{"uid":"cap_3Set9lGsI30iI1gOYb4lL","slug":"company-headcount-observations-exact-row-deduplication-base-100-series-acda88d5","name":"Company Headcount Observations — Exact Row Deduplication + Base-100 Series","description":"Company headcount observations — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 series 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-12-047?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":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_FBzJSvGL9v4nmrZ2QZp8q","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":"Deduplicates exact rows and generates a Base-100 index series from supplied company headcount and open_roles observation data (up to 200 rows).","exampleAgentPrompt":"I have a dataset of company headcount observations across two groups — here are 150 rows with date, headcount, and open_roles fields — please deduplicate exact duplicate rows and generate a Base-100 index series using the first row as the base, focusing on headcount.","exampleUseCases":[{"title":"Normalize multi-company headcount growth","prompt":"I have monthly headcount records for three company groups over two years — can you deduplicate any exact duplicate rows and then index everything to Base-100 starting from the first observation so I can compare relative growth across groups?"},{"title":"Clean open roles tracking data","prompt":"Our open roles data has some repeated entries that got duplicated during ETL — here are 180 rows with company_group, date, and open_roles; please remove exact duplicates and build a Base-100 series starting from row index 0 using the open_roles field."},{"title":"Benchmark headcount after acquisition","prompt":"We merged two workforce datasets post-acquisition and need to deduplicate the combined 95-row headcount records, then generate a Base-100 series anchored to the earliest date so we can see how headcount evolved relative to that starting point."}],"resultDescription":"Returns two reports: (1) a deduplicated version of the input rows with exact duplicate records removed, and (2) a Base-100 index series for the specified field (headcount or open_roles) per company group, where each value is scaled relative to the chosen base index row. Both reports are computed locally using analytical engines with no external data lookups.","failureModes":["Input rows array is empty or exceeds 200 items — validation error returned","base_index references a row position that does not exist in the deduplicated dataset","date field does not match required YYYY-MM-DD format — schema validation failure","headcount or open_roles values are null for all rows, making Base-100 series undefined","company_group or row_id fields exceed 80-character limit — rejected by schema","field enum value is not 'headcount' or 'open_roles' — schema validation failure"],"whenToPreferThis":"Use this endpoint when you have up to 200 rows of company headcount or open_roles time-series data that you need to clean (deduplicate) and normalize into a Base-100 index for trend comparison. It is ideal for local, offline-style analytical processing without any external lookups, predictions, or side effects. Prefer this over general-purpose analytics tools when you want both deduplication and Base-100 indexing delivered together in a single low-cost call against your own supplied dataset.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:07.283Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-exact-row-deduplication-base-100-series-acda88d5"}