{"uid":"cap_4D-QW8wZ6CAKnIZCgO1Fm","slug":"company-headcount-observations-string-normalisation-adjacent-row-79f4568e","name":"Company Headcount Observations — String Normalisation + Adjacent Row Changes","description":"Company headcount observations — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes 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-12-029?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_meK_c2mRDntCBKTIOX58g","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":"Applies string normalisation and adjacent row change detection to up to 200 company headcount observation records, returning two analytical reports.","exampleAgentPrompt":"Can you normalise the company headcount strings and flag any adjacent row changes in this dataset — I have 4 rows for group-a and group-b with headcount and open_roles values from October 2026?","exampleUseCases":[{"title":"Monthly headcount data cleanup","prompt":"I've got 50 rows of headcount observations for three company groups across Q3 — can you normalise the string fields and show me where consecutive rows have changed in the headcount column?"},{"title":"Open roles shift detection across weeks","prompt":"Here are 120 weekly open_roles records for our hiring dashboard across five company groups — run the adjacent row change detection on the open_roles field so I can see where staffing demand shifted."},{"title":"Audit sequential headcount entries before reporting","prompt":"Before I send this headcount report to leadership, can you run string normalisation and adjacent row change analysis on these 80 observation rows grouped by division so I can catch any data inconsistencies?"}],"resultDescription":"Returns two analytical reports: (1) a string normalisation report cleaning and standardising text fields in the supplied headcount observation rows, and (2) an adjacent row changes report identifying where consecutive rows differ in the selected field (headcount or open_roles), including change magnitudes and flags — all computed locally without external lookups.","failureModes":["Fewer than 1 or more than 200 rows submitted — request rejected","row_id missing or empty — validation error per row","date field not matching YYYY-MM-DD pattern — rejected","headcount or open_roles values outside allowed numeric range — error","field enum value not one of 'headcount' or 'open_roles' — rejected","Payment of 0.01 USDC not received — 402 response"],"whenToPreferThis":"Choose this endpoint when you have structured company headcount observation data (up to 200 rows) and need both string normalisation and consecutive row change detection in a single call, without requiring live data lookup, prediction, or external integrations. It is well-suited for pre-reporting data cleaning workflows and sequential change auditing on headcount or open roles time series.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:54.642Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-string-normalisation-adjacent-row-79f4568e"}