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Contact Record Quality — Keyed Dataset Comparison + Explicit Missing-Value Fill
x402
Contact Record Quality — Keyed Dataset Comparison + 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 2026-11-02).
Compares two contact record quality datasets by key and fills in missing values for checked_records and duplicate_records fields across up to 200 rows, producing 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Contact record quality — Keyed dataset comparison + Explicit missing-value fill: Keyed dataset comparison + 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 2 structured analytical reports: one keyed dataset comparison showing row-by-row differences between the primary and secondary contact record quality datasets, and one explicit missing-value fill report patching nulls in the selected field (checked_records or duplicate_records). No external lookups or predictions are made; all analysis uses the supplied data only.
Example use cases
Monthly deduplication audit across company groups
“I have two snapshots of our contact deduplication data for October 2026 — one from our CRM export and one from our data warehouse — each with checked_records and duplicate_records by company group and date. Can you compare them row by row and fill in any missing values, focusing on the duplicate_records field? I need 2 reports showing where the numbers diverge.”
Reconciling contact quality between data pipelines
“Our ETL pipeline and our manual QA process both produce contact quality counts — checked_records and duplicate_records — for group-a and group-b across about 150 rows of dates. Run a keyed comparison between the two datasets on the checked_records field and patch any nulls so I can see where they disagree.”
Filling null contact metrics before dashboard refresh
“Before I refresh our contact quality dashboard, I need to fill in the missing checked_records and duplicate_records values in two versions of our dataset — about 80 rows each — and get a side-by-side comparison report for the checked_records field to see which rows changed between the two versions.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-03-190?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have two structured contact record quality datasets (with checked_records and duplicate_records fields) and need both a keyed row-by-row comparison and explicit null/missing-value filling in a single low-cost call. Ideal for data reconciliation tasks between CRM exports, ETL outputs, or QA snapshots where no live external lookup or prediction is needed — just local analytical computation on supplied data up to 200 rows.
Side effects
- Row count exceeds 200 items — request rejected
- Missing required fields (row_id, company_group, date, checked_records, duplicate_records) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema rejection
- Field selector not one of checked_records or duplicate_records — enum validation failure
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — validation error
- Empty rows array — minItems constraint violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| method | string |
Tags
x402
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