Applies one plain-English AI instruction to every row of a JSON list (up to 50 r
Applies one plain-English AI instruction to every row of a JSON list (up to 50 rows), such as classify, extract, summarise or score, with {{field}} placeholders, and returns the new columns you define in outputFields for each row. Uses Claude Haiku. $0.002 per row. Runs nerolabs/dataset-ai-enrich.
Answeringour last check, 2026-10-21
1 of 1checks answered this week
39 msmedian answer time
$0.002listed price per call
$0.002price 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://x402-agent-tools.nerolabs.workers.dev/ai/enrich
| Category | Search and research |
|---|---|
| Provider host | x402-agent-tools.nerolabs.workers.dev |
| Networks | eip155:8453 |
| Payment schemes | exact |
| Self-reported calls, 30 days | 0 from 0 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-10-21 | valid payment request | 402 | $0.002 | 39 ms |
Example input (from the provider)
{
"body": {
"data": [
{
"id": 1,
"review": "Battery life is fantastic but the case feels cheap."
}
],
"outputFields": [
{
"description": "positive, neutral or negative",
"name": "sentiment",
"type": "string"
}
],
"prompt": "Classify the sentiment of this review: {{review}}"
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"additionalProperties": false,
"properties": {
"data": {
"description": "A JSON array of records to enrich, for ad-hoc data instead of a dataset ID or file URL.",
"type": "array"
},
"includeOriginalFields": {
"default": true,
"description": "On (default): each output row is the original row plus the new columns. Off: only the new columns (plus aiModel/aiError).",
"type": "boolean"
},
"outputFields": {
"description": "The new columns the model must fill in for every row, as a JSON list of {\"name\", \"type\", \"description\"}. Types: string (default), number, boolean, array, object. The description tells the model exactly what goes in the column (allowed values, units, language). Leave empty to get one free-text column",
"type": "array"
},
"prompt": {
"description": "Plain-English instruction applied to each row on its own. Use {{field}} placeholders to insert that row's values (dotted paths like {{address.city}} work). Only the fields you reference are sent to the model; if you reference none, every field is sent. Examples: classify, extract a value, score 1 to",
"type": "string"
},
"skipIfEmpty": {
"default": true,
"description": "On (default): a row with nothing in any {{field}} the instruction uses is written out with 'aiSkipped: true' and never sent to the model or charged.",
"type": "boolean"
},
"systemPrompt": {
"description": "Optional background the model should know for every row: your industry, the categories you use, the language to answer in, edge-case rules.",
"type": "string"
}
},
"required": [
"data",
"prompt"
],
"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"
}