{"uid":"cap_xlhF0g54gjuHqCjQlmQEV","slug":"competitor-supplied-prices-numeric-interval-filter-date-by-category-b760d38f","name":"Competitor Supplied Prices — Numeric Interval Filter + Date by Category Pivot","description":"Competitor supplied prices — Numeric interval filter + Date by category pivot: Numeric interval filter + Date by category pivot 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-07-133?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"},"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__lr-zuGwqYUWPi1fYPdDu","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 competitor supplied price records by numeric range and generates a date-by-category pivot table, returning 2 analytical reports for up to 200 rows of list_price/package_quantity data.","exampleAgentPrompt":"I have competitor pricing data with 4 rows — group-a had list prices of 10 and 15 on 2026-10-01 and 2026-10-03, group-b had 20 and 30 on 2026-10-02 and 2026-10-04, with package quantities 1–4. Can you run a numeric interval filter on list_price between 0 and 25, and also give me a date-by-category pivot on that data?","exampleUseCases":[{"title":"Filtering overpriced competitor SKUs","prompt":"I've got 150 rows of competitor supplied pricing records with list prices and package quantities by company group and date. Can you filter to only show me the records where list_price falls between 50 and 500, and also produce a date-by-category pivot so I can see how pricing breaks down across groups over time?"},{"title":"Benchmarking package quantity ranges","prompt":"Here's a dataset of competitor package quantities across 80 rows, each tagged with a company group and date. Run an interval filter on package_quantity between 5 and 100, and give me a date-by-category pivot of the results — I want to see which groups offer mid-range pack sizes and when."},{"title":"Quarterly competitor price trend pivot","prompt":"I have 200 rows of competitor pricing data spanning Q4 2026, with list prices and company groups. Filter for list_price between 0 and 75 and generate a date-by-company-group pivot table so I can spot pricing trends by competitor category over the quarter."}],"resultDescription":"Returns 2 analytical reports based on the supplied rows: (1) a numeric interval filter report showing which records fall within the specified min/max range for the chosen field (list_price or package_quantity), and (2) a date-by-category pivot table aggregating values by date and company_group. Both reports are computed locally on submitted data with no external lookups.","failureModes":["Exceeding 200 rows causes rejection — trim input to 200 items","Missing required fields (row_id, company_group, date, list_price, package_quantity) cause validation errors","Invalid date format (not YYYY-MM-DD) causes schema rejection","Numeric values outside ±1,000,000,000,000 are rejected","Setting minimum greater than maximum produces an empty interval filter result","Selecting a field value not in enum ['list_price','package_quantity'] causes error"],"whenToPreferThis":"Choose this endpoint when you have pre-collected competitor pricing data (list prices and package quantities) that you want to analyze with two complementary lenses — a numeric range filter and a date-by-category pivot — in a single low-cost call. It is ideal when data is already in hand and no live market lookup or prediction is needed. Prefer it over single-report endpoints when you need both interval filtering and pivot analysis together for up to 200 rows at $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:18.175Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-numeric-interval-filter-date-by-category-b760d38f"}