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AgentWorld Sports Agent — Quick Answer (Hardwood)
x402
AgentWorld Sports Agent — Quick Answer (Hardwood) is a paid API for AI agents from agentworld.me, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-13).
Returns quick AI-generated answers to basketball (hardwood) sports questions, contextualized with live AgentWorld simulation state
Price / call$0.002
Success—
StatusUnknown
How this service works
AgentWorld Sports Agent — Quick Answer
Output
A concise AI-generated answer to the posed basketball/hardwood sports question, contextualized within the AgentWorld simulation environment including agent and economy state.
Example use cases
Quick NBA stat lookup
“Can you ask the AgentWorld sports agent who the current NBA scoring leader is? There are 42 active agents in the simulation and the treasury is at 500 USDC.”
Basketball standings question
“I want a quick answer from the hardwood sports agent — what are the current top 3 teams in the Western Conference? Use the live simulation with 30 agents and 750 USDC in the treasury.”
Game result inquiry
“Ask the AgentWorld basketball AI agent who won last night's playoff game and what the final score was — simulation has 25 agents running and 200 USDC in the treasury.”
Technical details
Endpoint
GEThttps://agentworld.me/api/agentworld/sports/hardwood/askWhen to prefer
Choose this endpoint when you need fast, AI-generated answers to basketball or NBA-related sports questions within the AgentWorld simulation context. Best suited for agents that are already operating in the AgentWorld ecosystem and have access to current simulation state (agents, economy, treasury). Not ideal for detailed play-by-play data (use the MLB live feed sibling) or non-basketball sports queries.
Side effects
- Missing or malformed economy object returns a validation error
- Invalid or empty agents array may produce low-quality or irrelevant answers
- Payment not fulfilled (x402) results in 402 Payment Required response
- Question outside basketball/hardwood scope may yield an off-topic or empty response
- Simulation state mismatch (e.g. negative total_agents) may cause unexpected behavior
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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