Use when an agent needs a quick sentiment read on a passage, a headline or a top
Use when an agent needs a quick sentiment read on a passage, a headline or a topic before acting on it. Returns Sentiment label (positive, negative or neutral) with a confidence and a one-line summary for a text passage or a named topic. $0.05.
Answeringour last check, 2026-09-24
1 of 1checks answered this week
20 msmedian answer time
$0.05listed price per call
$0.05price 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://api.oblique.markets/api/v1/paid/sentiment
| Category | Everything else |
|---|---|
| Provider host | api.oblique.markets |
| Networks | eip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp |
| Payment schemes | exact |
| Self-reported calls, 30 days | 7 from 2 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-09-24 | valid payment request | 402 | $0.05 | 20 ms |
Example input (from the provider)
{
"body": {
"text": "Settlement volume on Base doubled this quarter while prices held.",
"topic": "agent payments"
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"text": {
"description": "Text to score directly",
"type": "string"
},
"topic": {
"description": "Topic to gather and score instead of text",
"type": "string"
}
},
"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": {
"analyzed_at": {
"type": "string"
},
"input": {
"type": "string"
},
"message": {
"type": "string"
},
"model": {
"type": "string"
},
"sentiment": {
"properties": {
"confidence": {
"type": "number"
},
"sentiment": {
"type": "string"
},
"summary": {
"type": "string"
}
},
"type": "object"
}
},
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}