Stock Bloc – Evaluate Investment Strategy

x402

Stock Bloc – Evaluate Investment Strategy 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).

Evaluates an investment or trading strategy and returns quantitative performance metrics including Sharpe ratio, annualized return, alpha, max drawdown, and benchmark comparison.

Price / call$0.1

Seller volume →—

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/failure), evaluatedAt (ISO timestamp), sharpeRatio (risk-adjusted return metric), annualizedReturn (e.g. 0.428 = 42.8%), alpha (excess return over benchmark, e.g. 0.116), maxDrawdown (peak-to-trough loss, e.g. -0.092), and benchmarkReturn (e.g. 0.312 = 31.2%).

Example use cases

Quant strategy risk-return assessment

“Run my mean-reversion equity strategy through Stock Bloc's evaluate-strategy endpoint and tell me the Sharpe ratio, alpha, max drawdown, and how the annualized return compares to the benchmark.”

Portfolio manager performance review

“I want to evaluate the long-short strategy I've been running — can you send it to Stock Bloc and get back the annualized return, benchmark return, and maximum drawdown so I can decide whether to scale it up?”

Backtesting a new algorithmic approach

“Before I deploy this trend-following algorithm, evaluate it with Stock Bloc and show me whether the Sharpe ratio is above 2 and what the alpha looks like relative to benchmark.”

Technical details

Endpoint

POSThttps://stockbloc.ai.studio/api/v1/agent/evaluate-strategy?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need quantitative performance metrics — Sharpe ratio, alpha, max drawdown, annualized return — for a defined investment or trading strategy, especially in an AI agent workflow that can handle x402 USDC micropayments on Base. Prefer this over generic financial data endpoints when strategy evaluation and benchmarking are the primary goal.

Side effects

Missing or malformed required 'input' field returns validation error
Invalid bodyType enum value causes request rejection
Strategy parameters not parseable by the engine may return empty or null metrics
Payment failure via x402/USDC prevents execution
Network timeout on complex strategy evaluation
Unsupported HTTP method other than POST/PUT/PATCH

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

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
  }
}

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