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Metadata Completeness — Adjacent Row Changes + Keyed Dataset Comparison
x402
Metadata Completeness — Adjacent Row Changes + Keyed Dataset Comparison 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 by computing adjacent row changes and performing a keyed dataset comparison between two supplied datasets, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Metadata completeness — Adjacent row changes + Keyed dataset comparison: Adjacent row changes + Keyed dataset comparison 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) an adjacent row changes report showing delta values between consecutive rows for the selected field (present_fields or expected_fields), and (2) a keyed dataset comparison report highlighting differences between the primary and secondary supplied datasets matched by row key. All analysis is performed on the supplied data with no external lookups.
Example use cases
Daily metadata completeness drift detection
“I've got a time series of metadata completeness rows for our data pipeline — each row has a date, site_group, present_fields, and expected_fields. Can you run the adjacent row changes report on present_fields so I can see where completeness dropped or jumped day over day?”
Before-and-after dataset comparison after ingestion fix
“We applied a metadata fix to our ingestion pipeline and I have two datasets — one before and one after, each keyed by row_id, site_group, and date. Can you compare them and tell me where expected_fields or present_fields changed between the two snapshots?”
Cross-site-group completeness audit
“I want to audit metadata completeness across our site groups. I've got up to 150 rows with row_id, site_group, date, present_fields, and expected_fields. Please run both the adjacent row change analysis and the keyed comparison against a baseline dataset I'll provide, focusing on expected_fields.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-05-161?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need simultaneous adjacent row change detection AND keyed dataset comparison on metadata completeness data (present_fields vs expected_fields) in a single $0.01 call. Ideal when you have two dataset snapshots to diff by key and also want row-to-row trend analysis, all computed locally on your supplied data without any external API calls or live data lookups.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, site_group, date, present_fields, expected_fields) in any row — validation error
- Invalid date format (must match YYYY-MM-DD) — schema validation failure
- Mismatched keys between primary and secondary datasets may result in unmatched rows in comparison report
- Null values in present_fields or expected_fields may affect delta computations
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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