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Company Record Completeness — Record Quality Audit & Adjacent Row Changes
x402
Company Record Completeness — Record Quality Audit & Adjacent Row Changes 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).
Audits company record completeness data (populated vs required fields) and reports on record quality and adjacent row changes for up to 200 rows in two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes 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 record quality audit summarizing completeness metrics (populated vs required fields) across the submitted rows, and (2) an adjacent row changes report highlighting how completeness values shift between consecutive records — all computed locally from the supplied data with no external lookups.
Example use cases
Weekly data quality check for CRM records
“I have 80 rows of company CRM completeness data — each row has a row_id, company_group, date, plus how many fields are populated versus how many are required. Can you audit the record quality and flag where adjacent rows show significant changes in completeness?”
Detecting data degradation between pipeline runs
“Our data pipeline runs daily and I want to catch completeness drops between consecutive records. I've got 150 rows tracking populated_fields and required_fields per company_group over the last five months — run the quality audit and adjacent row change analysis on them.”
Pre-migration record quality baseline
“Before we migrate our company database, I need a completeness baseline. Can you take these 200 company records with their populated_fields and required_fields counts and give me both a quality audit and a report on how completeness changed between adjacent rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-011?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, low-cost ($0.01 USDC) batch audit of company record completeness data — specifically when you want both a quality audit and adjacent row change detection in one call on up to 200 rows. Prefer this over general analytics tools when your data already has populated_fields and required_fields numeric metrics and you want structured dual reports without building custom analysis logic.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) on any row causes rejection
- Invalid date format (not YYYY-MM-DD) triggers a schema validation error
- Empty rows array (minItems:1 violated) returns an error
- Non-numeric values for populated_fields or required_fields fail schema validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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