping list with the customers already attached. This cut is invisible to anyone who is not the origin being asked, which is why it cannot be reconstructed from public bazaar data. HOW TO CALL: GET /api/demand/unmet?days=7&limit=25 PARAMETERS: days — lookback window, 1-90 (default 7) limit — rows returned, 1-100 (default 25) RESPONSE: unmet[] sorted by volume, each with the signal (404/401/403), category, hit count and bucketed count of distinct askers. PRIVACY: aggregate-only; rows below 3 distinct clients withheld. PRICING: $5.00 per call.

x402 Agent-Demand Intelligence — what AI agents actually try to buy, ranked. Derived from the live request log of an origin that x402 agent crawlers already index: 402 payment quotes are revealed intent (an agent asked the price of a call), so the ranking shows what the agent economy is shopping for right now, by endpoint and by category. HOW TO CALL: GET /api/demand/top?days=7&limit=25 PARAMETERS: days — lookback window, 1-90 (default 7) limit — endpoints returned, 1-100 (default 25) RESPONSE: endpoints[] ranked by payment quotes, each with category, hits, and a bucketed buyer count; by_category[] rollup; coverage metadata. PRIVACY: aggregate-only. No per-client logs are sold. Rows seen by fewer than 3 distinct clients are withheld and client counts ship as buckets. PRICING: $5.00 per call.