{"uid":"cap_hwykrixPJGyBaK51-uu_k","slug":"camera-coverage-daily-sum-series-with-missing-value-fill-c2f8a232","name":"Camera Coverage Daily Sum Series with Missing-Value Fill","description":"Camera coverage — Daily sum series + Explicit missing-value fill: Daily sum series + Explicit missing-value fill 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-12-145?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_JKB_wFq8sst_CmJR7IQ1M","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 daily sum time series for camera coverage metrics (shot_count or coverage_seconds) and explicitly fills missing values using a chosen strategy (zero, mean, or median)","exampleAgentPrompt":"I have up to 200 rows of camera coverage records with shot_count and coverage_seconds by date and asset group — can you compute the daily sum series for shot_count and fill any missing values using the median?","exampleUseCases":[{"title":"Daily shot count totals for a film shoot","prompt":"Here are 150 rows of camera coverage logs from our film shoot, each with a date, asset group, and shot_count — please compute the daily sum series for shot_count and fill any missing days using the median."},{"title":"Coverage seconds aggregation with zero fill","prompt":"I have camera coverage data for multiple asset groups across October — can you sum coverage_seconds by day and fill any gaps with zero instead of leaving them blank?"},{"title":"Asset group coverage report with mean imputation","prompt":"Can you run a daily sum series report on my camera coverage records using the coverage_seconds field and fill missing values with the mean? I have about 80 rows across groups like 'studio-a' and 'studio-b'."}],"resultDescription":"Returns two independent analytical reports: (1) a daily sum time series for the selected field (shot_count or coverage_seconds), aggregated by date across all provided rows; and (2) an explicit missing-value fill report showing how gaps were handled using the chosen strategy (zero, mean, or median). Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row provided — API rejects with validation error","More than 200 rows submitted — exceeds maxItems limit","Invalid date format (not YYYY-MM-DD) — schema pattern validation fails","Unknown fill method specified outside zero/mean/median enum — rejected","Null values in both shot_count and coverage_seconds with no valid data for mean/median computation — may return degenerate fill values","Missing required row fields (row_id, asset_group, date) — schema validation error"],"whenToPreferThis":"Choose this endpoint when you have tabular camera coverage records (up to 200 rows) and need both a daily aggregated sum time series and explicit missing-value imputation in a single call. It is ideal for media analytics pipelines, film production tracking, or surveillance coverage audits where gaps in daily data need to be handled systematically. Prefer this over general-purpose analytics tools when you want two bundled reports (sum series + fill report) at low cost and with no external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:17.226Z","isFirstParty":false,"canonicalSlug":"camera-coverage-daily-sum-series-with-missing-value-fill-c2f8a232"}