{"uid":"cap_CAwcS6EVxjyRj0DuPFkq_","slug":"video-engagement-category-frequencies-base-100-series-analyzer-257f4e6a","name":"Video Engagement Category Frequencies & Base-100 Series Analyzer","description":"Video engagement — Category frequencies + Base-100 series: Category frequencies + 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-10-105?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_lDf5wM8DAMom1rR-pdlzj","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":"Computes category frequency distributions and base-100 indexed series for video engagement records (view_count, watch_minutes) across up to 200 rows, producing two independent analytical reports.","exampleAgentPrompt":"Analyze these video engagement records — I have 4 rows with view_count and watch_minutes across channel groups 'group-a' and 'group-b' from Oct 1–4 2026 — give me category frequencies and a base-100 series rebased from row index 0 using the view_count field.","exampleUseCases":[{"title":"Channel group frequency breakdown","prompt":"I have a week of YouTube-style engagement data with view_count and watch_minutes across three channel groups. Can you compute the category frequency distribution and give me a base-100 indexed series rebased from the first row, using view_count as the metric?"},{"title":"Watch minutes trend indexing","prompt":"I've got 50 rows of video engagement records with dates and channel groups — run me a category frequency report and a base-100 rebase series on watch_minutes starting from row index 0."},{"title":"Comparing engagement across categories","prompt":"Here are 120 rows of video engagement data labeled by channel_group and date. I want to see how view counts are distributed across categories and get a base-100 indexed series so I can compare trends across groups, starting the index at row 0."}],"resultDescription":"Two analytical reports: (1) a category frequency table showing how often each channel_group appears and its aggregate engagement metrics, and (2) a base-100 indexed series for the chosen field (view_count or watch_minutes) normalized relative to the specified base_index row, enabling trend comparison across records.","failureModes":["Rows array is empty or missing — API returns validation error","More than 200 rows submitted — request rejected, maxItems exceeded","Invalid date format (not YYYY-MM-DD) — schema validation failure","base_index out of range (>= number of rows) — computation error or unexpected output","Null values in view_count or watch_minutes — may affect series computation depending on implementation","Invalid field enum value — schema validation error"],"whenToPreferThis":"Choose this endpoint when you have a batch of up to 200 video engagement records with view_count and watch_minutes fields grouped by channel and date, and need both a category frequency distribution AND a base-100 normalized trend series in a single low-cost call ($0.01 USDC). Prefer this over generic analytics tools when working within an x402 micropayment agent workflow and needing local, offline analytical computation without live data lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T12:43:30.543Z","isFirstParty":false,"canonicalSlug":"video-engagement-category-frequencies-base-100-series-analyzer-257f4e6a"}