{"uid":"cap_BRC6WrF48PrXBXGk-R_4A","slug":"camera-coverage-analytics-numeric-distribution-adjacent-row-changes-ef1b3ca2","name":"Camera Coverage Analytics — Numeric Distribution & Adjacent Row Changes","description":"Camera coverage — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes 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-12-077?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_haegOWFIsKPSxifkA4fL_","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 local statistical reports on supplied camera coverage data (shot_count or coverage_seconds): numeric distribution analysis and adjacent row change detection, for up to 200 rows.","exampleAgentPrompt":"Analyze my camera coverage data for distribution and adjacent row changes — here are 4 records: row-1 on 2026-10-01 in group-a with shot_count 10 and coverage_seconds 1, row-2 on 2026-10-02 in group-b with shot_count 20 and coverage_seconds 2, row-3 on 2026-10-03 in group-a with shot_count 15 and coverage_seconds 3, row-4 on 2026-10-04 in group-b with shot_count 30 and coverage_seconds 4; run both reports on shot_count.","exampleUseCases":[{"title":"Shot count distribution for shoot day","prompt":"I have 50 camera coverage records from our shoot last week — can you run a numeric distribution and adjacent row change analysis on the shot_count field? I'll paste the rows with row_id, asset_group, date, shot_count, and coverage_seconds."},{"title":"Coverage seconds drift detection","prompt":"Check my 120 camera coverage log entries for row-over-row changes in coverage_seconds and give me the distribution breakdown too — the data includes row_id, asset_group, date, shot_count, and coverage_seconds for each record."},{"title":"Asset group coverage comparison","prompt":"Run distribution and adjacent row change reports on these 30 camera coverage records across asset groups alpha and beta, using coverage_seconds as the field — I need to see where coverage time spikes or drops between consecutive rows."}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution analysis showing statistical spread of the selected field (shot_count or coverage_seconds) across the supplied rows, and (2) an adjacent row change report showing how the selected field value shifts between consecutive rows. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Fewer than 1 row or more than 200 rows submitted — request rejected","Invalid date format (not YYYY-MM-DD) on any row — validation error","Missing required fields (row_id, asset_group, date, shot_count, coverage_seconds) on any row — schema error","field enum value not 'shot_count' or 'coverage_seconds' — invalid field error","Payment of 0.01 USDC not provided — 402 payment required response"],"whenToPreferThis":"Choose this endpoint when you have tabular camera coverage records with shot_count and coverage_seconds fields and need both a numeric distribution summary and row-over-row change detection in a single low-cost call. It is ideal for offline/batch analytics on up to 200 rows where no live data lookup or external prediction is needed. Prefer this over general statistics APIs when your data is specifically camera/video coverage logs and you want two reports bundled for $0.01.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:27.439Z","isFirstParty":false,"canonicalSlug":"camera-coverage-analytics-numeric-distribution-adjacent-row-changes-ef1b3ca2"}