{"uid":"cap_EN_Q-0k1Fs60uYBzhf8wX","slug":"company-headcount-observations-record-quality-audit-string-0093db10","name":"Company Headcount Observations — Record Quality Audit, String Normalisation & Numeric Row Ordering","description":"Company headcount observations — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering 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-12-196?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_RaLwPW9NDXvqRqSKapK9T","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":"Audits data quality, normalises strings, and orders rows numerically for up to 200 company headcount observation records (headcount and open_roles fields) across 3 independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and numeric ordering on these company headcount observations I have for group-a and group-b — I've got headcount and open_roles figures for each date and want all three reports back at once?","exampleUseCases":[{"title":"HR data quality check before reporting","prompt":"I have 150 rows of company headcount snapshots by group and date with headcount and open_roles values — can you audit them for record quality issues, normalise any inconsistent company_group strings, and order the headcount field numerically so I can trust the data before my monthly report?"},{"title":"Spotting dirty open_roles data","prompt":"Before I load these open_roles observations into our dashboard, can you run the quality audit and string normalisation on my 80-row dataset grouped by company_group and date, focusing on the open_roles field so I can catch any bad values?"},{"title":"Standardising headcount records across groups","prompt":"I've merged headcount data from three company groups into about 120 rows and the company_group names are inconsistently formatted — can you normalise the strings, check record quality, and give me a numerically ordered view of the headcount column?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging issues in the supplied headcount/open_roles rows, (2) a string normalisation report standardising fields like company_group, and (3) a numeric row ordering report sorting rows by the selected numeric field (headcount or open_roles). No external data is fetched; all analysis is performed on the supplied rows only.","failureModes":["Exceeding 200 rows returns an error or processes only up to the limit","Rows missing required fields (row_id, company_group, date, headcount, open_roles) fail validation","Date strings not matching YYYY-MM-DD pattern are rejected","Null numeric values may affect ordering report output","Field selector not matching 'headcount' or 'open_roles' enum causes rejection"],"whenToPreferThis":"Choose this endpoint when you need three bundled data-quality operations (audit, string normalisation, numeric ordering) on company headcount observation records in a single cost-effective call ($0.01 USDC for all three reports on up to 200 rows). Prefer this over general-purpose data tools when your data specifically contains headcount and open_roles fields grouped by company and date, and you need no live lookups or external enrichment — only local analytical processing of supplied rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:57.102Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-record-quality-audit-string-0093db10"}