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Metadata Completeness Analyzer — Numeric Distribution & Category Frequencies
x402
Metadata Completeness Analyzer — Numeric Distribution & 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 2026-10-26).
Computes numeric distribution statistics and category frequency breakdowns for metadata completeness records (present_fields, expected_fields) across up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Metadata completeness — Numeric distribution + Category frequencies: Numeric distribution + Category frequencies for supplied metadata completeness records (present_fields, expected_fields). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Two independent analytical reports: (1) a numeric distribution report covering statistics such as min, max, mean, median, and spread for the selected numeric field (present_fields or expected_fields); (2) a category frequency breakdown showing how values group across the site_group dimension. Both reports are computed locally on the supplied rows (up to 200) with no external data lookups.
Example use cases
Dataset metadata audit across site groups
“I have 150 metadata completeness records from three site groups over the past month — each row has a row_id, site_group, date, how many fields are present, and how many were expected. Can you give me the numeric distribution and category frequency breakdown for the present_fields so I can see where coverage is weakest?”
Expected fields coverage check
“Here are 80 records showing expected_fields counts per site group across Q3 — can you run the numeric distribution and category frequency reports on the expected_fields column so I can understand how our field expectations vary across groups?”
Spot-check completeness for a single day's batch
“I've got 40 metadata records all dated 2025-06-15 across different site groups, each with present_fields and expected_fields values. Run me a numeric distribution and a category frequency analysis on present_fields so I can flag any outliers before we ship.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-05-072?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw metadata completeness records (with present_fields and expected_fields counts) and need both a numeric distribution summary and a category frequency breakdown in a single low-cost call. It is best suited for batch analytical reporting on up to 200 rows, with no need for live data lookup, predictions, or external integrations. Prefer it over generic analytics tools when your data is already structured per the schema and you want a fast, cheap, self-contained statistical report.
Side effects
- Fewer than 1 row submitted — returns validation error
- More than 200 rows submitted — exceeds row limit, returns error
- Missing required fields (row_id, site_group, date, present_fields, expected_fields) in any row — row rejected or error returned
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Field selector not in enum ['present_fields','expected_fields'] — schema validation error
- Null values in numeric fields may affect distribution statistics
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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