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Company Record Completeness — Numeric Interval Filter + Daily Sum Series
x402
Company Record Completeness — Numeric Interval Filter + Daily Sum Series 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).
Filters company record completeness data by a numeric interval and computes daily sum series for populated_fields or required_fields, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Numeric interval filter + Daily sum series: Numeric interval filter + Daily sum series 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 derived from the supplied rows: (1) a numeric interval filter report listing rows where the selected field (populated_fields or required_fields) falls within the specified minimum–maximum range, and (2) a daily sum series aggregating the selected field's values by date across all filtered rows. Results are computed locally with no external lookups.
Example use cases
Daily completeness rollup by group
“Here are 120 rows of company record completeness logs with dates and group names — filter them to only include rows where required_fields is between 1 and 10, and then show me the daily sum of required_fields so I can see how data quality changes day by day.”
Spotting over-populated field anomalies
“I want to find days where populated_fields was unusually high — can you filter my 80-row company dataset to keep only rows where populated_fields is between 100 and 500, and give me the daily sum series so I can spot the spikes?”
Group-level record audit summary
“I have completeness data for two company groups across October — please filter for rows where populated_fields is between 10 and 30 and compute a daily sum series for populated_fields so I can compare how each group's record quality trended over the month.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-125?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of company record completeness data and need both a numeric range filter and a daily sum aggregation in a single call. It is ideal for data quality audits, completeness trend analysis, and batch reporting on company groups without any external data lookups. Prefer it over general analytics tools when you want a low-cost ($0.01 USDC), reproducible, local computation on your own supplied rows with no prediction or live enrichment.
Side effects
- Fewer than 1 row supplied — request rejected due to minItems constraint
- More than 200 rows supplied — request rejected due to maxItems constraint
- Invalid date format (not YYYY-MM-DD) causes row-level validation failure
- minimum value greater than maximum value may produce empty interval filter results
- Null values in populated_fields or required_fields may affect sum aggregation accuracy
- Missing required fields (row_id, company_group, date) cause schema validation errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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