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Stock Bloc – Portfolio Performance Evaluator
x402
Stock Bloc – Portfolio Performance Evaluator is a paid API for AI agents from stockbloc.ai.studio, paid per call via x402, $0.1/call, status unknown (last checked 2026-10-12).
Submits a portfolio's historical performance data and returns quantitative metrics including Sharpe ratio, alpha, max drawdown, annualized return, and benchmark comparison.
Price / call$0.1
Success—
StatusUnknown
How this service works
Financial research API for AI agents: Stock Bloc SEC Analyst (10-K/10-Q/8-K filing analysis), market data, MCP tools, and x402 USDC payments on Base.
Output
Returns a JSON object with: status (success/fail), evaluatedAt timestamp, Sharpe ratio (e.g. 2.65), alpha (e.g. 0.116), max drawdown (e.g. -0.092), annualized return (e.g. 0.428), and benchmark return (e.g. 0.312). These metrics allow agents to objectively assess risk-adjusted performance relative to a benchmark.
Example use cases
AI trading agent self-assessment
“My autonomous trading agent just finished a 12-month run — can you submit its performance data and tell me the Sharpe ratio, alpha, and max drawdown so I know if it's worth deploying with real capital?”
Benchmark comparison for quant strategy
“I've been running a momentum strategy and I want to know how it stacks up against the benchmark — can you calculate the annualized return, alpha, and whether the risk-adjusted returns justify the drawdown?”
Portfolio risk audit before rebalancing
“Before I rebalance my portfolio, can you compute the max drawdown and Sharpe ratio on my current allocation so I understand the historical risk profile?”
Technical details
Endpoint
POSThttps://stockbloc.ai.studio/api/v1/agent/submit-performance?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need quantitative, institutional-grade performance metrics (Sharpe ratio, alpha, drawdown) for a portfolio or trading strategy, especially within an AI agent workflow that supports x402 USDC micropayments. Prefer this over generic analytics if you need benchmark-relative evaluation with a single API call priced at $0.10 USDC.
Side effects
- Missing or malformed performance input data returns an error status
- Insufficient historical data window may produce unreliable metric calculations
- Payment failure via x402/USDC on Base will block the request
- Invalid portfolio data format may result in null metric values
- Network timeout or service unavailability returns no response
Output
Schema · Response
{
"type": "json",
"example": {
"alpha": 0.116,
"status": "success",
"evaluatedAt": "2026-09-29T00:00:00.000Z",
"maxDrawdown": -0.092,
"sharpeRatio": 2.65,
"benchmarkReturn": 0.312,
"annualizedReturn": 0.428
}
}Tags
x402
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