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Company Record Completeness — Numeric Row Ordering + Keyed Dataset Comparison
x402
Company Record Completeness — Numeric Row Ordering + 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 2026-10-15).
Performs numeric row ordering and keyed dataset comparison across two supplied company record completeness datasets (populated_fields, required_fields) for up to 200 rows each.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Numeric row ordering + Keyed dataset comparison: Numeric row ordering + Keyed dataset comparison for supplied company record completeness records (populated_fields, required_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 analytical reports: (1) a numeric row ordering of the supplied dataset ranked by the chosen field (populated_fields or required_fields), and (2) a keyed dataset comparison between the primary rows and the secondary (other) dataset, highlighting differences per row key. No external data is fetched; all computation is performed on the supplied data.
Example use cases
Month-over-month completeness comparison
“I have two monthly snapshots of company record completeness — one from September and one from October — each with up to 100 rows tagged by company_group and date, tracking populated_fields and required_fields. Can you rank them numerically and show me a keyed comparison between the two months on the populated_fields metric?”
Multi-group data quality audit
“Run a numeric ordering and keyed comparison on my two company record datasets — primary has groups alpha, beta, and gamma with their populated and required field counts, and the second is the target benchmark dataset. Use required_fields as the comparison metric and include all 80 rows.”
Pre-migration data quality check
“Before we migrate our CRM data, I need to compare our current record completeness data against a cleaned reference dataset — both have up to 150 rows with row_id, company_group, date, populated_fields, and required_fields. Can you order them numerically and produce a keyed comparison report on populated_fields?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-123?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to analytically compare two snapshots or versions of company record completeness data, specifically for numeric ranking and keyed row-level diffing of populated_fields and required_fields metrics. It is best suited for data quality audits, before/after comparisons, and multi-group benchmarking tasks where all data is already available locally and no live lookup or external enrichment is needed. Prefer it over single-report endpoints when you need both an ordering report and a keyed comparison in one call.
Side effects
- Missing required row fields (row_id, company_group, date, populated_fields, required_fields) causes validation error
- Exceeding 200 rows per dataset results in rejection
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Null values in populated_fields or required_fields may affect ordering results
- Mismatched row_ids between primary and comparison datasets may produce incomplete comparison output
- Empty rows array (minItems:1 violated) returns error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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