LLM chat completions
LLM chat completions. Send a prompt, get an answer from Llama 3.1 8B Instruct, with an optional system prompt, up to 1,024 output tokens and adjustable temperature. Use for drafting, reasoning steps, Q&A and any quick LLM call without an AI provider account. For harder reasoning use ai_chat_large.
Not tested: has real-world effectsour last check, 2026-10-24
0 of 0checks answered this week
n/amedian answer time
$0.002listed price per call
n/aprice it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
GET https://agent-data-tools.revmesh2074.workers.dev/ai/chat
| Category | Market data |
|---|---|
| Provider host | agent-data-tools.revmesh2074.workers.dev |
| Networks | eip155:137, eip155:42161, eip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp |
| Payment schemes | exact |
| Self-reported calls, 30 days | 4 from 2 payers (the provider's figure, not ours) |
Our checks, last 30 days
We never call tools that send, buy, move money or file anything, not even without paying.
Example input (from the provider)
{
"method": "GET",
"queryParams": {
"prompt": "Explain x402 in one sentence."
},
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"properties": {
"maxTokens": {
"description": "Maximum output tokens, 1-1024 (default 400)",
"examples": [
200
],
"type": "integer"
},
"prompt": {
"description": "User prompt, up to 8,000 characters",
"examples": [
"Explain x402 in one sentence."
],
"type": "string"
},
"system": {
"description": "Optional system prompt, up to 2,000 characters",
"examples": [
"You are a concise assistant."
],
"type": "string"
},
"temperature": {
"description": "0-1.5 (default 0.6)",
"examples": [
0.6
],
"type": "number"
}
},
"required": [
"prompt"
],
"type": "object"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"properties": {
"model": {
"type": "string"
},
"response": {
"type": "string"
}
},
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}