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Metadata Completeness — Category Frequencies + Adjacent Row Changes
x402
Metadata Completeness — Category Frequencies + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).
Analyzes metadata completeness records (present_fields, expected_fields) to produce two reports: category frequency distributions and adjacent row change calculations, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Metadata completeness — Category frequencies + Adjacent row changes: Category frequencies + Adjacent row changes 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 for the submitted rows: (1) category frequencies showing how often each site_group category appears, and (2) adjacent row changes showing the difference in the selected field (present_fields or expected_fields) between consecutive rows. No external lookups or predictions are made; all analysis is performed locally on the supplied data.
Example use cases
Site group completeness frequency audit
“I have metadata records across two site groups collected daily for the past month — each row has a row_id, date, site_group, present_fields, and expected_fields. Can you run a category frequency report and show me adjacent row changes for present_fields across all of them?”
Tracking field presence deltas over time
“I need to see how expected_fields changes from one row to the next in my metadata completeness log — I've got about 80 rows with dates, row IDs, site groups, and the field counts. Can you run the adjacent row changes report alongside the category frequencies for expected_fields?”
Multi-group metadata quality summary
“We're auditing metadata completeness across group-a and group-b for Q3 — I have 120 records with present_fields and expected_fields per date. Can you give me the category frequency distribution and the adjacent row change analysis so I can spot patterns and gaps?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-05-104?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two combined analytical views — category frequency counts and sequential row-to-row deltas — on metadata completeness data (present vs expected fields) in a single $0.01 call. It is ideal for lightweight, local batch analytics on up to 200 rows without needing a full analytics platform. Prefer this over general-purpose analytics APIs when your data is already structured with site_group, date, and field count columns and you want both distribution and change-detection reports in one response.
Side effects
- More than 200 rows submitted — request exceeds maximum row limit
- Missing required fields (row_id, site_group, date, present_fields, or expected_fields) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema rejection
- Null values in present_fields or expected_fields may affect adjacent change calculations
- Invalid field enum value (must be 'present_fields' or 'expected_fields') — schema rejection
- Payment of 0.01 USDC not provided or rejected — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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