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Data Validation Results - Category Frequencies
x402
Data Validation Results - Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Computes category (rule) frequency counts from a batch of data validation records, returning a descriptive breakdown of how often each rule/category appears across supplied validation results.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data validation results - Category frequencies: Category frequencies for Data validation results. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded category frequencies report.
Output
Returns a bounded category frequencies report listing how many times each unique rule/category label appears across the supplied validation records (up to 200 rows). The output is a local descriptive analytics summary — no enrichment, forecasting, or external data is added.
Example use cases
Data pipeline rule audit
“I have 150 validation log entries from my ETL pipeline — each one has a row ID, a rule name, a date, and how many records were checked vs failed. Can you count up how many times each rule category appears so I can see which checks are firing most often?”
Weekly data quality review
“Here are this week's data validation results across our warehouse tables — about 80 records with rule names and record counts. Can you produce a frequency table showing how many entries belong to each rule category?”
Detecting dominant failure rules
“I've collected validation results from our last data quality run — 200 rows each tagged with a rule like 'duplicate-check' or 'format-check'. Can you tally up the category frequencies so I can see which rules are most represented in the results?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-validation-results-category-counts?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, cheap ($0.01 USDC) local frequency count of validation rule categories from a small batch of validation records (up to 200 rows) without any external enrichment. It is ideal for summarizing data quality audit logs, identifying dominant validation rules, or generating a descriptive category breakdown as part of a larger data governance workflow. Prefer alternatives if you need correlation analysis, outlier detection, elasticity measures, or forecasting.
Side effects
- Empty rows array (minItems:1 violated) returns validation error
- More than 200 rows submitted (maxItems:200 violated) returns rejection
- Malformed date strings not matching YYYY-MM-DD pattern cause schema validation failure
- Missing required fields (row_id, rule, date, checked_records, failed_records) cause request rejection
- Numeric fields outside allowed range cause validation error
- Payment of 0.01 USDC not completed returns 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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