{"uid":"cap_9DZB3xK5VfKa8T4u4D55a","slug":"company-headcount-observations-record-quality-audit-string-c3f89e33","name":"Company Headcount Observations — Record Quality Audit + String Normalisation + Grouped Numeric Summary","description":"Company headcount observations — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + 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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-company-12-194?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_KEdoF6Z_Tj7368EGRF0gu","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 analytical reports on company headcount observation rows: a record quality audit, string normalisation, and a grouped numeric summary for headcount or open_roles data.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and grouped numeric summary on my company headcount data? Here are up to 200 rows with fields row_id, company_group, date, headcount, and open_roles — please analyse the 'headcount' field.","exampleUseCases":[{"title":"HR data quality audit before dashboard refresh","prompt":"I've got a batch of headcount observation rows from the past quarter — can you audit the record quality, normalise the company group strings, and give me a grouped numeric summary of headcount across company groups so I can trust the data before refreshing our HR dashboard?"},{"title":"Open roles pipeline review by segment","prompt":"We have 150 rows of headcount observations with open_roles data across several company groups. Can you run all three reports — quality audit, string normalisation, and grouped summary — focusing on the open_roles field, so I can see hiring gaps by segment?"},{"title":"Cleaning up messy company name strings in headcount exports","prompt":"My headcount export has inconsistent company_group labels and I need to know if there are data quality issues too. Can you do a record quality audit, normalise the company group strings, and produce a grouped headcount summary for these rows?"}],"resultDescription":"Three independent analytical reports returned together: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed dates in the headcount observation rows; (2) a string normalisation report cleaning and standardising company_group label values; (3) a grouped numeric summary aggregating the selected field (headcount or open_roles) by company_group. All computed locally with no external lookups.","failureModes":["Rows array is empty or exceeds 200 items — request rejected with validation error","Invalid date format (not YYYY-MM-DD) causes row-level errors in the quality audit","Missing required fields (row_id, company_group, date, headcount, open_roles) causes schema validation failure","Null numeric values for both headcount and open_roles may reduce usefulness of numeric summary","Invalid field enum value (not 'headcount' or 'open_roles') causes rejection","Extremely large numeric values near the ±1e12 boundary may produce edge-case audit flags"],"whenToPreferThis":"Choose this endpoint when you have up to 200 company headcount observation rows and need three bundled analytical operations — quality audit, string normalisation, and grouped numeric summary — in a single low-cost call. It is ideal for pre-processing or validating HR/workforce datasets before downstream analysis or dashboard ingestion, and when you do not need live data lookup, predictions, or external enrichment. The $0.01 flat price for all three reports makes it highly economical compared to calling separate cleaning and summarisation services.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:28.402Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-record-quality-audit-string-c3f89e33"}