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Company Record Completeness — Category Frequencies & Adjacent Row Changes
x402
Company Record Completeness — Category Frequencies & 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).
Analyzes company record completeness data (populated_fields, required_fields) by computing category frequencies and adjacent row changes across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Category frequencies + Adjacent row changes: Category frequencies + 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 analytical reports: (1) category frequency counts showing how often each completeness category (based on populated_fields or required_fields values) appears across the supplied rows, and (2) adjacent row changes showing the delta between consecutive rows for the selected field, segmented by company_group and date.
Example use cases
Data quality audit by company group
“I have a batch of 50 company records grouped into 'enterprise' and 'smb' with daily dates, populated_fields, and required_fields counts. Can you run the category frequency and adjacent row change reports on populated_fields so I can see where completeness is dropping off?”
Tracking required fields coverage over time
“Here are 120 rows of company record data spanning October 2025, each with a row_id, company_group, date, required_fields, and populated_fields. Run both the frequency and adjacent-row-change analyses on required_fields so I can spot which days had the biggest gaps.”
Completeness baseline for CRM migration
“We're migrating our CRM and I need to understand the current state of our company records. I've got 80 rows with company groups, dates, and populated vs required field counts — can you compute the category frequencies and row-to-row changes for populated_fields to build a completeness baseline?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-104?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a local batch of company record completeness data (up to 200 rows) and need both a frequency distribution of completeness categories AND row-to-row change detection in a single low-cost call. It is best suited for offline/batch analytical use cases where no live data lookup, prediction, or external enrichment is needed — purely local statistical computation on supplied data.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows submitted — excess rows rejected or error returned
- Invalid date format (not YYYY-MM-DD) — validation error
- Missing required fields (row_id, company_group, date) — schema validation failure
- Non-numeric values for populated_fields or required_fields — type error
- Invalid field enum value (not 'populated_fields' or 'required_fields') — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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