{"uid":"cap_zKoqJhLpj6RTmZgoa0AIL","slug":"company-headcount-observations-record-quality-audit-string-94e9ae2e","name":"Company Headcount Observations — Record Quality Audit + String Normalisation + Category Frequencies","description":"Company headcount observations — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + 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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-company-12-195?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}}},"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_9eO20HFbK8ZaxJu6-WKkk","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 (record quality audit, string normalisation, and category frequency analysis) on supplied company headcount observation records containing headcount and open_roles data.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and category frequency analysis on these company headcount observations I'm uploading — up to 200 rows with headcount and open_roles fields for groups like 'group-a' and 'group-b'?","exampleUseCases":[{"title":"HR data pipeline quality check","prompt":"I have 150 rows of company headcount observations with dates, headcounts, and open_roles — can you audit the record quality, normalise the company_group strings, and give me category frequencies so I can clean up the dataset before loading it into our warehouse?"},{"title":"Workforce reporting data validation","prompt":"Before I send this quarterly workforce report, can you check these headcount and open_roles records for data quality issues, normalise any inconsistent company group names, and show me how many records fall into each group category?"},{"title":"Open roles data consistency audit","prompt":"Our recruiting team exported headcount observations for groups like 'Engineering', 'Sales', and 'Ops' — can you run all three reports: record quality, string normalisation, and category frequencies on the open_roles and headcount columns?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging missing values, out-of-range numbers, and malformed dates; (2) a string normalisation report showing standardised versions of company_group strings; and (3) a category frequency table showing how often each company_group value appears across the supplied rows.","failureModes":["Input rows array is empty or missing — validation error","More than 200 rows supplied — request rejected or truncated","date field does not match YYYY-MM-DD format — schema validation failure","row_id is blank or exceeds 80 characters — rejected","headcount or open_roles values outside allowed numeric range — error","Malformed JSON body — 400 bad request"],"whenToPreferThis":"Choose this endpoint when you have up to 200 company headcount observation records and need three simultaneous analytical passes — quality auditing, string normalisation, and category frequency counting — in a single low-cost call. Ideal for pre-pipeline data cleaning, HR data validation, or workforce dataset inspection without requiring any external lookups or live data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:35.121Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-record-quality-audit-string-94e9ae2e"}