{"uid":"cap_T-EqKuZJAfaNmjrV6WptT","slug":"camera-coverage-analytics-numeric-distribution-keyed-dataset-comparison-653a74e7","name":"Camera Coverage Analytics: Numeric Distribution + Keyed Dataset Comparison","description":"Camera coverage — Numeric distribution + Keyed dataset comparison: Numeric distribution + Keyed dataset comparison 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-12-084?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"shot_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"asset_group":{"type":"string","default":"","maxLength":80},"coverage_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","shot_count":10,"asset_group":"group-a","coverage_seconds":1},{"date":"2026-10-02","row_id":"row-2","shot_count":20,"asset_group":"group-b","coverage_seconds":2},{"date":"2026-10-03","row_id":"row-3","shot_count":15,"asset_group":"group-a","coverage_seconds":3},{"date":"2026-10-04","row_id":"row-4","shot_count":30,"asset_group":"group-b","coverage_seconds":4}],"maxItems":200,"minItems":1},"field":{"enum":["shot_count","coverage_seconds"],"type":"string","default":"shot_count"},"other":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","shot_count","coverage_seconds"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"asset_group":"group-b","coverage_seconds":2},{"date":"2026-10-03","row_id":"row-3","shot_count":17,"asset_group":"group-a","coverage_seconds":3},{"date":"2026-10-04","row_id":"row-4","shot_count":33,"asset_group":"group-b","coverage_seconds":4}],"maxItems":200,"minItems":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_9QgTeYtkc7gTUrOC_RpzH","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 analytical reports on camera coverage data (shot_count or coverage_seconds): a numeric distribution analysis and a keyed dataset comparison between two supplied datasets, up to 200 rows each.","exampleAgentPrompt":"Analyze the shot_count distribution and compare these two sets of camera coverage records: rows dataset has group-a on 2026-10-01 with 10 shots and 60 seconds, and 2026-10-02 group-b with 20 shots and 120 seconds; the comparison dataset has the same keys but 12 shots and 65 seconds, then 22 shots and 125 seconds respectively.","exampleUseCases":[{"title":"Pre/post shoot coverage comparison","prompt":"I have two versions of my camera coverage logs — one from before re-shoots and one after. Can you compare them by row key and show me the distribution of shot_count across both batches? Here are the records: original has row-1 group-a 2026-11-01 with 8 shots and 300 seconds, row-2 group-b 2026-11-02 with 15 shots and 600 seconds; revised has the same row IDs but 12 shots and 350 seconds, then 18 shots and 620 seconds."},{"title":"Daily coverage seconds distribution audit","prompt":"Run a numeric distribution report on coverage_seconds for my 5 days of footage logs and compare them against last week's baseline records. The new rows are: row-1 group-main 2026-10-10 shot_count 20 coverage_seconds 1800, row-2 group-main 2026-10-11 shot_count 25 coverage_seconds 2100, and the baseline rows have the same IDs but 1750 and 2000 seconds."},{"title":"Multi-group shot count spread analysis","prompt":"I need to understand how shot counts are distributed across two different asset groups — group-alpha and group-beta — over a week, and compare this week's numbers to last week's. Rows this week: row-1 group-alpha 2026-10-07 shot_count 30 coverage_seconds 900, row-2 group-beta 2026-10-08 shot_count 45 coverage_seconds 1350; last week same rows had shot_count 28 and 40 respectively."}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution summary of the selected field (shot_count or coverage_seconds) across the supplied rows, including spread and frequency metrics; and (2) a keyed dataset comparison showing differences between the primary and secondary datasets matched by row_id. Both reports are computed locally with no external lookups.","failureModes":["Exceeding 200 rows in either dataset returns a validation error","Missing required fields (row_id, asset_group, date, shot_count, coverage_seconds) causes rejection","Invalid date format (not YYYY-MM-DD) triggers a pattern validation error","Null values in shot_count or coverage_seconds may affect distribution calculations","Mismatched row_id keys between primary and comparison datasets reduce keyed comparison coverage","Empty rows array (minItems:1 not met) returns a schema validation error"],"whenToPreferThis":"Choose this endpoint when you have camera coverage tabular data (shot_count and/or coverage_seconds) and need both a statistical distribution analysis and a side-by-side keyed comparison of two datasets in a single affordable call. It is ideal for production coordinators or data pipelines that need quick, offline analytical summaries without any external data enrichment, predictions, or professional assessment. Best when your dataset is up to 200 rows and you want two reports for $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:21.968Z","isFirstParty":false,"canonicalSlug":"camera-coverage-analytics-numeric-distribution-keyed-dataset-comparison-653a74e7"}