{"uid":"cap_4SiraUnkWl5QqoP95Y5yp","slug":"company-headcount-observations-record-quality-audit-string-7d8c4534","name":"Company Headcount Observations — Record Quality Audit, String Normalisation & Date-by-Category Pivot","description":"Company headcount observations — Record quality audit + String normalisation + Date by category pivot: Record quality audit + String normalisation + Date by category pivot 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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-company-12-206?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","headcount","open_roles"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"headcount":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"open_roles":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","headcount":10,"open_roles":1,"company_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","headcount":20,"open_roles":2,"company_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","headcount":15,"open_roles":3,"company_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","headcount":30,"open_roles":4,"company_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["headcount","open_roles"],"type":"string","default":"headcount"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_ORK1_uedvsfxu5R0KAO9j","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs three local analytical reports on supplied company headcount data rows: a record quality audit, string normalisation, and a date-by-category pivot — no external lookups.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and date-by-category pivot on my company headcount data — I have rows with row_id, company_group, date, headcount, and open_roles fields, up to 200 rows, and I want to analyse the headcount field?","exampleUseCases":[{"title":"Headcount data quality check before reporting","prompt":"I need to audit my company headcount observations for data quality issues — can you check these 150 rows for bad records, normalise the company group strings, and give me a pivot of headcount by date and category?"},{"title":"Cleaning workforce data for BI dashboard","prompt":"Before I load this headcount dataset into our BI tool, can you run string normalisation and a record quality audit on the rows I'm supplying, pivoting by date and company group for the headcount field?"},{"title":"Open roles trend analysis by business unit","prompt":"Can you take these company headcount records and produce a date-by-category pivot on the open_roles field, alongside a quality audit and string normalisation of the company_group column?"}],"resultDescription":"Three independent analytical reports based solely on the supplied rows: (1) a record quality audit flagging malformed, missing, or out-of-range values; (2) string normalisation suggestions for the company_group field; and (3) a date-by-category pivot table for the selected numeric field (headcount or open_roles). No external data is fetched.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — request rejected","Invalid date format (not YYYY-MM-DD) — row-level validation error","Missing required fields (row_id, company_group, date, headcount, open_roles) — schema validation failure","field enum value not 'headcount' or 'open_roles' — rejected","Numeric values outside allowed range — flagged or rejected"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of company headcount observations and need a bundled set of three analytical reports — quality audit, string normalisation, and date pivot — in a single low-cost call ($0.01 USDC). It is purely local and analytical with no external lookups, making it safe for sensitive internal workforce data. Prefer it over general-purpose data tools when you specifically need the combination of quality auditing, string cleaning, and date-category pivoting on headcount or open_roles metrics in one pass.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:44:35.798Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-record-quality-audit-string-7d8c4534"}