LLM chat completion with no API key or signup (fast open model, meta-llama/llama
LLM chat completion with no API key or signup (fast open model, meta-llama/llama-3.3-70b-instruct). OpenAI-compatible: set your SDK base URL to https://keyless.run/fast/v1. Flat $0.002 per call, up to 1500 output tokens. Charged only on success.
Answeringour last check, 2026-10-10
1 of 1checks answered this week
447 msmedian answer time
$0.002listed price per call
$0.002price 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
POST https://keyless.run/fast/v1/chat/completions
| Category | Market data |
|---|---|
| Provider host | keyless.run |
| Networks | eip155:8453 |
| Payment schemes | exact |
| Self-reported calls, 30 days | 2 from 2 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-10-10 | valid payment request | 402 | $0.002 | 447 ms |
Example input (from the provider)
{
"body": {
"max_tokens": 100,
"messages": [
{
"content": "Say hello in five words.",
"role": "user"
}
]
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"max_tokens": {
"description": "Up to 1500",
"type": "integer"
},
"messages": {
"description": "OpenAI chat-format messages",
"type": "array"
},
"temperature": {
"type": "number"
}
},
"required": [
"messages"
]
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}