{"uid":"cap_Kh7iIpxrzjxgpw6ZQHxta","slug":"video-engagement-deduplication-and-base-100-series-analyzer-0010345b","name":"Video Engagement Deduplication and Base-100 Series Analyzer","description":"Video engagement — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 series for supplied video engagement records (view_count, watch_minutes). 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-10-047?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","channel_group","date","view_count","watch_minutes"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"view_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"channel_group":{"type":"string","default":"","maxLength":80},"watch_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","view_count":10,"channel_group":"group-a","watch_minutes":1},{"date":"2026-10-02","row_id":"row-2","view_count":20,"channel_group":"group-b","watch_minutes":2},{"date":"2026-10-03","row_id":"row-3","view_count":15,"channel_group":"group-a","watch_minutes":3},{"date":"2026-10-04","row_id":"row-4","view_count":30,"channel_group":"group-b","watch_minutes":4}],"maxItems":200,"minItems":1},"field":{"enum":["view_count","watch_minutes"],"type":"string","default":"view_count"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_VV5BcaTVS63dYKqoQPAri","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":"Deduplicates video engagement rows and computes Base-100 indexed series for view_count or watch_minutes across up to 200 supplied records.","exampleAgentPrompt":"Can you deduplicate my video engagement records and give me a Base-100 indexed series for view_count starting from row index 0? I have about 50 rows with fields like row_id, channel_group, date, view_count, and watch_minutes.","exampleUseCases":[{"title":"Channel performance trend indexing","prompt":"I have weekly view_count data across two channel groups — can you remove any duplicate rows and then build a Base-100 series starting from the first row so I can compare growth over time?"},{"title":"Watch minutes deduplication audit","prompt":"Can you clean up these 120 video engagement records by deduplicating exact rows, and also give me a Base-100 normalized series for watch_minutes starting at index 0?"},{"title":"Multi-channel engagement data prep","prompt":"Before I run my report, I need to deduplicate these video engagement rows and get a base-100 indexed series for view_count — there are about 80 rows with channel_group, date, view_count, and watch_minutes fields."}],"resultDescription":"Returns two reports: (1) an exact-row deduplication report identifying and removing duplicate engagement records from the supplied dataset, and (2) a Base-100 indexed series for the chosen metric (view_count or watch_minutes), rebased to 100 at the specified base_index row, covering up to 200 supplied rows.","failureModes":["Fewer than 1 row supplied — returns validation error","More than 200 rows submitted — rejected due to maxItems constraint","Invalid date format not matching YYYY-MM-DD pattern — schema validation failure","base_index out of range (0–199) — rejected","Missing required fields (row_id, channel_group, date) — schema validation error","Null or out-of-range numeric values for view_count or watch_minutes may produce incomplete series"],"whenToPreferThis":"Choose this endpoint when you have up to 200 video engagement rows with view_count and/or watch_minutes and need both exact duplicate removal and a Base-100 normalized time series in a single low-cost call. Ideal for pre-processing video analytics data before reporting or visualization, especially when no live lookup or external data enrichment is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:56:57.352Z","isFirstParty":false,"canonicalSlug":"video-engagement-deduplication-and-base-100-series-analyzer-0010345b"}