{"uid":"cap_xLxH4UAIDPdfW1SKrRB3V","slug":"brand-mention-inventories-string-normalisation-numeric-row-ordering-22eb3a10","name":"Brand Mention Inventories — String Normalisation + Numeric Row Ordering","description":"Brand mention inventories — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering 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-18-025?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"}}},"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_56V3kcsyQjrN7TbY9ZSb1","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 company/group strings and orders rows numerically for brand mention inventory data (mention_count, source_count), producing 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"Take my brand mention inventory rows — including mention_count and source_count columns for groups like 'Acme Corp' and 'Beta Ltd' across dates in October 2026 — normalise the company_group strings and sort everything by mention_count, then give me the two standard analytical reports for up to 200 rows.","exampleUseCases":[{"title":"Monthly brand reach ranking","prompt":"I have 150 rows of brand mention data for Q3 with company_group names that need cleaning and I want them sorted by mention_count — can you normalise the strings and produce the two analytical reports?"},{"title":"Source diversity ordering for PR audit","prompt":"Here are our brand monitoring records with source_count per company group — please normalise the group names and order the rows numerically by source_count so our PR team can audit coverage spread."},{"title":"Multi-brand competitive snapshot","prompt":"I've got up to 200 rows covering several brand groups with mention counts from last month — normalise the company names and sort by mention_count, and give me both analytical reports so I can compare brands."}],"resultDescription":"Two analytical reports covering: (1) string-normalised company_group values and (2) numerically ordered rows ranked by the selected field (mention_count or source_count), applied to up to 200 input rows using local analytical engines — no external lookups or predictions.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, company_group, date, mention_count, or source_count) — validation error","Date field not matching YYYY-MM-DD format — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — rejection","Invalid field enum value (not mention_count or source_count) — schema error","Empty rows array — minimum 1 item required"],"whenToPreferThis":"Choose this endpoint when you have brand mention inventory tabular data (up to 200 rows) that needs both string normalisation of company group names and numeric ordering of mention or source counts, and you want two bundled analytical reports at low cost ($0.01 USDC). It is a pure local computation — no live data fetching, prediction, or external side effects — making it ideal for deterministic, repeatable data-cleaning and sorting tasks on supplied brand monitoring datasets.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T18:57:07.887Z","isFirstParty":false,"canonicalSlug":"brand-mention-inventories-string-normalisation-numeric-row-ordering-22eb3a10"}