← The evidence ledger
Evidence row 124871
Observed , by baseline/1.
- Kind
- listing
- About
- source_record x402_bazaar:https://x402-agent-tools.nerolabs.workers.dev/ai/enrich
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- 57cef17825ec3835018e32e6e710634e7e6bf3fc9d1419ce85ab38c016f8ec59
- Leaf
- 0x32b7e4776dbd7e63de4782572de39646353a05d4fb6d3164edc3921b0adc8e1a
What was observed
{
"endpoints": [
[
"x402",
"https://x402-agent-tools.nerolabs.workers.dev/ai/enrich"
]
],
"name": "Nero Labs Agent Tools",
"owner_address": "0xa969a3127dcc74b2989a4b4e45ae61b81093164a",
"raw": {
"accepts": [
{
"amount": "2000",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"maxTimeoutSeconds": 300,
"network": "eip155:8453",
"payTo": "0xA969a3127DcC74B2989a4b4e45Ae61B81093164A",
"scheme": "exact"
}
],
"description": "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. $0.002 per row. Runs nerolabs/dataset-ai-enrich.",
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"data": [
{
"id": 1,
"review": "Battery life is fantastic but the case feels cheap."
}
],
"outputFields": [
{
"description": "positive, neutral or negative",
"name": "sentiment",
"type": "string"
}
],
"prompt": "Classify the sentiment of this review: {{review}}"
},
"bodyType": "json",
"method": "POST",
"type": "http"
},
"output": {
"example": {
"_example_note": "Real output, trimmed: long lists cut to their first items, fields and text shortened.",
"count": 1,
"rows": [
{
"aiError": null,
"aiModel": "anthropic/claude-haiku-4.5",
"id": 1,
"review": "Battery life is fantastic but the case feels cheap.",
"sentiment": "neutral"
}
]
},
"type": "json"
}
},
"schema": {
"$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": {
"properties": {
"_example_note": {
"type": "string"
},
"count": {
"type": "number"
},
"rows": {
"items": {
"properties": {
"aiError": {},
"aiModel": {
"type": "string"
},
"id": {
"type": "number"
},
"review": {
"type": "string"
},
"sentiment": {
"type": "string"
}
},
"type": "object"
},
"type": "array"
}
},
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}
}
},
"iconUrl": "https://res.cloudinary.com/bdb-prod/image/upload/c_fill,ar_1:1,w_256,h_256,f_auto,q_auto/v1792616069/bazaar-icons/0a5b056fde952fc0.png",
"lastUpdated": "2026-10-25T12:54:19.891Z",
"quality": {
"l30DaysTotalCalls": 4,
"l30DaysUniquePayers": 3,
"lastCalledAt": "2026-10-25T12:54:19.391Z"
},
"resource": "https://x402-agent-tools.nerolabs.workers.dev/ai/enrich",
"serviceName": "Nero Labs Agent Tools",
"tags": [
"ai",
"llm",
"classify",
"enrichment",
"bulk"
],
"type": "http",
"x402Version": 2
},
"source": "x402_bazaar",
"summary": "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."
}What the leaf hashes
{"body":"57cef17825ec3835018e32e6e710634e7e6bf3fc9d1419ce85ab38c016f8ec59","id":124871,"kind":"listing","method":"baseline/1","observed_us":1793025625372043,"prev":null,"subject":"x402_bazaar:https://x402-agent-tools.nerolabs.workers.dev/ai/enrich","subject_kind":"source_record"}Proof
Its day has not closed yet. A day closes ten minutes after midnight UTC; the proof appears here then.