{"uid":"cap_mbQVt0o3rE3VrR4N1Nl3f","slug":"company-headcount-observations-deduplication-numeric-interval-filter-6d4de2a3","name":"Company Headcount Observations — Deduplication & Numeric Interval Filter","description":"Company headcount observations — Exact row deduplication + Numeric interval filter: Exact row deduplication + Numeric interval filter 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-12-043?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_jeDeHLkqQAkvc8KWGW8Eq","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 company headcount observation rows and filters them by a numeric interval on headcount or open_roles fields, returning two analytical reports for up to 200 supplied rows.","exampleAgentPrompt":"I have a list of up to 200 company headcount records with dates, company groups, headcount counts, and open roles — can you deduplicate them exactly and then filter to only keep rows where headcount is between 50 and 500?","exampleUseCases":[{"title":"Clean duplicate headcount snapshots","prompt":"I've got a batch of 150 headcount observation rows for our portfolio companies — some are exact duplicates from data pipeline errors. Can you deduplicate them and also filter to only show companies with headcount between 100 and 2000?"},{"title":"Filter open roles within hiring band","prompt":"Here are our weekly open_roles snapshots across all company groups. Please remove any duplicate rows and filter down to only records where open_roles is between 5 and 50, so I can focus on mid-size hiring activity."},{"title":"Validate headcount data before dashboard load","prompt":"Before I load this headcount dataset into our dashboard, can you run exact deduplication and then filter out any rows where headcount falls outside the range of 0 to 10000? I have about 180 rows across several company groups."}],"resultDescription":"Two analytical reports: (1) a deduplicated set of the supplied company headcount observation rows with exact duplicate rows removed, and (2) rows filtered to only those where the selected numeric field (headcount or open_roles) falls within the specified minimum–maximum interval. Both reports operate locally on the supplied data with no external lookups.","failureModes":["Rows array empty or missing — validation error","More than 200 rows supplied — rejected with maxItems error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Minimum greater than maximum — may return empty filtered result set","Missing required row fields (row_id, company_group, date, headcount, open_roles) — schema validation error","Invalid field enum value — rejected with enum constraint error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 company headcount or open-roles observation records that need exact duplicate removal and numeric range filtering in a single call. It is ideal for data pipeline cleanup, pre-dashboard validation, or HR analytics preprocessing where no external data lookup or prediction is needed and the computation must be self-contained on supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:44:47.095Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-deduplication-numeric-interval-filter-6d4de2a3"}