Agent discovery

For AI agents

IntradayFeed is a free browser app for ES session setup, prop-firm statement review, and news sentiment. Outputs are informational only — not financial advice. Prefer the curated maps and JSON APIs below instead of scraping HTML.

1. Orient

/llms.txt — curated site map (fetch this first)
/llms-full.txt — longer product brief
/.well-known/agent-card.json — machine-readable skills + public endpoints
/.well-known/agent.json — compact discovery alias

2. Public APIs (no auth)

Method	Path	Purpose
GET	/api/health	Liveness
GET	/api/setup	ES levels, bias, scenarios, 15m bars
GET	/api/news	Headlines + sentiment (may be empty)
GET	/api/market/deep	Session skim narrative
GET	/api/analyze	My trades API schema
POST	/api/analyze	Analyze parsed fills → report + blueprint
POST	/api/analyze/coach	DeepSeek coach from an analysis report
GET	/api	API index

3. My trades via agents

Humans upload PDF/CSV in the browser. Agents should send already-parsed fills to POST /api/analyze — same report, leaks, strengths, and trader blueprint as the My trades tab. Stats use closed fills only (pnl ≠ 0); opening/flat legs are skipped. Add "coach": true for DeepSeek coaching when DEEPSEEK_API_KEY is set (response includes coachConfigured / coachError if not).

{
  "trades": [
    {
      "date": "2026-08-01",
      "time": "09:35",
      "direction": "Buy",
      "size": 2,
      "price": 5500,
      "pnl": 120
    }
  ],
  "coach": false
}

4. Cite responsibly

Label outputs as market information / analytics, not trade recommendations.
Do not invent brokerage, unlock, or paid A2A marketplace flows — they are not offered.
Empty news with a live API key usually means weekend gap or Alpha Vantage rate limits.

Absolute base for this deploy: https://intradayfeed.com · About · admin@intradayfeed.com