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Company Record Completeness — Daily Sum Series + Keyed Dataset Comparison
x402
Company Record Completeness — Daily Sum Series + 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 2026-10-19).
Runs two local analytical reports on company record completeness data: a daily sum time series and a keyed dataset comparison, for up to 200 rows of populated_fields and required_fields metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Daily sum series + Keyed dataset comparison: Daily sum series + 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 daily sum time series aggregating the chosen field (populated_fields or required_fields) by date across company groups, and (2) a keyed dataset comparison highlighting differences between the primary rows dataset and a secondary 'other' dataset, both computed locally without external lookups.
Example use cases
CRM data quality audit across teams
“I have daily completeness snapshots for our CRM across two company groups from October 2026 — can you give me a daily sum series for populated_fields and then compare the two datasets row by row to spot where required fields are falling short?”
Quarterly completeness trend review
“We track populated_fields and required_fields for group-a and group-b every day. Can you aggregate these into a daily sum series and run a keyed comparison between last quarter's data and this quarter's to see how completeness has changed?”
Pre-migration data completeness check
“Before we migrate company records, I want to compare our old dataset and new dataset for populated_fields and required_fields — can you run a daily sum series on the primary dataset and a keyed comparison against the second to highlight any gaps?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-144?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to analyze company record completeness data (populated vs required fields) through both time-series aggregation and cross-dataset comparison in a single low-cost call. Ideal for data quality audits, CRM hygiene checks, or pre/post migration comparisons where you have up to 200 rows and need two complementary analytical views without any external data fetching or prediction.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required row fields (row_id, company_group, date, populated_fields, required_fields) causes validation error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null or non-numeric values in populated_fields or required_fields may affect aggregation accuracy
- Empty rows array returns an error (minItems: 1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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