Market & brand sentiment for any keyword, brand, ticker or product
Market & brand sentiment for any keyword, brand, ticker or product: analyses the sentiment of web & news content mentioning it and returns an overall label (positive/negative/neutral/mixed), a net sentiment score (-1..1), positive/negative/neutral shares and an emotion breakdown (anger, happiness, love, sadness, fun).
Answeringour last check, 2026-09-24
1 of 1checks answered this week
981 msmedian answer time
$0.04listed price per call
$0.04price 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://sentiment.openverbs.com/v1/sentiment
| Category | Commerce and shopping |
|---|---|
| Provider host | sentiment.openverbs.com |
| Networks | eip155:8453 |
| Payment schemes | exact |
| Self-reported calls, 30 days | 4 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 | $0.04 | 981 ms |
Example input (from the provider)
{
"body": {
"keyword": "example"
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"additionalProperties": false,
"properties": {
"keyword": {
"description": "Brand, ticker, product or topic to gauge sentiment for, e.g. \"tesla\", \"bitcoin\", \"nvidia rtx\".",
"maxLength": 200,
"minLength": 1,
"type": "string"
}
},
"required": [
"keyword"
],
"type": "object"
},
"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"
}