{"uid":"cap_29LWc4J0m2y0Hp2gjBt0g","slug":"company-headcount-observations-string-normalisation-keyed-dataset-fdd29b4c","name":"Company Headcount Observations — String Normalisation + Keyed Dataset Comparison","description":"Company headcount observations — String normalisation + Keyed dataset comparison: String normalisation + Keyed dataset comparison 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-12-036?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"headcount":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"open_roles":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","headcount":10,"open_roles":1,"company_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","headcount":20,"open_roles":2,"company_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","headcount":15,"open_roles":3,"company_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","headcount":30,"open_roles":4,"company_group":"group-b"}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","headcount","open_roles"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"open_roles":2,"company_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","headcount":17,"open_roles":3,"company_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","headcount":33,"open_roles":4,"company_group":"group-b"}],"maxItems":200,"minItems":0}}},"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_9TBjPp_diuS1OcrN6VMXT","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 company name strings and compares two sets of headcount/open-roles observations row-by-row using local analytical engines, returning two reports for up to 200 rows.","exampleAgentPrompt":"I have two sets of company headcount records — each up to 200 rows with fields for row_id, company_group, date, headcount, and open_roles — can you run a string normalisation on the company names and compare the two datasets row-by-row to surface any differences in headcount and open roles?","exampleUseCases":[{"title":"Reconciling HR data from two vendors","prompt":"I got headcount exports from two different HR systems for the same companies and dates — can you normalise the company name strings and do a keyed comparison of the two datasets so I can see where the headcount and open_roles numbers diverge? I have up to 150 rows in each."},{"title":"Spotting workforce changes between snapshots","prompt":"I pulled our company headcount data for last quarter and this quarter — each has about 80 rows with row_id, company_group, date, headcount, and open_roles. Can you normalise the company names and compare the two snapshots side by side to flag any rows where the numbers changed?"},{"title":"Validating a manually edited headcount file","prompt":"Someone manually edited our headcount spreadsheet and I want to check what changed. Can you take the original and edited versions — both under 200 rows with row_id, company_group, date, headcount, and open_roles — normalise the company group strings, and run a keyed comparison to produce two reports showing what's different?"}],"resultDescription":"Returns two analytical reports: a string normalisation report (standardised company_group labels) and a keyed dataset comparison report highlighting row-by-row differences in headcount and open_roles between the two supplied datasets, derived entirely from the provided data with no live lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, company_group, date, headcount, open_roles) cause validation errors","Invalid date format (must be YYYY-MM-DD) results in schema rejection","Numeric values outside the allowed range trigger validation failure","Empty rows array rejected due to minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you need to reconcile or compare two batches of company headcount and open-roles data offline, with company name string normalisation included, for up to 200 rows per dataset — particularly when no live data lookup, prediction, or external enrichment is needed and a flat per-call cost is preferred.","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-string-normalisation-keyed-dataset-fdd29b4c"}