{"uid":"cap_wHhhAkKvLOIqd2YsEibs2","slug":"bundle-sales-string-normalisation-trailing-mean-series-626c8e63","name":"Bundle Sales String Normalisation + Trailing Mean Series","description":"Bundle sales — String normalisation + Trailing mean series: String normalisation + Trailing mean series for supplied bundle sales records (bundles_sold, component_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-15-028?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","store_group","date","bundles_sold","component_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},"bundles_sold":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"component_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","store_group":"group-a","bundles_sold":10,"component_units":1},{"date":"2026-10-02","row_id":"row-2","store_group":"group-b","bundles_sold":20,"component_units":2},{"date":"2026-10-03","row_id":"row-3","store_group":"group-a","bundles_sold":15,"component_units":3},{"date":"2026-10-04","row_id":"row-4","store_group":"group-b","bundles_sold":30,"component_units":4}],"maxItems":200,"minItems":1},"field":{"enum":["bundles_sold","component_units"],"type":"string","default":"bundles_sold"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_jyVL1313ywmT2_uW-3u10","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":"Runs two local analytical reports on bundle sales data: string normalisation and trailing mean series for up to 200 rows of bundles_sold or component_units data.","exampleAgentPrompt":"I have 4 rows of bundle sales data for two store groups — group-a and group-b — with bundles_sold values of 10, 20, 15, and 30 on dates 2026-10-01 through 2026-10-04; can you run the string normalisation and trailing mean series reports on the bundles_sold field using a window of 2?","exampleUseCases":[{"title":"Rolling average for bundle sales trend","prompt":"I've got 50 rows of daily bundle sales across three store groups and I want a trailing mean series on bundles_sold with a window of 7 — can you run that alongside a string normalisation report for those same rows?"},{"title":"Component units data cleaning and smoothing","prompt":"Can you normalise the component_units strings and compute a trailing mean series with a window of 4 for my 120 rows of bundle sales records? The rows have store_group, date, bundles_sold, and component_units columns."},{"title":"Multi-store bundle sales analytics","prompt":"I have weekend bundle sales data for 30 rows across group-a and group-b stores — please run string normalisation and a trailing mean series with window size 3 on the bundles_sold field so I can compare store performance."}],"resultDescription":"Two analytical reports for the supplied bundle sales rows: (1) a string normalisation report for the selected field across all rows, and (2) a trailing mean series computed over the specified rolling window for each row, both generated using local analytical engines with no external lookups.","failureModes":["Fewer than 1 row or more than 200 rows submitted — validation error","Window size smaller than 2 or larger than 200 — validation error","Invalid date format (not YYYY-MM-DD) — schema rejection","Missing required fields (row_id, store_group, date, bundles_sold, component_units) — request rejected","Field value not one of 'bundles_sold' or 'component_units' — enum validation failure","Payment not included or insufficient — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and a trailing mean series computed together on bundle sales records (bundles_sold, component_units) in a single low-cost call. Ideal for retail analytics pipelines processing up to 200 rows of bundle data where two bundled reports at $0.01 USDC offer better value than separate calls. Not suitable for live lookups, predictions, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:50:58.559Z","isFirstParty":false,"canonicalSlug":"bundle-sales-string-normalisation-trailing-mean-series-626c8e63"}