{"uid":"cap_vGcixS8DJ3ZfY0EFYIpdf","slug":"company-headcount-observations-string-normalisation-exact-row-36ca8411","name":"Company Headcount Observations — String Normalisation & Exact Row Deduplication","description":"Company headcount observations — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication for supplied company headcount observations records (headcount, open_roles). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-company-12-020?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_Ll_EW4uEyZVClyWeCsmFf","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":"Normalises strings and deduplicates exact rows in company headcount observation records (headcount, open_roles fields) for up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"Can you clean up these company headcount records — normalise the string fields and remove any exact duplicate rows? I have about 50 rows with company_group, date, headcount, and open_roles columns that need tidying before I run my analysis.","exampleUseCases":[{"title":"Pre-analysis headcount data cleanup","prompt":"I've got a batch of 120 headcount observation records across several company groups with messy string casing and some duplicate rows — can you normalise the strings and deduplicate them so the data is clean for my workforce dashboard?"},{"title":"HR data pipeline deduplication step","prompt":"Before I load these open_roles and headcount figures into our database, can you run deduplication and string normalisation on this set of 80 company headcount rows? I want to make sure there are no exact duplicates and the company_group names are consistently formatted."},{"title":"Monthly workforce report data preparation","prompt":"I have headcount and open_roles observations for Q3 across about 150 rows from multiple company groups — please normalise the text fields and strip out any exact duplicate records so the monthly report figures are accurate."}],"resultDescription":"Returns 2 independent analytical reports covering: (1) string normalisation results showing standardised company_group and other text fields, and (2) exact row deduplication results identifying and removing duplicate records — all processed locally without any external lookups or predictions, for up to 200 input rows.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, company_group, date, headcount, open_roles) cause row-level validation errors","Invalid date format (must be YYYY-MM-DD) causes parsing failure","Malformed JSON body returns 400 error","Payment not included or insufficient USDC triggers 402 payment required","headcount or open_roles values outside allowed numeric range rejected"],"whenToPreferThis":"Choose this endpoint when you have up to 200 company headcount observation rows that need both string normalisation and exact duplicate removal in a single lightweight call, without requiring live data lookups, external enrichment, or ML-based predictions. It is ideal for pre-processing headcount and open_roles data before loading into analytics pipelines or dashboards.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:44:49.085Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-string-normalisation-exact-row-36ca8411"}