{"uid":"cap_dEYq4EDUYx7WPGFkWCEFi","slug":"camera-coverage-adjacent-row-changes-iqr-outlier-flags-7fa6c46d","name":"Camera Coverage Adjacent Row Changes + IQR Outlier Flags","description":"Camera coverage — Adjacent row changes + IQR outlier flags: Adjacent row changes + IQR outlier flags 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-12-157?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_wH0TcSByLFMhnEx_tyOEK","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":"Analyzes camera coverage records (shot_count, coverage_seconds) by computing adjacent row changes and flagging IQR-based outliers, returning two independent analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run an adjacent-row change analysis and IQR outlier detection on my camera coverage records? Here are 4 rows: group-a on 2026-10-01 had 10 shots and 1 coverage second, group-b on 2026-10-02 had 20 shots and 2 seconds, group-a on 2026-10-03 had 15 shots and 3 seconds, group-b on 2026-10-04 had 30 shots and 4 seconds — analyze the shot_count field.","exampleUseCases":[{"title":"Flagging outlier shoot days for a film crew","prompt":"I have daily camera records for two asset groups over the past month — can you check my shot_count data for IQR outliers and show me which days had the biggest jumps from one day to the next? Here are the rows with row IDs, dates, asset groups, shot counts, and coverage seconds."},{"title":"QA audit on broadcast coverage logs","prompt":"We need to QA our broadcast camera coverage logs — run adjacent row changes and IQR outlier flagging on these 50 records for the coverage_seconds field so we can catch any anomalous durations before submitting the final report."},{"title":"Detecting coverage anomalies across asset groups","prompt":"I'm reviewing camera footage coverage across two asset groups for our production pipeline. Can you analyze these records for shot_count, show me row-to-row changes, and flag anything that's an IQR outlier so I know which entries to investigate?"}],"resultDescription":"Returns two independent analytical reports: (1) adjacent row-to-row change values for the selected field (shot_count or coverage_seconds) across the supplied records, and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range boundaries, based solely on the supplied data with no external lookups.","failureModes":["Exceeding 200 rows returns an error or truncated result","Missing required fields (row_id, date, asset_group) causes validation failure","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Providing fewer than 1 row is not permitted","Null values in the selected field may reduce outlier detection accuracy","Network or payment processing failure returns no result"],"whenToPreferThis":"Choose this endpoint when you need fast, offline statistical analysis of camera coverage time-series data — specifically adjacent row change detection and IQR outlier flagging — without requiring external data lookups or predictions. Ideal for production pipeline QA, broadcast log auditing, or asset group coverage anomaly detection on batches of up to 200 records. Prefer this over general-purpose analytics tools when you need both change detection and outlier flagging in a single low-cost call ($0.01 USDC for two reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:06.294Z","isFirstParty":false,"canonicalSlug":"camera-coverage-adjacent-row-changes-iqr-outlier-flags-7fa6c46d"}