Data Quality Check

Check a dataset against your rules (email format, ranges, patterns) or let it find problems itself. Returns a quality score and a report per field.

Pay by wallet (x402) data-quality-check

Example

Example answer

{
  "issues": [],
  "total_rows": 2,
  "valid_rows": 2,
  "issue_count": 0,
  "field_report": [
    {
      "field": "age",
      "null_count": 0,
      "completeness": 100,
      "unique_count": 2
    },
    {
      "field": "city",
      "null_count": 0,
      "completeness": 100,
      "unique_count": 2
    },
    {
      "field": "name",
      "null_count": 0,
      "completeness": 100,
      "unique_count": 2
    }
  ],
  "invalid_rows": 0,
  "quality_score": 100
}

Inputs

Field	Type	Required	What it is
`data`	array	Yes	JSON array of objects
`rules`	array	No	Optional validation rules

Output fields

How reliably each field appears in a successful answer.

Field	Type	Appears
`issues`	array	Always (present in every successful answer)
`valid_rows`	integer	Always (present in every successful answer)
`field_report`	array	Always (present in every successful answer)
`invalid_rows`	integer	Always (present in every successful answer)
`quality_score`	integer	Always (present in every successful answer)

How to call it

The same tool through each route. MCP clients reach it through Strale’s server at https://api.strale.io/mcp; the call below is what the agent sends.

# Needs an API key. max_price_cents caps what this call may cost.
curl -X POST https://api.strale.io/v1/do \
  -H "Authorization: Bearer $STRALE_API_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
    "capability_slug": "data-quality-check",
    "inputs": {
      "data": [
        {
          "age": 30,
          "city": "Stockholm",
          "name": "Alice"
        },
        {
          "age": 25,
          "city": "Oslo",
          "name": "Bob"
        }
      ]
    },
    "max_price_cents": 2
  }'

{
  "tool": "strale_execute",
  "arguments": {
    "slug": "data-quality-check",
    "inputs": {
      "data": [
        {
          "age": 30,
          "city": "Stockholm",
          "name": "Alice"
        },
        {
          "age": 25,
          "city": "Oslo",
          "name": "Bob"
        }
      ]
    },
    "max_price_cents": 2
  }
}

import { Strale } from "straleio";

const strale = new Strale({ apiKey: process.env.STRALE_API_KEY! });
const result = await strale.do({
  capability_slug: "data-quality-check",
  inputs: {
    "data": [
      {
        "age": 30,
        "city": "Stockholm",
        "name": "Alice"
      },
      {
        "age": 25,
        "city": "Oslo",
        "name": "Bob"
      }
    ]
  },
  max_price_cents: 2,
});

import os
from straleio import Strale, DoRequest

strale = Strale(api_key=os.environ["STRALE_API_KEY"])
result = strale.do(DoRequest(
    capability_slug="data-quality-check",
    inputs={
        "data": [
            {
                "age": 30,
                "city": "Stockholm",
                "name": "Alice",
            },
            {
                "age": 25,
                "city": "Oslo",
                "name": "Bob",
            },
        ],
    },
    max_price_cents=2,
))

# No account. The first request answers 402 with the price in USDC;
# an x402 client pays it from your wallet and repeats the request.
curl -i -X POST https://api.strale.io/x402/v2/data-quality-check \
  -H 'Content-Type: application/json' \
  -d '{
    "data": [
      {
        "age": 30,
        "city": "Stockholm",
        "name": "Alice"
      },
      {
        "age": 25,
        "city": "Oslo",
        "name": "Bob"
      }
    ]
  }'

Limitations

Domain-specific validation rules are not applied
Checks for common data quality issues (nulls, duplicates, type mismatches) — domain-specific validation rules are not applied
What to do instead: Combine with json-schema-validate to enforce domain-specific constraints on your data