TradingAgents x402 - Multi-Agent LLM Arbitrage Analysis is a paid API for AI agents from tradingagents-x402.fly.dev, paid per call via x402, $0.03/call, status unknown (last checked 2026-09-14).
Runs a paid multi-agent LLM pipeline to produce a structured BUY/HOLD/SELL arbitrage recommendation for a given ticker, including analyst debate, risk review, and confidence score.
Pay $0.03 USDC, get a structured multi-agent trading recommendation for any ticker. Five specialist analysts (fundamentals / sentiment / news / technicals), bullish-vs-bearish researcher debate, trader synthesis, risk-management review, portfolio-manager final decision. Returns BUY/HOLD/SELL with confidence, rationale, and full agent transcripts. Powered by the open-source TradingAgents framework (arXiv:2412.20138).
A structured JSON object containing a BUY/HOLD/SELL decision, confidence score, rationale, individual specialist analyst reports (fundamentals, sentiment, news, technicals), a bullish vs bearish researcher debate summary, a trader synthesis, and a risk review — all generated by a multi-agent LLM pipeline.
POSThttps://tradingagents-x402.fly.dev/api/analyze-arbitrageChoose this endpoint when you need a comprehensive, multi-perspective trading recommendation that combines fundamentals, sentiment, news, and technical analysis into a single structured output with an explicit BUY/HOLD/SELL decision and confidence score. It is particularly well-suited for arbitrage-focused analysis. Prefer it over simple price lookup or single-indicator tools when you want a synthesized, risk-reviewed recommendation from a multi-agent debate pipeline rather than raw data.
| Field | Type | Description |
|---|---|---|
| date | string | Optional analysis date in YYYY-MM-DD format; defaults to today |
| ticker | string | Public equity or crypto ticker symbol, for example NVDA |
| analysts | array | Optional analyst modules to run |
{
"type": "json",
"example": {
"ok": true,
"report": "Cross-market arbitrage consensus with supporting observations.",
"ticker": "NVDA"
}
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