{"uid":"cap_03MYl7qWYRtqBJXnsMs2y","slug":"company-headcount-observations-numeric-interval-filter-trailing-mean-63c4865f","name":"Company Headcount Observations — Numeric Interval Filter + Trailing Mean Series","description":"Company headcount observations — Numeric interval filter + Trailing mean series: Numeric interval filter + Trailing mean 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-12-126?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2},"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_Z4EeuQxiX7bcB4cuju9hm","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":"Filters company headcount or open_roles records by a numeric interval and computes a trailing mean time series on up to 200 supplied rows, returning two analytical reports.","exampleAgentPrompt":"I have 150 rows of daily headcount observations for two company groups — can you filter to only rows where headcount is between 10 and 500, then compute a trailing mean with a window of 7 days, targeting the headcount field? Here's my data: [rows array].","exampleUseCases":[{"title":"Headcount trend smoothing for HR report","prompt":"I have 90 days of daily headcount records for three company groups and I need to filter out any headcount values below 50 or above 2000, then show me a trailing mean with a window of 14 for the headcount field so I can spot trends without noise."},{"title":"Open roles pipeline analysis","prompt":"Can you take my 120 rows of open_roles observations across multiple company groups, keep only records where open_roles falls between 5 and 100, and compute a trailing mean series with a window of 4 targeting open_roles?"},{"title":"Workforce range filtering and rolling average","prompt":"I want to analyze our headcount data — please filter these 200 company headcount rows to values between 200 and 800, then give me a trailing mean with window size 10 on the headcount field so I can see the smoothed growth trajectory."}],"resultDescription":"Two analytical reports on the supplied company headcount data: (1) records filtered to the specified numeric interval [minimum, maximum] for the chosen field, and (2) a trailing mean time series computed over the specified window size for the same field — both derived entirely from the submitted rows with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows supplied — request rejected","Window size less than 2 or greater than 200 — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field value not one of 'headcount' or 'open_roles' — enum validation error","Minimum greater than maximum — may return empty filtered set","Missing required row fields (row_id, company_group, date) — schema error","Payment of 0.01 USDC not received — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you have pre-collected company headcount or open_roles time series data (up to 200 rows) and need both a numeric range filter and a trailing mean smoothing series in a single call. It is ideal for offline/batch analytics on supplied data where no live lookup or prediction is needed, and when cost efficiency matters (two reports for $0.01 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:36.798Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-numeric-interval-filter-trailing-mean-63c4865f"}