Generate one bounded assistant response with the operator's self-hosted Ollama m
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.
Answeringour last check, 2026-09-24
1 of 1checks answered this week
44 msmedian answer time
$0.01listed price per call
$0.01price 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://fetchharbor.benlab.download/chat
| Category | Market data |
|---|---|
| Provider host | fetchharbor.benlab.download |
| Networks | eip155:8453 |
| Payment schemes | exact |
| Self-reported calls, 30 days | 3 from 1 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-09-24 | valid payment request | 402 | $0.01 | 44 ms |
Example input (from the provider)
{
"body": {
"message": "Explain this topic briefly."
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"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"
}