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Contact Record Quality — Numeric Row Ordering + Explicit Missing-Value Fill
x402
Contact Record Quality — Numeric Row Ordering + 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 2026-10-19).
Sorts contact record quality rows numerically and fills missing values in checked_records or duplicate_records fields using zero, mean, or median imputation, producing two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Contact record quality — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill for supplied contact record quality records (checked_records, duplicate_records). 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 analytical reports: one showing the numerically ordered rows for the contact record quality dataset, and one showing the dataset with missing values in the selected field (checked_records or duplicate_records) filled using the specified method (zero, mean, or median). No external data is fetched; all computation is performed locally on the supplied rows.
Example use cases
CRM data cleanup before import
“I'm about to import contact records into our CRM and I have a CSV with checked_records and duplicate_records columns — some values are null. Can you sort all 150 rows numerically and fill the missing checked_records using median imputation so the data is clean before I upload?”
Deduplication audit with zero-fill
“I need to audit our contact deduplication quality across groups A and B. I have 80 rows with date, company_group, checked_records, and duplicate_records — some duplicate_records entries are missing. Please order the rows numerically and fill those nulls with zero, and give me the two reports.”
Monthly contact quality reporting
“For my monthly contact quality report, I have 200 rows of checked_records and duplicate_records data across multiple company groups from October 2026. Sort them numerically and use mean fill for any missing duplicate_records values, then show me both analytical reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-03-124?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both numeric row sorting and missing-value imputation applied to contact record quality data (checked_records and duplicate_records) in a single paid call, and you want two independent reports delivered at once. Ideal for small-to-medium datasets (up to 200 rows) where no external lookup or ML prediction is needed — purely local analytical computation on your supplied data.
Side effects
- Fewer than 1 row supplied — validation error
- More than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field value exceeds numeric bounds (±1,000,000,000,000) — rejected
- Missing required fields (row_id, company_group, date) — validation error
- Invalid method enum value — schema rejection
- Invalid field enum value — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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