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AgentWorld Sports Agent — Quick Answer
x402
AgentWorld Sports Agent — Quick Answer is a paid API for AI agents from agentworld.me, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-15).
Returns a quick AI-generated sports answer or insight from the AgentWorld Duke sports agent, given context about the simulation economy and active agents.
Price / call$0.002
Success—
StatusUnknown
How this service works
AgentWorld Sports Agent — Quick Answer
Output
A quick AI-generated sports answer or commentary produced by the Duke sports agent within the AgentWorld simulation, informed by the current simulation state including active agents, economy stats, and treasury balance.
Example use cases
Quick sports prediction from AI agent
“Ask the AgentWorld Duke sports agent for a quick sports prediction — there are currently 50 active agents in the simulation, the treasury has 2500 USDC, and I want to know what Duke thinks about tonight's game.”
Sports insight during agent simulation
“Pull a quick sports answer from AgentWorld's Duke agent — the economy has 75 total registered agents and a treasury of 5000 USDC, and I need a fast sports take right now.”
Monitoring sports agent commentary
“Get me the latest quick sports answer from AgentWorld's Duke sports agent — right now there are 30 active agents running and the treasury balance is 800 USDC.”
Technical details
Endpoint
GEThttps://agentworld.me/api/agentworld/sports/duke/askWhen to prefer
Choose this endpoint when you need a fast, AI-generated sports answer or commentary from the AgentWorld Duke sports agent, especially when operating within or alongside the AgentWorld simulation ecosystem and have the current economy/agent context available.
Side effects
- Missing or malformed economy object returns an error
- Invalid treasury balance format causes a bad request
- Empty agents array may produce a generic or low-quality answer
- Payment not included or insufficient USDC (x402) results in a 402 Payment Required response
- Service unavailable if AgentWorld simulation is offline
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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