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Metadata Completeness — Duplicate Key Report + Explicit Missing-Value Fill
x402
Metadata Completeness — Duplicate Key Report + Explicit 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 2026-10-30).
Analyzes up to 200 metadata completeness records to produce a duplicate key report and fill missing values (present_fields or expected_fields) using zero, mean, or median imputation.
Price / call$0.01
Success—
StatusUnknown
How this service works
Metadata completeness — Duplicate key report + Explicit missing-value fill: Duplicate key report + 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
Returns two independent reports: (1) a duplicate key report identifying rows sharing the same key values, and (2) an explicit missing-value fill report where null values in the specified field (present_fields or expected_fields) are replaced using the chosen method (zero, mean, or median). Both reports are generated from the supplied data without any external lookups.
Example use cases
Audit metadata pipeline for duplicate rows
“I've got a batch of 80 metadata completeness records from our data pipeline — each has a row_id, site_group, date, present_fields, and expected_fields. Can you check for duplicate row IDs and also fill any missing present_fields values using the median?”
Impute missing expected_fields with zero fill
“My metadata completeness log has about 60 rows and some of the expected_fields values are null. Can you fill those nulls with zero and also give me a duplicate key report so I know if any row_ids are repeated?”
Clean completeness records before reporting
“Before I roll up our site group completeness stats, I need to clean 120 rows of metadata records — run a duplicate key check on row_id and use mean imputation to fill any missing present_fields values.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-05-070?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a duplicate key audit and missing-value imputation on metadata completeness records (present_fields / expected_fields) in a single low-cost call. It is especially useful for small-to-medium batches (up to 200 rows) where you want fast, offline analytical processing without any external API calls or predictions. Prefer this over general-purpose data tools when you need structured dual-report output at minimal cost ($0.01 USDC for both reports).
Side effects
- More than 200 rows submitted — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Missing required fields (row_id, present_fields, expected_fields) cause validation errors
- Non-numeric values in present_fields or expected_fields trigger schema errors
- Empty rows array returns an error response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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