{"uid":"cap_qiQ70WPAgyNzp2JIXzlFa","slug":"supplier-fill-numeric-interval-filter-trailing-mean-series-04dfa998","name":"Supplier Fill — Numeric Interval Filter + Trailing Mean Series","description":"Supplier fill — Numeric interval filter + Trailing mean series: Numeric interval filter + Trailing mean series for supplied supplier fill records (ordered_units, received_units). 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-retail-06-126?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","store_group","date","ordered_units","received_units"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"store_group":{"type":"string","default":"","maxLength":80},"ordered_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"received_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","store_group":"group-a","ordered_units":10,"received_units":1},{"date":"2026-10-02","row_id":"row-2","store_group":"group-b","ordered_units":20,"received_units":2},{"date":"2026-10-03","row_id":"row-3","store_group":"group-a","ordered_units":15,"received_units":3},{"date":"2026-10-04","row_id":"row-4","store_group":"group-b","ordered_units":30,"received_units":4}],"maxItems":200,"minItems":1},"field":{"enum":["ordered_units","received_units"],"type":"string","default":"ordered_units"},"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_49CcYyN7VVIG0oWoEPsNy","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 supplier fill rows (ordered_units or received_units) by a numeric interval and computes a trailing mean series, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Analyze my supplier fill data — filter ordered_units between 5 and 50, then compute a trailing mean with a window of 3 across these rows: [{\"row_id\":\"r1\",\"store_group\":\"west\",\"date\":\"2026-10-01\",\"ordered_units\":10,\"received_units\":8},{\"row_id\":\"r2\",\"store_group\":\"east\",\"date\":\"2026-10-02\",\"ordered_units\":45,\"received_units\":40}] and give me both the filtered interval report and the rolling mean series.","exampleUseCases":[{"title":"Rolling average on received units","prompt":"I have 150 supplier fill records for Q4. Filter received_units between 0 and 500, then compute a trailing mean with a window of 7 — give me both the interval filter report and the rolling mean series."},{"title":"Spot fill-rate anomalies by store group","prompt":"Run a numeric interval filter on ordered_units between 10 and 200, then smooth it with a trailing mean window of 4 across my store fill data. I want to see which store groups fall outside normal ranges and how the rolling average trends."},{"title":"Retail replenishment trend analysis","prompt":"I've got 80 rows of daily supplier fill logs. Filter ordered_units between 20 and 300 and calculate a 5-period trailing mean — I need both reports so I can spot replenishment trends before the monthly review."}],"resultDescription":"Returns two analytical reports derived from the supplied rows: (1) rows filtered to those where the selected field (ordered_units or received_units) falls within the specified [minimum, maximum] interval, and (2) a trailing mean time series computed over the specified window size for that field. Up to 200 input rows are processed locally without external lookups or predictions.","failureModes":["Fewer than 1 row provided — validation error","More than 200 rows submitted — exceeds maxItems limit","Invalid date format (not YYYY-MM-DD) — schema validation failure","Window size less than 2 or greater than 200 — out-of-range error","minimum greater than maximum — produces empty interval filter result","Payment not provided or insufficient — x402 payment required error","Field value not one of 'ordered_units' or 'received_units' — enum validation error"],"whenToPreferThis":"Choose this endpoint when you have supplier fill records (ordered_units, received_units) and need both a numeric range filter and a trailing moving average in a single call at low cost ($0.01 USDC for 2 reports, up to 200 rows). Ideal for retail supply chain analytics where no external data lookup or prediction is needed — pure local computation on your supplied data. Prefer over general-purpose analytics tools when you need the specific combination of interval filtering plus trailing mean on fill metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:15.463Z","isFirstParty":false,"canonicalSlug":"supplier-fill-numeric-interval-filter-trailing-mean-series-04dfa998"}