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Metadata Completeness — Category Frequencies + Date by Category Pivot
x402
Metadata Completeness — Category Frequencies + Date by Category Pivot 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).
Analyzes metadata completeness records to produce two reports: category-level frequency counts and a date-by-category pivot table, for up to 200 rows of present_fields/expected_fields data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Metadata completeness — Category frequencies + Date by category pivot: Category frequencies + Date by category pivot 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
Returns two analytical reports: (1) a category frequency table showing how often each site_group appears in the dataset, and (2) a date-by-category pivot table showing the selected field metric (present_fields or expected_fields) broken down by date and site_group. Both reports are computed locally on the supplied data with no external lookups.
Example use cases
Audit metadata coverage by site group
“I have metadata completeness records for our content sites — each row has a site_group, a date, how many fields are present, and how many are expected. Can you run a category frequency report and a date-by-category pivot on present_fields so I can see which groups are consistently complete?”
Track completeness trends over time
“Here are 150 rows of metadata completeness data across several site groups from the last quarter. Run me two reports: category frequencies and a date-by-category pivot on expected_fields so I can spot which groups have trending gaps.”
Compare field coverage across data groups
“I want to understand how present_fields vary across my data groups. Can you take these records — each with row_id, site_group, date, present_fields, and expected_fields — and produce a frequency breakdown by category plus a date-pivot table?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-05-110?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous analytical reports — category frequency counts and a date-by-category pivot — on metadata completeness data (present_fields, expected_fields) for up to 200 rows, at a flat cost of $0.01 USDC. It is ideal for lightweight, serverless data quality auditing without needing a full analytics platform. Prefer it over general analytics APIs when your data is already structured with site_group and date dimensions and you want both a frequency and a pivot report in a single call.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, site_group, date, present_fields, expected_fields) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes parsing failure
- Null values in present_fields or expected_fields may affect aggregation results
- Empty rows array rejected due to minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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