# Prop Challenge Lab – Trading Journal Analyzer

> Prop Challenge Lab – Trading Journal Analyzer is a paid API for AI agents from agent-data.centorprat.workers.dev, paid per call via x402, $4.99/call, status unknown (last checked 2026-10-30).

Analyzes a prop-firm trading journal (CSV or MT5 JSON) against challenge rules to score consistency, calculate pass odds, and surface costly trade patterns.

## Facts

- Endpoint: POST https://agent-data.centorprat.workers.dev/quant/prop-report?utm_source=zero.xyz
- Price: $4.99/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/prop-challenge-lab-trading-journal-analyzer-672c64c5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_gJjie4oDGDl-NbNV2wE2j

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability prop-challenge-lab-trading-journal-analyzer-672c64c5 -d '<json body>'
```

Example prompt: Analyze my FTMO trading journal — I'll paste the CSV — against 2STEP_P1 rules for a $10,000 account and tell me my pass odds, consistency grade, and what trade patterns are costing me the most R.

## When to prefer this

Use this endpoint when a trader or AI agent needs to evaluate a prop-firm trading journal against specific challenge rule tiers (2STEP_P1/P2, 1STEP, TRIAL, FUNDED) and wants quantified pass odds, consistency grading, and pattern-level R attribution — rather than generic trade analytics or broker-agnostic P&L summaries. Ideal for FTMO-style challenge analysis where rule-specific drawdown and consistency metrics matter.

## Known failure modes

- Malformed or empty CSV/JSON input returns a parse error
- Unrecognized rules tier defaults to 2STEP_P1 without warning
- Account size not provided and not inferable from journal causes computation gaps
- Insufficient trade history yields low-confidence pass odds
- Network timeout on large journals with many trades

## How this service works

Pay-per-call data and tools for AI agents, $0.002-0.01 per call in USDC via x402 (Base, Polygon or Solana), no account or API key; MAX tiers ($0.05-0.25) run deeper jobs. Agent toolkit: web search, search + read top pages, any page as clean markdown with a prompt-injection check, which-x402-API-to-call recommender, seller check. Data: Google Maps places with contacts, YouTube video data and transcripts, job listings (Indeed, LinkedIn, 13 boards), Google Ads Transparency, TikTok comments, Pinterest, Airbnb, Redfin, AliExpress, app stores, live sports, website and SEO checks, Shopify store tech stacks, and onchain token / address risk checks.

## Output

Returns a JSON object with: net P&L, total R-sum, win rate, pass odds (fresh, robust, from-now, and zero-edge twin scenarios), number of positions, consistency grade (A–F) and score, a ranked list of costly trade archetypes with their R drain and trade count, and a shareable dashboard URL with a visual breakdown of the analysis.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "file": {
   "type": "string",
   "description": "FTMO trading-journal CSV text, or the PropLabExport JSON from the MT5 terminal"
  },
  "rules": {
   "type": "string",
   "description": "2STEP_P1 | 2STEP_P2 | 1STEP | TRIAL | FUNDED (default 2STEP_P1)"
  },
  "accountSize": {
   "type": "number",
   "description": "account size, e.g. 10000 (the journal has none)"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "net": 101.61,
  "sumR": 9.31,
  "costly": [
   {
    "id": "swept",
    "sumR": -11.56,
    "title": "Stopped out, then the target was hit within 24h",
    "trades": 9
   }
  ],
  "winRate": 0.459,
  "passOdds": {
   "fresh": 0.73,
   "robust": 0.01,
   "fromNow": 0.78,
   "zeroEdgeTwin": 0.21
  },
  "positions": 61,
  "consistency": {
   "grade": "B",
   "score": 73
  },
  "dashboardUrl": "https://.../quant/prop-report/view/<token>"
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/prop-challenge-lab-trading-journal-analyzer-672c64c5/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from agent-data.centorprat.workers.dev](https://www.zero.xyz/host/agent-data.centorprat.workers.dev/llms.txt)