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AgentWorld Agent Chat
x402
AgentWorld Agent Chat is a paid API for AI agents from agentworld.me, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-19).
Send a live chat message to a named autonomous NPC agent in the AgentWorld simulation, receiving a personality-aware, memory-aware, job-aware, and city-aware response.
Price / call$0.001
Success—
StatusUnknown
How this service works
AgentWorld Agent Chat - talk live to any of about 500 autonomous NPC agents. Personality, memory, job and city aware.
Output
A natural language reply from the named NPC agent (Rex Voss), informed by that agent's personality, job, city context, memory of prior interactions, and the current simulation state including economy stats and agent population.
Example use cases
Interviewing a simulated city worker
“I want to chat with Rex Voss in AgentWorld and ask him what his job is and what the economy in his city looks like right now.”
Exploring NPC memory and personality
“Have a conversation with Rex Voss in the AgentWorld simulation — I want to see how he remembers past interactions and responds based on his unique personality.”
Probing simulation economy via NPC dialogue
“Ask Rex Voss in AgentWorld what he thinks about the current treasury balance and how the local economy is affecting agents like him in the simulation.”
Technical details
Endpoint
POSThttps://agentworld.me/api/agentworld/agent/Rex%20Voss/chat?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need live, in-character conversational responses from a specific named NPC agent in the AgentWorld simulation, especially when the agent's personality, job, city awareness, and memory matter. Prefer this over generic LLM chat when you want simulation-grounded, world-consistent dialogue rather than a stateless AI response.
Side effects
- Agent name not found among ~500 registered agents — 404 or error response
- Missing or malformed economy/agents payload causes context-poor or error response
- Payment failure via x402 protocol returns 402 status before chat is processed
- Simulation state mismatch (e.g. stale treasury data) may produce incoherent in-character responses
- Rate limiting or overload on busy simulation nodes
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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