Pay-per-call LLM chat completion on Llama 3.3 70B for harder reasoning, no API k
Pay-per-call LLM chat completion on Llama 3.3 70B for harder reasoning, no API key. Same OpenAI-style messages body as /v1/llm. Flat price per request, up to 2k output tokens. Also callable as GET with the same fields as query parameters.
Asked 2.0x its listed price for its own exampleour last check, 2026-10-18
1 of 1checks answered this week
45 msmedian answer time
$0.01listed price per call
$0.02price 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://agents.citiviewgroup.com/v1/llm/large
| Category | Market data |
|---|---|
| Provider host | agents.citiviewgroup.com |
| Networks | eip155:137, eip155:42161, eip155:480, eip155:8453 |
| Payment schemes | exact |
| Self-reported calls, 30 days | 1 from 1 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-10-18 | valid payment request | 402 | $0.02 | 45 ms |
Example input (from the provider)
{
"method": "GET",
"queryParams": {
"prompt": "Compare x402 and MPP in three bullets."
},
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"properties": {
"max_tokens": {
"type": "integer"
},
"prompt": {
"description": "User message",
"type": "string"
},
"system": {
"description": "Optional system message",
"type": "string"
},
"temperature": {
"type": "number"
}
},
"required": [
"prompt"
],
"type": "object"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}