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Company Headcount Observations — Quality Audit, Deduplication & Grouped Summary
x402
Company Headcount Observations — Quality Audit, Deduplication & Grouped Summary 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 three analytical reports on company headcount data: record quality audit, exact row deduplication, and grouped numeric summary for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company headcount observations — Record quality audit + Exact row deduplication + Grouped numeric summary: Record quality audit + Exact row deduplication + Grouped numeric summary for supplied company headcount observations records (headcount, open_roles). 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
Returns three independent reports: (1) a record quality audit flagging issues such as nulls, invalid values, or malformed dates in headcount and open_roles fields; (2) an exact row deduplication report identifying fully duplicated records; and (3) a grouped numeric summary aggregating the selected field (headcount or open_roles) by company_group, including statistics such as counts, totals, and averages.
Example use cases
HR data cleanup before reporting
“I need to clean up our quarterly headcount data before sending it to the board — can you audit the record quality, deduplicate any exact repeated rows, and summarize headcount by company group? I have about 150 rows with fields for row_id, company_group, date, headcount, and open_roles.”
Validate recruiting pipeline dataset
“We pulled open_roles data from three HR systems and suspect there are overlapping records — can you run a deduplication check, a quality audit, and a grouped numeric summary on the open_roles field across our company groups? I'll send you up to 200 rows.”
Spot anomalies in workforce observations
“Before we load this headcount observation dataset into our dashboard, can you audit it for quality issues like nulls or out-of-range values, flag any duplicate rows, and give me a grouped summary of headcount numbers broken down by company_group?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-12-211?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of up to 200 company headcount or open_roles records and need all three of quality auditing, deduplication, and grouped summarization in a single low-cost call ($0.01 USDC). It is ideal for pre-load data validation pipelines, HR reporting workflows, or any scenario where you need offline analytical reports on supplied data without external lookups or live data sources.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, headcount, open_roles) causes rejection
- Dates not matching YYYY-MM-DD pattern fail schema validation
- Null numeric values are allowed but may reduce summary accuracy
- Empty rows array rejected due to minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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