{"uid":"cap_tuQefCgJvviygZ2v74uxP","slug":"camera-coverage-record-quality-audit-string-normalisation-date-by-4c927c26","name":"Camera Coverage Record Quality Audit + String Normalisation + Date-by-Category Pivot","description":"Camera coverage — Record quality audit + String normalisation + Date by category pivot: Record quality audit + String normalisation + Date by category pivot for supplied camera coverage records (shot_count, coverage_seconds). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-creative-12-206?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_3UVO8pUeksqurPTBkzaUI","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 three local analytical reports on camera coverage data (shot_count, coverage_seconds): a record quality audit, string normalisation, and a date-by-category pivot — all on up to 200 supplied rows, no external lookups.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and date-by-category pivot on my camera coverage data? I have up to 50 rows with fields row_id, asset_group, date, shot_count, and coverage_seconds — analyse the shot_count field and flag any quality issues, normalise the group names, and give me a pivot by date.","exampleUseCases":[{"title":"Camera shoot data quality check","prompt":"I've got a batch of 120 camera coverage records with shot counts and coverage seconds across different asset groups — can you run a record quality audit on them to find missing values, outliers, or formatting issues, focusing on the shot_count field?"},{"title":"Asset group name normalisation","prompt":"My camera coverage export has inconsistent capitalisation and spacing in the asset_group column across 80 rows. Can you normalise those strings and give me a clean report showing what was standardised?"},{"title":"Coverage seconds pivot by date and group","prompt":"I need a pivot table showing coverage_seconds broken down by date and asset_group for my 150 camera records — can you generate that along with a data quality summary?"}],"resultDescription":"Three independent reports delivered in one response: (1) a record quality audit flagging missing, null, out-of-range, or malformed values in the camera coverage rows; (2) a string normalisation report showing cleaned and standardised asset_group strings; (3) a date-by-category pivot table aggregating the selected metric (shot_count or coverage_seconds) across dates and asset groups. All computed locally from the supplied data with no external calls.","failureModes":["Payload exceeds 200 rows — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes row-level validation errors","Null values in shot_count or coverage_seconds may reduce pivot accuracy","Unsupported field value outside enum ['shot_count','coverage_seconds'] causes schema validation failure","Empty rows array returns an error — at least 1 row required"],"whenToPreferThis":"Choose this endpoint when you need three analytical operations on camera coverage data in a single $0.01 call without any external API dependency or live data lookup. It is ideal for batch data-cleaning workflows where you want quality auditing, string normalisation, and pivot summarisation delivered together for up to 200 rows. Prefer it over separate per-operation endpoints when cost and latency efficiency matter and all data is already on hand.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:18.245Z","isFirstParty":false,"canonicalSlug":"camera-coverage-record-quality-audit-string-normalisation-date-by-4c927c26"}