{"uid":"cap_WDxGW4PVHSWjuNof1dNGv","slug":"camera-coverage-analytics-adjacent-row-changes-date-by-category-pivot-ef5bb6a6","name":"Camera Coverage Analytics: Adjacent Row Changes + Date-by-Category Pivot","description":"Camera coverage — Adjacent row changes + Date by category pivot: Adjacent row changes + Date by category pivot for supplied camera coverage records (shot_count, coverage_seconds). 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-creative-12-160?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","shot_count","coverage_seconds"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"shot_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"asset_group":{"type":"string","default":"","maxLength":80},"coverage_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","shot_count":10,"asset_group":"group-a","coverage_seconds":1},{"date":"2026-10-02","row_id":"row-2","shot_count":20,"asset_group":"group-b","coverage_seconds":2},{"date":"2026-10-03","row_id":"row-3","shot_count":15,"asset_group":"group-a","coverage_seconds":3},{"date":"2026-10-04","row_id":"row-4","shot_count":30,"asset_group":"group-b","coverage_seconds":4}],"maxItems":200,"minItems":1},"field":{"enum":["shot_count","coverage_seconds"],"type":"string","default":"shot_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_smg6oR5j_OU9yD-hKqcoM","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":"Runs two analytical reports on camera coverage data — adjacent row change detection and a date-by-category pivot — for up to 200 rows of shot_count or coverage_seconds data.","exampleAgentPrompt":"I have 4 camera coverage records with shot_count values — can you run adjacent row change detection and a date-by-category pivot on them? The rows are: row-1 on 2026-10-01 with shot_count 10 for group-a, row-2 on 2026-10-02 with shot_count 20 for group-b, row-3 on 2026-10-03 with shot_count 15 for group-a, and row-4 on 2026-10-04 with shot_count 30 for group-b.","exampleUseCases":[{"title":"Row-over-row shot count shifts","prompt":"I've got 50 camera coverage records across two asset groups over the past month — can you show me how shot_count changes from one row to the next and also give me a pivot of shot counts by date and asset group?"},{"title":"Coverage seconds trend by asset group","prompt":"Analyze my 120 camera coverage records using coverage_seconds as the metric — I want adjacent row differences to spot sudden drops, and a date-by-category pivot so I can see which asset groups had the most coverage on each day."},{"title":"Multi-group daily coverage summary","prompt":"Here are 80 rows of camera coverage data across group-a and group-b from October — run the adjacent row changes report and the date-by-category pivot on shot_count so I can see daily patterns and sequential shifts."}],"resultDescription":"Two analytical reports derived entirely from the supplied data: (1) an adjacent row changes report showing how shot_count or coverage_seconds values differ between consecutive rows, and (2) a date-by-category pivot table aggregating the selected metric by date and asset_group. No external lookups or predictions are made; all computation is local to the engine.","failureModes":["Fewer than 1 row supplied — returns a validation error","More than 200 rows supplied — rejected with a row limit error","Invalid date format (not YYYY-MM-DD) in any row — schema validation failure","Invalid field value (not 'shot_count' or 'coverage_seconds') — enum validation error","Missing required fields (row_id, asset_group, date) in any row — schema error","Null numeric values handled gracefully but may produce null deltas in adjacent row report"],"whenToPreferThis":"Choose this endpoint when you have camera coverage tabular data (shot_count or coverage_seconds) with row IDs, dates, and asset groups, and you need both a sequential row-difference analysis and a date-by-category pivot in a single low-cost call. It is ideal for small-to-medium datasets (up to 200 rows) where no live data lookup, external enrichment, or prediction is needed — just fast local analytical computation on supplied records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:58.150Z","isFirstParty":false,"canonicalSlug":"camera-coverage-analytics-adjacent-row-changes-date-by-category-pivot-ef5bb6a6"}