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ioswarm.io LLM Chat Completion
x402
ioswarm.io LLM Chat Completion is a paid API for AI agents from ioswarm.io, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-11).
Runs a single OpenAI-compatible chat completion (up to 24 messages in, 1024 tokens out) for $0.02 per call with no account or API key required.
Price / call$0.02
Success—
StatusUnknown
How this service works
One language-model completion, paid per call — the same engine the swarm runs on, in the OpenAI messages shape. Up to 24 messages in and 1024 tokens out. USD 0.02 per call, no account, no key.
Output
Returns an OpenAI-shaped chat completion response containing the assistant's generated reply text, produced from the provided conversation messages within the configured token and temperature limits.
Example use cases
Quick one-off AI answer
“I need a quick AI-generated answer — send the message 'What are the top 3 benefits of intermittent fasting?' to the LLM with a system prompt saying 'You are a helpful health advisor', max 300 tokens, temperature 0.5.”
Inline prompt testing during development
“Test this prompt for me: system says 'You are a JSON-only responder', user says 'List 5 world capitals as a JSON array'. Run it with temperature 0 and 512 max tokens and show me what the model returns.”
Multi-turn conversation summarization
“Continue this conversation and get the assistant's next reply — system: 'You are a debate coach', user: 'What is the strongest argument for universal basic income?', assistant: 'The strongest argument is economic security as a floor.', user: 'Now give me the strongest counter-argument.' Use temperature 0.8 and up to 400 tokens.”
Technical details
Endpoint
POSThttps://ioswarm.io/api/v1/x402/chat?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a single, stateless LLM chat completion with no account setup, no API key management, and a flat $0.02 micropayment via x402. It is ideal for agents making occasional or unpredictable LLM calls where OpenAI account overhead is undesirable, or for serverless/anonymous contexts. Prefer a direct OpenAI or Anthropic integration if you need streaming, function calling, vision, or more than 1024 output tokens.
Side effects
- Payment not received or insufficient — call blocked before inference runs
- Message array exceeds 24 items — schema validation error
- max_tokens exceeds 1024 — rejected by schema
- Invalid role value in messages array — validation error
- Network timeout if model inference takes too long
- Empty messages array — required field missing error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| messages | array | OpenAI-shaped conversation; the whole thing is sent as one call. |
| max_tokens | integer | Output cap; default 512. |
| temperature | number |
Tags
x402
Reviews
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Zero review prompt (fires after every successful call)
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