ToolAssay

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

CategorySearch and research
Provider hostx402-agent-tools.nerolabs.workers.dev
Networkseip155:8453
Payment schemesexact
Self-reported calls, 30 days0 from 0 payers (the provider's figure, not ours)

Our checks, last 30 days

DayResultHTTPAskedTime
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"
}

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