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Company Headcount Observations — Record Quality Audit, Exact Row Deduplication & Category Frequencies
x402
Company Headcount Observations — Record Quality Audit, Exact Row Deduplication & Category Frequencies 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).
Audits data quality, removes exact duplicate rows, and computes category frequencies for up to 200 company headcount observation records (headcount, open_roles fields).
Price / call$0.01
Success—
StatusUnknown
How this service works
Company headcount observations — Record quality audit + Exact row deduplication + Category frequencies: Record quality audit + Exact row deduplication + Category frequencies 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 analytical reports: (1) a record quality audit flagging missing, null, or malformed values in the headcount and open_roles fields; (2) an exact row deduplication report identifying and removing identical records; and (3) a category frequency summary showing observation counts per company_group. All reports are computed locally on the supplied data with no external lookups.
Example use cases
Pre-analysis headcount data cleanup
“I've got a CSV of company headcount observations with columns for date, company_group, headcount, and open_roles — about 120 rows total. Can you audit the record quality, flag any exact duplicate rows, and tell me how many observations fall into each company group?”
Workforce data pipeline validation
“Before I load this batch of 80 headcount snapshots into our data warehouse, can you check them for data quality issues, remove any exact duplicates, and give me a frequency count by company group so I can verify the distribution looks right?”
HR dataset deduplication and summary
“I pulled headcount and open_roles data from three different sources and combined them into about 200 rows, but I'm worried there are duplicates and bad records mixed in. Can you run a quality audit, deduplicate the exact matches, and break down how many records we have per company group?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-12-212?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three simultaneous data-quality reports (quality audit + deduplication + category frequencies) on company headcount data in a single low-cost call. It is ideal for pre-pipeline validation, HR data hygiene checks, or exploratory dataset auditing where you do not need live lookups, predictions, or external enrichment — just fast, local analytical computation on your supplied rows.
Side effects
- Payload exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, headcount, open_roles) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern result in validation failure
- Empty rows array rejected (minimum 1 item required)
- Non-numeric headcount or open_roles values outside allowed range cause schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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