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Metadata Completeness — Exact Row Deduplication + Keyed Dataset Comparison
x402
Metadata Completeness — Exact Row Deduplication + 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 2026-10-27).
Deduplicates rows and compares two keyed metadata completeness datasets (present_fields vs expected_fields) for up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Metadata completeness — Exact row deduplication + Keyed dataset comparison: Exact row deduplication + 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
Two analytical reports: (1) an exact row deduplication report identifying and removing duplicate records from the input rows, and (2) a keyed dataset comparison report matching rows across the two supplied datasets by key fields and highlighting differences in present_fields and expected_fields values. No external lookups or predictions are made; analysis is performed locally on the supplied data.
Example use cases
Pipeline Change Impact Audit
“I ran my metadata pipeline before and after a schema update and now have two sets of completeness records — each row has a row_id, site_group, date, present_fields count, and expected_fields count. Can you deduplicate each set and compare them side by side to show me which rows changed?”
Site Group Field Coverage Comparison
“I have two exports of metadata completeness for my site groups — one from last week and one from this week, both up to 200 rows with present_fields and expected_fields per row. Please run exact deduplication on both and give me a keyed comparison report showing any differences between the two.”
Duplicate Detection in Metadata Inventory
“My metadata inventory seems to have duplicate entries — I have two batches of completeness records with row_id, site_group, date, present_fields, and expected_fields. Can you find all exact duplicate rows and also compare the two batches to flag any mismatches in field coverage?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-05-053?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact duplicate row detection and a side-by-side keyed comparison of two metadata completeness datasets (present_fields vs expected_fields) in a single $0.01 call. It is ideal for data quality workflows where you have two versions of a metadata inventory and want to reconcile them without setting up a local analytics environment. Prefer it over generic deduplication tools when your data is structured around site_group, date, and field-count metrics specifically.
Side effects
- Input exceeds 200 rows — request rejected with validation error
- Missing required fields (row_id, site_group, date, present_fields, expected_fields) — row rejected or error returned
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range (-1e12 to 1e12) — validation error
- Empty rows array (minItems: 1 not met) — request rejected
- Payment not included or insufficient — 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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