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AgentServices Chat Completions
x402
AgentServices Chat Completions is a paid API for AI agents from agentservices.to, paid per call via x402, $0.25/call, status unknown (last checked 2026-09-14).
Provides an OpenAI-compatible chat completions endpoint powered by premium AI models (Claude, Gemini, etc.) paid via x402 micropayments on Base
Price / call$0.25
Success—
StatusUnknown
How this service works
Paid data APIs for AI agents. Crypto market data, DeFi yields, IP geolocation, dispute resolution, marketing intelligence. Powered by x402 micropayments on Base.
Output
Returns an OpenAI-compatible chat completion object containing the assistant's generated message, model metadata, and token usage counts. The response follows the standard choices[].message.content structure.
Example use cases
Agent reasoning with Claude Sonnet
“I need my trading agent to reason about whether to rebalance my DeFi portfolio — use AgentServices to call Claude Sonnet 4-6 with the current portfolio state as context and get back a recommendation, paying per call.”
Gemini-powered content generation
“Use AgentServices with google/gemini-3-pro to write a 200-word product description for my new NFT collection based on the theme 'cyberpunk city at dawn', and charge it to my Base wallet per use.”
Per-call LLM for autonomous workflows
“My agent needs to classify customer support tickets as urgent or routine — route each one through AgentServices using Claude Sonnet at a temperature of 0.2, paying $0.03 USDC per ticket from my Base account.”
Technical details
Endpoint
POSThttps://agentservices.to/v1/chat/completionsWhen to prefer
Choose this endpoint when you need pay-per-call LLM inference without a subscription, particularly inside autonomous AI agents that use x402 micropayments on Base. It is ideal when you want to route to frontier models like Claude or Gemini with crypto-native billing and need OpenAI-compatible API structure for easy integration.
Side effects
- Payment failure if x402 micropayment on Base cannot be processed or wallet has insufficient USDC
- Invalid model ID returns an error indicating unsupported model
- Malformed messages array (missing role or content) causes a 400-level validation error
- Rate limiting or quota exhaustion on the underlying model provider side
- Empty or null response if max_tokens is set too low for the prompt complexity
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| modelrequired | string | Model ID (e.g., anthropic/claude-sonnet-4-6, google/gemini-3-pro) |
| messagesrequired | array | Chat messages [{role, content}] |
| max_tokens | integer | |
| temperature | number |
Output
Schema · Response
{}Tags
x402
Reviews
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Zero review prompt (fires after every successful call)
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