{"uid":"cap_St-j-tGyvDGD-NBASu42Z","slug":"camera-coverage-base-100-series-iqr-outlier-flags-6f9ad673","name":"Camera Coverage Base-100 Series + IQR Outlier Flags","description":"Camera coverage — Base-100 series + IQR outlier flags: Base-100 series + 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-12-164?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"},"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_UTMWFhT4tyoGXhOZJYrFp","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 Base-100 indexed time series and IQR-based outlier flags for camera coverage records (shot_count or coverage_seconds) across up to 200 rows, producing two analytical reports.","exampleAgentPrompt":"Take my camera coverage records for groups A and B across last week — row IDs row-1 through row-7, shot_count field — and index them to base-100 starting from row-1, then flag any IQR outliers across all 7 rows.","exampleUseCases":[{"title":"Daily shot count anomaly detection","prompt":"I have 30 days of daily shot count data for my camera asset groups. Can you index them to base-100 starting from day one and flag any days where shot counts are IQR outliers? Here are the rows with row IDs, dates, asset groups, and shot counts."},{"title":"Coverage seconds baseline comparison","prompt":"Run a base-100 series and IQR outlier analysis on my coverage_seconds data — I've got 50 rows across two camera groups from the past two months, indexed from row 1 as the baseline."},{"title":"Multi-group camera performance audit","prompt":"I want to audit camera coverage across four asset groups over 40 shooting days. Can you compute a base-100 index for coverage_seconds starting from index 0 and flag which rows are outliers using IQR?"}],"resultDescription":"Two analytical reports: (1) a Base-100 indexed series showing each row's value relative to the baseline row, and (2) IQR outlier flags identifying which rows fall outside the interquartile range — both computed locally for the supplied shot_count or coverage_seconds field across up to 200 input rows.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, date, asset_group, shot_count, coverage_seconds) cause validation errors","Invalid date format (must match YYYY-MM-DD pattern)","base_index out of range (must be 0–199 and within supplied row count)","All null values in chosen field prevent IQR computation","Invalid field enum value (must be 'shot_count' or 'coverage_seconds')","Payment failure if USDC balance insufficient for $0.01 charge"],"whenToPreferThis":"Choose this endpoint when you have tabular camera coverage records (shot counts or coverage seconds) and need both a baseline-indexed trend series and IQR-based anomaly flags in a single low-cost call. It is ideal for offline/batch analytical enrichment of your own data without any external data lookup or prediction — best when you want reproducible, deterministic statistical summaries on supplied rows rather than real-time monitoring or ML-based forecasting.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:41.807Z","isFirstParty":false,"canonicalSlug":"camera-coverage-base-100-series-iqr-outlier-flags-6f9ad673"}