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Company Record Completeness — Exact Row Deduplication + Date by Category Pivot
x402
Company Record Completeness — Exact Row Deduplication + Date by Category Pivot 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).
Deduplicates exact rows and produces a date-by-category pivot report for company record completeness data (populated_fields, required_fields) — two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Exact row deduplication + Date by category pivot: Exact row deduplication + Date by category pivot 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) an exact row deduplication result identifying and removing fully duplicate rows from the input, and (2) a date-by-category pivot table aggregating the selected field (populated_fields or required_fields) across company groups and dates — both computed locally with no external lookups.
Example use cases
Quarterly data quality audit
“I've got a batch of company completeness records for Q3 — each row has a company_group, date, populated_fields, and required_fields. Can you deduplicate exact duplicate rows and give me a pivot of populated_fields by date and company group so I can see where coverage is weakest?”
Pre-pipeline deduplication check
“Before I load these company records into our data warehouse, I need to strip exact duplicates and get a date-by-category breakdown of required_fields by company group. Can you run both reports on my 150 rows?”
Multi-group completeness comparison
“I have completeness records for three company groups over the past month — can you deduplicate the dataset and then pivot required_fields by date and group so I can compare how completely each group has been filling in their records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-052?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to clean and summarize a batch of company record completeness data in one call — specifically when you want both exact duplicate removal and a date-by-category pivot in a single $0.01 payment. It works entirely on supplied data with no external API calls, making it fast, deterministic, and suitable for pre-pipeline data quality checks on datasets of up to 200 rows.
Side effects
- Input exceeds 200 rows — request rejected
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) — validation error
- Date field not in YYYY-MM-DD format — pattern validation failure
- Numeric fields outside allowed range — schema rejection
- Empty rows array — minItems constraint violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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