{"uid":"cap_FQYEcPvMRB9PV-BuJJuo2","slug":"camera-coverage-record-quality-audit-and-string-normalisation-6e82d717","name":"Camera Coverage Record Quality Audit and String Normalisation","description":"Camera coverage — Record quality audit + String normalisation: Record quality audit + String normalisation 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-12-001?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}}},"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_bgnhtkh13FjwpYlEfrkTj","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":"Audits record quality and normalises strings in camera coverage datasets (shot_count, coverage_seconds) for up to 200 rows, returning 2 independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and string normalisation on my camera coverage data? I have 4 rows: row-1 on 2026-10-01 with asset_group 'group-a', shot_count 10, coverage_seconds 1; row-2 on 2026-10-02 with asset_group 'group-b', shot_count 20, coverage_seconds 2; row-3 on 2026-10-03 with 'group-a', 15 shots, 3 seconds; row-4 on 2026-10-04 with 'group-b', 30 shots, 4 seconds.","exampleUseCases":[{"title":"Pre-delivery camera coverage validation","prompt":"Before I deliver this camera coverage report to the client, can you audit the quality of my 50 coverage records — check shot_count and coverage_seconds for issues and normalise the asset_group strings so they're consistent?"},{"title":"Daily production data hygiene check","prompt":"Every morning I want to run a quality audit and string normalisation pass on yesterday's camera coverage log — here are 120 rows with row IDs, asset groups, dates, shot counts, and coverage seconds. Flag any problems and standardise the text fields."},{"title":"Post-shoot data QA for archive ingestion","prompt":"We just wrapped a multi-day shoot and I need to audit and clean the coverage records before archiving. Can you check these 80 rows for record quality issues and normalise the asset_group and date strings?"}],"resultDescription":"Two independent analytical reports: (1) a record quality audit identifying missing values, out-of-range numbers, malformed dates, and other data integrity issues across the supplied rows; (2) a string normalisation report showing standardised versions of text fields such as asset_group. Results are based entirely on the supplied data with no external lookups or predictions.","failureModes":["Rows array exceeds 200 items — request will be rejected or truncated","Missing required fields (row_id, asset_group, date, shot_count, coverage_seconds) cause row-level validation errors","Malformed date strings not matching YYYY-MM-DD pattern may trigger schema validation failure","Numeric values outside allowed range (-1e12 to 1e12) rejected by schema","Empty rows array (minItems: 1 not met) causes request failure","Payment of 0.01 USDC not included or rejected causes 402 response"],"whenToPreferThis":"Choose this endpoint when you have camera coverage records (shot_count, coverage_seconds) that need both a structured data quality audit and string normalisation in a single call, for up to 200 rows, at low cost ($0.01 USDC). Prefer this over generic data validation tools when your data is specifically camera/video coverage production data with asset_group identifiers. If you also need a secondary-measure weighted mean, use the sibling endpoint that bundles that third report.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T06:50:04.437Z","isFirstParty":false,"canonicalSlug":"camera-coverage-record-quality-audit-and-string-normalisation-6e82d717"}