{"uid":"cap_EL2o2K4Y28QnNAtWge0Gg","slug":"competitor-supplied-prices-grouped-numeric-summary-trailing-mean-series-8aab7b73","name":"Competitor Supplied Prices — Grouped Numeric Summary + Trailing Mean Series","description":"Competitor supplied prices — Grouped numeric summary + Trailing mean series: Grouped numeric summary + Trailing mean series for supplied competitor supplied prices records (list_price, package_quantity). 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-07-090?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","list_price","package_quantity"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"list_price":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80},"package_quantity":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","list_price":10,"company_group":"group-a","package_quantity":1},{"date":"2026-10-02","row_id":"row-2","list_price":20,"company_group":"group-b","package_quantity":2},{"date":"2026-10-03","row_id":"row-3","list_price":15,"company_group":"group-a","package_quantity":3},{"date":"2026-10-04","row_id":"row-4","list_price":30,"company_group":"group-b","package_quantity":4}],"maxItems":200,"minItems":1},"field":{"enum":["list_price","package_quantity"],"type":"string","default":"list_price"},"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_ncipmHkdaqhO2JbyYsOuS","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":"Analyzes up to 200 rows of competitor price data (list_price, package_quantity) by computing grouped numeric summaries and a trailing mean time series for a chosen field.","exampleAgentPrompt":"I have competitor pricing data for two groups — can you run a grouped numeric summary and a trailing mean series on the list_price field with a window of 3 for these 4 rows: row-1, 2026-10-01, group-a, $10, qty 1; row-2, 2026-10-02, group-b, $20, qty 2; row-3, 2026-10-03, group-a, $15, qty 3; row-4, 2026-10-04, group-b, $30, qty 4?","exampleUseCases":[{"title":"Competitor list price trend analysis","prompt":"I've got 50 rows of competitor list prices across three supplier groups with dates. Can you give me a grouped numeric summary and a trailing mean series with a window of 5 on list_price so I can see how each group's prices are trending?"},{"title":"Package quantity distribution by vendor group","prompt":"Here are 120 records of competitor package quantities by company group and date — can you run the grouped summary and trailing mean (window of 4) on package_quantity so I can spot which groups are bundling more aggressively over time?"},{"title":"Monthly competitor pricing report","prompt":"For our monthly pricing review, I have 200 rows of competitor data with list prices by group and date — please compute the grouped numeric summary and trailing mean series with a window of 7 on list_price so I can present a clear statistical picture to the team."}],"resultDescription":"Returns two reports: (1) a grouped numeric summary with descriptive statistics (e.g. mean, min, max, count) broken down by company_group for the selected field, and (2) a trailing mean time series showing the rolling average of the selected field (list_price or package_quantity) across the supplied date-ordered rows, using the specified window size. Results cover up to 200 input rows with no external data lookups.","failureModes":["Fewer than 1 row supplied — validation error","More than 200 rows submitted — rejected with maxItems error","Window size larger than number of rows — trailing mean may produce sparse or null values","Invalid date format (not YYYY-MM-DD) — schema validation failure","Missing required fields (row_id, company_group, date) — request rejected","Non-numeric list_price or package_quantity outside allowed range — validation error","Payment not processed (x402) — endpoint returns 402 before analysis"],"whenToPreferThis":"Choose this endpoint when you have already collected competitor pricing data locally and need offline statistical analysis — specifically grouped summaries and rolling mean trends — without any live market lookup, prediction, or external enrichment. It is ideal for batch analytical workflows processing up to 200 rows at a time where you want two complementary reports (group statistics + time series moving average) for a single low-cost call. Prefer alternatives if you need live pricing data, forecasting, or more than 200 rows per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:42.502Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-grouped-numeric-summary-trailing-mean-series-8aab7b73"}