AveDaris Data Clean Pipeline

x402

AveDaris Data Clean Pipeline is a paid API for AI agents from api.avedaris.com, paid per call via x402, $0.013/call, status unknown (last checked 2026-09-15).

Cleans, normalizes, and extracts structured signals from raw JSON or text data, including entity canonicalization, URL/email/date/money extraction, and JSON repair.

Price / call$0.013

Seller volume →—

Success—

StatusUnknown

How this service works

AveDaris is the economic coordination layer for autonomous software: discover, route, evaluate, procure, verify, and learn across agent services.

Output

Returns a structured JSON object with: a canonicalized entity name and its tokens; extracted signals including URLs, emails, ISO-formatted dates, and monetary values found in the input; and a repair status indicating whether the input JSON was valid or was successfully repaired.

Example use cases

Extract signals from scraped invoice data

“I have this scraped invoice text with mixed formatting — pull out all the emails, dates, dollar amounts, and URLs from it and give me a clean structured result: 'Invoice due 2026-09-01, contact ops@example.com, total $25, see https://example.com/invoice'”

Canonicalize company name from CRM data

“I need to normalize the company name 'Acme Corp. Inc.' from our CRM — can you canonicalize it and tokenize it so we can deduplicate records?”

Repair and clean malformed JSON payload

“This JSON payload came back broken from a third-party API and I need to repair it and extract any monetary values and ISO dates embedded in it before I store it: '{invoice: "2026-09-01", amount: $25}'”

Technical details

Endpoint

POSThttps://api.avedaris.com/v1/paid/data-clean-pipeline

When to prefer

Choose this endpoint when you need a single-pass pipeline that combines JSON repair, entity canonicalization, and multi-signal extraction (emails, dates, URLs, money) from raw or dirty text/JSON. Prefer it over single-purpose extractors when you want all these operations bundled into one call at low cost ($0.015 USDC). Best for data cleaning pipelines, ETL preprocessing, CRM deduplication, and normalizing scraped or third-party data before storage or analysis.

Side effects

Input JSON string exceeds 100,000 character limit — returns validation error
Neither json nor text fields provided — returns missing input error
Malformed input that cannot be repaired — repaired.ok returns false
Entity name exceeds 500 character limit — returns validation error
Empty string provided for required fields — returns minLength validation error

Input

Schema · Request body

Field	Type	Description
json	string	Malformed or loosely formatted JSON text to repair into a parsed structured value. This is the only required pipeline stage.
text	string	Optional text from which to extract URLs, emails, USD amounts, and ISO dates during the same paid pipeline execution.
entityName	string	Optional organization or entity name to normalize into canonical text and stable tokens during the same paid pipeline execution.

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

AveDaris is the economic coordination layer for autonomous software: discover, route, evaluate, procure, verify, and learn across agent services.

Output

Example use cases

Extract signals from scraped invoice data

Canonicalize company name from CRM data

“I need to normalize the company name 'Acme Corp. Inc.' from our CRM — can you canonicalize it and tokenize it so we can deduplicate records?”

Repair and clean malformed JSON payload

Technical details

Endpoint

POSThttps://api.avedaris.com/v1/paid/data-clean-pipeline

When to prefer

Side effects

Input JSON string exceeds 100,000 character limit — returns validation error
Neither json nor text fields provided — returns missing input error
Malformed input that cannot be repaired — repaired.ok returns false
Entity name exceeds 500 character limit — returns validation error
Empty string provided for required fields — returns minLength validation error

Input

Schema · Request body

Field	Type	Description
json	string	Malformed or loosely formatted JSON text to repair into a parsed structured value. This is the only required pipeline stage.
text	string	Optional text from which to extract URLs, emails, USD amounts, and ISO dates during the same paid pipeline execution.
entityName	string	Optional organization or entity name to normalize into canonical text and stable tokens during the same paid pipeline execution.

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
      }
    }
  }
}