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Metadata Completeness — Exact Row Deduplication + Missing-Value Fill
x402
Metadata Completeness — Exact Row Deduplication + Missing-Value Fill 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).
Deduplicates exact rows and fills missing values in metadata completeness records (present_fields, expected_fields) for up to 200 rows, producing 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Metadata completeness — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + Explicit missing-value fill 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 covering: (1) exact row deduplication results showing removed duplicates and clean row set, and (2) explicit missing-value fill results for the chosen field (present_fields or expected_fields) using the selected method (zero, mean, or median), applied across up to 200 input rows.
Example use cases
Clean metadata pipeline for data quality audit
“I have 120 metadata completeness records tagged by site_group and date — please deduplicate any exact duplicate rows and fill missing present_fields values using the mean, then give me the two summary reports.”
Impute nulls in expected_fields for reporting
“My metadata tracking table has some null expected_fields entries across about 80 rows — can you fill those in using the median method and also remove any exact duplicate rows? I need the two output reports.”
Prepare completeness dataset before dashboard load
“Before I load this into our dashboard, can you clean up these 200 metadata completeness rows by stripping out exact duplicates and filling any missing present_fields with zero? Return the two analytical reports when done.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-05-054?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular metadata completeness records (with present_fields and expected_fields counts) that need exact duplicate removal and null imputation in a single pass, producing two ready-to-use reports — especially when you do not need live lookups, predictive models, or external data enrichment.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, present_fields, expected_fields) cause schema rejection
- Invalid date format (non-YYYY-MM-DD) fails pattern validation
- Numeric values outside ±1,000,000,000,000 are rejected
- No external lookup available so context-dependent fills may be imprecise
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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