{"uid":"cap_Wwctr8HyHVbUeyxJofIgm","slug":"brand-mention-inventories-string-normalisation-numeric-interval-filter-3973ca54","name":"Brand Mention Inventories — String Normalisation + Numeric Interval Filter","description":"Brand mention inventories — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter for supplied brand mention inventories records (mention_count, source_count). 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-18-026?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","mention_count","source_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80},"mention_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_count":1,"company_group":"group-a","mention_count":10},{"date":"2026-10-02","row_id":"row-2","source_count":2,"company_group":"group-b","mention_count":20},{"date":"2026-10-03","row_id":"row-3","source_count":3,"company_group":"group-a","mention_count":15},{"date":"2026-10-04","row_id":"row-4","source_count":4,"company_group":"group-b","mention_count":30}],"maxItems":200,"minItems":1},"field":{"enum":["mention_count","source_count"],"type":"string","default":"mention_count"},"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_DxMTVLHsmtRj3w-6VqJDE","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":"Normalises brand mention inventory strings and filters rows by a numeric interval on mention_count or source_count fields, returning up to 2 reports for up to 200 rows.","exampleAgentPrompt":"Take my brand mention inventory rows for group-a and group-b from October 2026 and give me 2 reports: normalise the company group strings and filter to only rows where mention_count is between 10 and 50.","exampleUseCases":[{"title":"Filter brand mentions by mention count range","prompt":"I have 150 rows of brand mention data with company groups and daily mention counts — can you normalise the strings and filter to only the rows where mention_count is between 5 and 75?"},{"title":"Source count interval filter for competitor tracking","prompt":"Here are my brand mention inventory records for three competitor groups. Run a numeric interval filter on source_count between 2 and 20 and normalise all the company group strings in the output."},{"title":"Clean and narrow down brand mention dataset","prompt":"I've got brand mention inventory rows for Q4 2026 across multiple company groups. Normalise the string fields and return only rows where mention_count falls between 0 and 100, giving me 2 separate reports."}],"resultDescription":"Returns up to 2 analytical reports covering: (1) string-normalised company_group and date fields and (2) rows filtered to the specified numeric interval on the chosen field (mention_count or source_count), covering up to 200 input rows. No live data, predictions, or external lookups are performed.","failureModes":["Empty or missing rows array returns an error","More than 200 rows submitted exceeds the limit","Invalid date format (not YYYY-MM-DD) causes schema validation failure","minimum greater than maximum produces an empty filtered result set","Null numeric values in the chosen filter field may be excluded from interval results","Missing required row fields (row_id, company_group, date) causes rejection"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and numeric interval filtering on brand mention inventory data (mention_count or source_count) in a single call for up to 200 rows and up to 2 reports, without requiring live lookup, external data enrichment, or prediction capabilities. It is especially suited for lightweight, local analytical processing of pre-collected brand mention datasets at minimal cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T12:43:47.527Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-string-normalisation-numeric-interval-filter-3973ca54"}