{"uid":"cap_jK3km_7XCd17gFjFOF1Zg","slug":"competitor-supplied-prices-string-normalisation-daily-sum-series-68c45770","name":"Competitor Supplied Prices — String Normalisation + Daily Sum Series","description":"Competitor supplied prices — String normalisation + Daily sum series: String normalisation + Daily sum 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-07-027?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"}}},"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_JWvl_PM-CLodhOz2HwXTa","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 supplied competitor pricing data: string normalisation of company/date fields and a daily sum series for list_price or package_quantity, across up to 200 rows.","exampleAgentPrompt":"I've got a batch of competitor pricing records — up to 200 rows with row IDs, company groups, dates, list prices, and package quantities — can you normalize the strings and give me a daily sum series for list_price?","exampleUseCases":[{"title":"Retail competitor price daily rollup","prompt":"I have 150 rows of competitor pricing data with company groups, dates, and list prices — can you clean up the strings and give me a daily sum series for list_price so I can see totals per day?"},{"title":"Package quantity aggregation by date","prompt":"Here are my competitor supplied records with row IDs, company groups, dates, and package quantities. Run the string normalisation and daily sum series reports on package_quantity for me."},{"title":"Weekly competitor pricing audit prep","prompt":"I need to prep competitor pricing data for a report — I have about 80 rows with company groups and dates. Can you normalize the strings and compute a daily sum series on list_price to spot any unusual spikes?"}],"resultDescription":"Two analytical reports: (1) a string normalisation report cleaning company_group and date field values across the supplied rows, and (2) a daily sum series aggregating the selected numeric field (list_price or package_quantity) by date — both computed locally on the supplied data, no external lookups.","failureModes":["Exceeding 200 row limit returns an error","Malformed date strings not matching YYYY-MM-DD pattern rejected","Missing required fields (row_id, company_group, date, list_price, package_quantity) cause validation failure","Invalid field selector (not list_price or package_quantity) returns error","Numeric values outside ±1,000,000,000,000 boundary rejected"],"whenToPreferThis":"Choose this endpoint when you have a batch of up to 200 competitor pricing records and need both a string normalisation pass and a daily sum time series in a single low-cost call ($0.01 USDC). Prefer it over general analytics services when working offline with supplied data, no live lookup is needed, and you want two paired reports in one shot.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:02.073Z","isFirstParty":false,"canonicalSlug":"competitor-supplied-prices-string-normalisation-daily-sum-series-68c45770"}