Generate one bounded assistant response with the operator's self-hosted Ollama model
Generate one bounded assistant response with the operator's self-hosted Ollama model. Use for short, single-message inference where local processing is preferred. Accepts up to 8,000 characters and returns the model name, response text, and token counts when Ollama supplies them.
10000 (raw units)
price
4
calls / 30d
2
unique payers
2026-09-05
updated
Provider
fetchharbor.benlab.download · discovered, not yet claimed by its owner
Payment (x402 accepts[])
[
{
"scheme": "exact",
"network": "eip155:8453",
"payTo": "0xAED4a496Fed1132b94C0A5f9Fb5eE7cf63D869C2",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"amount": "10000",
"maxTimeoutSeconds": 300
}
]Output schema
{
"bazaar": {
"info": {
"input": {
"body": {
"message": "Explain this topic briefly."
},
"bodyType": "json",
"method": "POST",
"type": "http"
},
"output": {
"example": {
"model": "llama3.2:3b",
"prompt_tokens": 14,
"response": "Hello! How can I help?",
"response_tokens": 8,
"status": "success"
},
"type": "json"
}
},
"schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"additionalProperties": false,
"properties": {
"message": {
"maxLength": 8000,
"minLength": 1,
"type": "string"
}
},
"required": [
"message"
],
"type": "object"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST",
"PUT",
"PATCH"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"additionalProperties": false,
"properties": {
"model": {
"type": "string"
},
"prompt_tokens": {
"minimum": 0,
"type": [
"integer",
"null"
]
},
"response": {
"type": "string"
},
"response_tokens": {
"minimum": 0,
"type": [
"integer",
"null"
]
},
"status": {
"const": "success",
"type": "string"
}
},
"required": [
"status",
"model",
"response",
"prompt_tokens",
"response_tokens"
],
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}
}
}Use it
curl
curl "https://fetchharbor.benlab.download/chat" # -> 402 Payment Required, accepts[] lists how to pay # retry with a PAYMENT-SIGNATURE (or PAYMENT header) once paid
JavaScript
const res = await fetch("https://fetchharbor.benlab.download/chat");
if (res.status === 402) {
const { accepts } = await res.json();
// pay one of accepts[] via an x402 client, then retry with the payment header
}Python
import httpx
res = httpx.get("https://fetchharbor.benlab.download/chat")
if res.status_code == 402:
accepts = res.json()["accepts"]
# pay one of accepts[] via an x402 client, then retry with the payment headerMachine-readable
Everything on this page is also available as clean JSON at /resources/7471.json, and this resource appears in /discovery/resources and /discovery/search.