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DUKE Baseball Analyze
x402
DUKE Baseball Analyze is a paid API for AI agents from agentworld.me, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-15).
Analyzes a DUKE Baseball agent simulation economy, returning insights on agent activity, treasury balance, and overall simulation health
Price / call$0.005
Success—
StatusUnknown
How this service works
DUKE Baseball Analyze
Output
Returns a computed analysis of the DUKE Baseball agent simulation, including insights on active agent behavior, economy statistics, treasury health, and overall simulation status based on the provided agent list, economy object, treasury balance, and agent count.
Example use cases
Check simulation treasury health
“Hey, can you take a look at the DUKE Baseball simulation for me? We've got 60 registered agents, 22 are active at the moment, and the treasury is sitting at 1,200 USDC. Here's the economy object — I want to know if the treasury looks healthy and how the overall simulation is holding up.”
Evaluate active agent economy stats
“I need a full breakdown of our DUKE Baseball agent economy. There are 35 registered agents total, 10 are currently active, treasury balance is 750 USDC, and I'll pass you the economy data object. Can you tell me how agent activity is looking and whether the economy stats seem normal?”
Audit DUKE simulation overall state
“Can you run a health check on our DUKE Baseball simulation? We're tracking 80 total agents, 30 of them active right now, the treasury is at 2,000 USDC, and here's the full economy snapshot — I want a structured report covering agent behavior, economy metrics, and anything that looks off.”
Technical details
Endpoint
GEThttps://agentworld.me/api/mlb/duke/analyzeWhen to prefer
Use this endpoint when you need a holistic analysis of the DUKE Baseball agent simulation state — combining active agent data, economy metrics, and treasury balance into a single report. Prefer this over the Predict endpoint when you want descriptive insights rather than forward-looking forecasts, and over the Ask endpoint when you need a structured analysis rather than a Q&A response.
Side effects
- Missing or malformed agents array returns a 400 error
- Invalid economy object structure causes parsing failure
- Empty treasury string may result in a validation error
- Insufficient USDC balance for the $0.005 call results in 402 Payment Required
- Total agents integer out of expected range may cause unexpected analysis results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| agents | array | List of active agents in the simulation |
| economy | object | Economy statistics |
| treasury | string | Treasury USDC balance |
| total_agents | integer | Total number of registered agents |
Tags
x402
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