Agent Utility Network Data Clean Pipeline

x402

Agent Utility Network Data Clean Pipeline is a paid API for AI agents from agent-utility-network.frosty-sound-4560.workers.dev, paid per call via x402, $0.015/call, status unknown (last checked 2026-09-15).

Cleans, repairs, and extracts structured signals from raw JSON or text data, normalizing entity names and surfacing embedded URLs, money values, emails, and dates.

Price / call$0.015

Seller volume →—

Success—

StatusUnknown

How this service works

Quality-scored paid utility APIs for AI agents over x402 on Base USDC.

Output

Returns a JSON object with three sections: 'entity' (canonical name and tokens), 'signals' (arrays of extracted URLs, money values, emails, and ISO dates found in the input), and 'repaired' (a boolean ok flag indicating whether JSON repair succeeded).

Example use cases

Normalize CRM entity names

“I have a bunch of messy company name strings like 'Apple Inc.', 'apple inc', 'APPLE INCORPORATED' — can you run them through a cleaner to get canonical tokens and a normalized name for each?”

Extract signals from scraped contract text

“I scraped this contract page and I need you to pull out all the dollar amounts, email addresses, ISO dates, and URLs buried in this raw text blob: 'Payment of $25,000 due 2026-09-01, contact legal@example.com, see https://example.com/contract for details.'”

Repair and clean malformed API response JSON

“This API returned broken JSON that won't parse — can you send it through a repair pipeline and give me back clean, valid structured JSON? Here it is: '{name: "Acme", value: 99,}'”

Technical details

Endpoint

POSThttps://agent-utility-network.frosty-sound-4560.workers.dev/v1/paid/data-clean-pipeline

When to prefer

Choose this endpoint when you need a combined data cleaning, entity normalization, and signal extraction pass over raw or messy text/JSON in a single call — especially when the input may be malformed JSON that needs repair alongside extraction of emails, dates, money values, and URLs. Prefer over separate NLP or JSON-linting tools when you want one micropayment call that handles the full pipeline.

Side effects

Input JSON string exceeds 100,000 character limit — request rejected
Both json and text fields are missing or empty — validation error
Malformed input that cannot be repaired returns repaired.ok: false
Entity name exceeds 500 characters — validation error
Payment failure via x402 results in 402 response before processing begins

Input

Schema · Request body

Field	Type	Description
json	string
text	string
entityName	string

Output

Schema · Response

{
  "type": "json",
  "example": {
    "result": {
      "entity": {
        "tokens": [
          "example"
        ],
        "canonical": "example"
      },
      "signals": {
        "urls": [],
        "money": [
          "$25"
        ],
        "emails": [
          "ops@example.com"
        ],
        "isoDates": [
          "2026-09-01"
        ]
      },
      "repaired": {
        "ok": true
      }
    }
  }
}

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How this service works

Quality-scored paid utility APIs for AI agents over x402 on Base USDC.

Output

Example use cases

Normalize CRM entity names

“I have a bunch of messy company name strings like 'Apple Inc.', 'apple inc', 'APPLE INCORPORATED' — can you run them through a cleaner to get canonical tokens and a normalized name for each?”

Extract signals from scraped contract text

Repair and clean malformed API response JSON

“This API returned broken JSON that won't parse — can you send it through a repair pipeline and give me back clean, valid structured JSON? Here it is: '{name: "Acme", value: 99,}'”

Technical details

Endpoint

POSThttps://agent-utility-network.frosty-sound-4560.workers.dev/v1/paid/data-clean-pipeline

When to prefer

Side effects

Input JSON string exceeds 100,000 character limit — request rejected
Both json and text fields are missing or empty — validation error
Malformed input that cannot be repaired returns repaired.ok: false
Entity name exceeds 500 characters — validation error
Payment failure via x402 results in 402 response before processing begins

Input

Schema · Request body

Field	Type	Description
json	string
text	string
entityName	string

Output

Schema · Response

{
  "type": "json",
  "example": {
    "result": {
      "entity": {
        "tokens": [
          "example"
        ],
        "canonical": "example"
      },
      "signals": {
        "urls": [],
        "money": [
          "$25"
        ],
        "emails": [
          "ops@example.com"
        ],
        "isoDates": [
          "2026-09-01"
        ]
      },
      "repaired": {
        "ok": true
      }
    }
  }
}