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Company Record Completeness — Quality Audit, Exact Deduplication & Adjacent Row Changes
x402
Company Record Completeness — Quality Audit, Exact Deduplication & 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 2026-10-15).
Runs three local analytical reports on company record completeness data: a record quality audit, exact row deduplication, and adjacent row change detection — for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Record quality audit + Exact row deduplication + Adjacent row changes: Record quality audit + Exact row deduplication + Adjacent row changes for supplied company record completeness records (populated_fields, required_fields). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports delivered together: (1) a record quality audit summarizing field population rates and anomalies, (2) an exact row deduplication report identifying identical rows, and (3) an adjacent row changes report showing how values shift between consecutive rows — all computed locally from the supplied data with no external lookups.
Example use cases
Monthly CRM data quality audit
“I've got 120 rows of company CRM completeness data with populated_fields and required_fields counts per company group and date — can you run a full quality audit, dedupe check, and row-change detection on the populated_fields column?”
Spotting duplicate company records
“Here are 80 company record completeness entries with row IDs, groups, and dates — run exact row deduplication on the required_fields values so I can see which rows are perfect duplicates.”
Tracking completeness changes across dates
“I need to see how company record completeness changed day over day — please run the adjacent row changes report on my 200-row dataset using the populated_fields metric, grouped by company_group.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-217?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have company record completeness data (populated vs. required fields) and need three quick analytical views — quality audit, deduplication, and adjacent-row change detection — in a single low-cost call ($0.01 USDC). Best suited for batch offline analysis of up to 200 rows where no live data lookup, prediction, or external enrichment is needed.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, company_group, populated_fields, required_fields) cause validation errors
- Date values not matching YYYY-MM-DD pattern fail schema validation
- Null or out-of-range numeric values for populated_fields or required_fields may cause computation errors
- Invalid field enum value (must be 'populated_fields' or 'required_fields') causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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