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Metadata Completeness Duplicate Key Report + Grouped Numeric Summary
x402
Metadata Completeness Duplicate Key Report + Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Analyzes metadata completeness records (present_fields, expected_fields) to produce a duplicate key report and a grouped numeric summary, covering up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Metadata completeness — Duplicate key report + Grouped numeric summary: Duplicate key report + Grouped numeric summary 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 independent analytical reports: (1) a duplicate key report identifying repeated row_ids across the submitted rows, and (2) a grouped numeric summary of the chosen field (present_fields or expected_fields) aggregated by site_group, including statistics like counts, sums, min, max, and averages. No external data is fetched; all analysis is performed locally on the supplied rows.
Example use cases
Audit metadata completeness across site groups
“I've got 80 metadata completeness records for our content sites — each has a row_id, site_group, date, present_fields, and expected_fields. Can you check for any duplicate row IDs and give me a grouped numeric summary of present_fields broken down by site group?”
Detect duplicate keys in pipeline metadata
“Our data pipeline produces a daily metadata log with row IDs, groups, and field counts. Can you run a duplicate key check plus a grouped numeric summary on expected_fields for these 120 records so I can catch any double-processing issues?”
Summarize field coverage by category
“I have metadata completeness records from three different site groups — around 150 rows total with present_fields and expected_fields values. Please give me a duplicate key report and a grouped summary of present_fields across those groups so I can see which groups have the best coverage.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-05-056?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a duplicate key check and a grouped numeric summary on metadata completeness data (present_fields/expected_fields) in a single low-cost call. It is ideal for data quality audits on batch metadata exports of up to 200 rows where no external lookups or predictions are needed — just fast, local analytical computation on supplied data.
Side effects
- Fewer than 1 or more than 200 rows submitted — validation error
- Missing required fields (row_id, site_group, date, present_fields, expected_fields) on any row — schema error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- present_fields or expected_fields outside allowed numeric range — validation error
- Invalid field selector value not in enum ['present_fields','expected_fields'] — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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