{"uid":"cap_v9USnF1btqHv6hAza1kLo","slug":"community-participation-string-normalisation-and-exact-row-8e6180cb","name":"Community Participation String Normalisation and Exact Row Deduplication","description":"Community participation — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication for supplied community participation records (active_members, post_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-news-05-020?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","channel_group","date","active_members","post_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"post_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"channel_group":{"type":"string","default":"","maxLength":80},"active_members":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","post_count":1,"channel_group":"group-a","active_members":10},{"date":"2026-10-02","row_id":"row-2","post_count":2,"channel_group":"group-b","active_members":20},{"date":"2026-10-03","row_id":"row-3","post_count":3,"channel_group":"group-a","active_members":15},{"date":"2026-10-04","row_id":"row-4","post_count":4,"channel_group":"group-b","active_members":30}],"maxItems":200,"minItems":1}}},"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_WYFUi66iw2P2t1hYvsdlS","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 strings and deduplicates exact rows in community participation records (active_members, post_count) for up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"Can you clean up this community participation data — I have up to 50 rows with channel_group, date, active_members, and post_count fields, and I need the string values normalised and any exact duplicate rows removed, with a report on what was found?","exampleUseCases":[{"title":"Forum channel deduplication before reporting","prompt":"I have 120 rows of community forum data with channel_group, date, active_members, and post_count — can you run string normalisation and exact deduplication on them and tell me which rows were duplicates?"},{"title":"Slack workspace participation data cleanup","prompt":"My Slack workspace export has messy channel names and I suspect some duplicate date entries in the active_members and post_count columns — can you normalise the strings and deduplicate the rows across these 80 records?"},{"title":"Monthly community metrics quality check","prompt":"Before I publish this month's community health report, can you check these 200 rows of participation data for inconsistent string formatting and exact row duplicates across the channel_group, date, active_members, and post_count fields?"}],"resultDescription":"Two analytical reports: one covering string normalisation findings (e.g. case and whitespace corrections in channel_group and date fields) and one covering exact row deduplication results (identifying which rows are exact duplicates). Results are generated locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — exceeds maximum row limit","Missing required fields (row_id, channel_group, date, active_members, post_count) causes row rejection","Invalid date format (must match YYYY-MM-DD pattern) causes validation error","Numeric values outside the allowed range cause schema rejection","Empty rows array returns error"],"whenToPreferThis":"Choose this endpoint when you have community participation data (active_members, post_count by channel_group and date) that needs both string field normalisation and exact duplicate row detection in a single low-cost call. Best for small-to-medium batches up to 200 rows where you want two focused data quality reports without any external data enrichment or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-04T18:49:33.312Z","isFirstParty":false,"canonicalSlug":"community-participation-string-normalisation-and-exact-row-8e6180cb"}