{"uid":"cap_mPVBfggnkueIFbC8o6JhW","slug":"render-jobs-data-quality-audit-string-normalisation-numeric-interval-30007c06","name":"Render Jobs Data Quality Audit, String Normalisation & Numeric Interval Filter","description":"Render jobs — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter for supplied render jobs records (render_seconds, sample_count). 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-02-197?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","render_seconds","sample_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"asset_group":{"type":"string","default":"","maxLength":80},"sample_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"render_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","asset_group":"group-a","sample_count":1,"render_seconds":10},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","sample_count":2,"render_seconds":20},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","sample_count":3,"render_seconds":15},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","sample_count":4,"render_seconds":30}],"maxItems":200,"minItems":1},"field":{"enum":["render_seconds","sample_count"],"type":"string","default":"render_seconds"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_wiKQgqQxQ9P0NuxmnQwY8","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 analytical reports on render job records: a record quality audit, string normalisation check, and numeric interval filter for render_seconds or sample_count fields.","exampleAgentPrompt":"Can you run a quality audit, string normalisation check, and numeric interval filter on these render job records — I want to filter on render_seconds between 0 and 100? Here are up to 200 rows with row_id, asset_group, date, render_seconds, and sample_count.","exampleUseCases":[{"title":"Pre-pipeline render data validation","prompt":"I have a batch of render job records with row IDs, asset groups, dates, render_seconds, and sample_count — can you run a full quality audit, normalise the strings, and filter to only rows where render_seconds falls between 5 and 120?"},{"title":"Outlier detection in sample counts","prompt":"Can you audit these 150 render job rows for data quality issues, normalise any messy string fields, and flag rows where sample_count is outside the range 1 to 500?"},{"title":"Creative pipeline data cleaning","prompt":"Before I load these render job records into our pipeline, can you run the three data reports — quality audit, string normalisation, and a numeric interval filter on render_seconds between 0 and 300 — for all 80 rows?"}],"resultDescription":"Three structured analytical reports covering: (1) a record quality audit flagging missing, null, or malformed values; (2) a string normalisation report identifying and standardising inconsistencies in text fields like asset_group; and (3) a numeric interval filter report listing which rows have render_seconds or sample_count values within the specified minimum–maximum range. All reports are generated locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — minimum item count not met","More than 200 rows supplied — exceeds maxItems limit","Invalid date format not matching YYYY-MM-DD pattern","row_id missing or empty — required field","Numeric values for render_seconds or sample_count outside allowed range (-1e12 to 1e12)","Field selector not one of 'render_seconds' or 'sample_count' enum values","Minimum value greater than maximum value causing empty interval result"],"whenToPreferThis":"Choose this endpoint when you have render job records (up to 200 rows) and need three simultaneous data quality checks — record audit, string normalisation, and numeric range filtering — in a single low-cost call. It is ideal for pre-ingestion validation of creative pipeline data where you need local, offline-style analytics without any external API dependencies, predictions, or live lookups. Prefer this over general-purpose data tools when your data specifically contains render_seconds and sample_count fields tied to asset groups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:42.880Z","isFirstParty":false,"canonicalSlug":"render-jobs-data-quality-audit-string-normalisation-numeric-interval-30007c06"}