{"uid":"cap_LUe2vqVFh4ijakbUQcLgn","slug":"render-jobs-string-normalisation-secondary-measure-weighted-mean-e1735be3","name":"Render Jobs String Normalisation + Secondary-Measure Weighted Mean","description":"Render jobs — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean for supplied render jobs records (render_seconds, sample_count). 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-02-034?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"}}},"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_reEZyHRSTAkJ8igX77IAv","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":"Applies string normalisation and secondary-measure weighted mean analysis to up to 200 render job records containing render_seconds and sample_count fields, returning two independent analytical reports.","exampleAgentPrompt":"Can you normalise the render job data and compute the secondary-measure weighted mean for render_seconds across these 4 rows: row-1 on 2026-10-01 in group-a with render_seconds=10 and sample_count=1, row-2 on 2026-10-02 in group-b with render_seconds=20 and sample_count=2, row-3 on 2026-10-03 in group-a with render_seconds=15 and sample_count=3, and row-4 on 2026-10-04 in group-b with render_seconds=30 and sample_count=4?","exampleUseCases":[{"title":"Render farm performance summary","prompt":"I have 50 render job records from last week across two asset groups — can you normalise the render_seconds values and give me the weighted mean using sample_count as the secondary measure, with render_seconds as the target field?"},{"title":"Asset group render time comparison","prompt":"Run a string normalisation and sample-count-weighted mean analysis on these render jobs for group-a and group-b from October — I want to see how render_seconds average out when weighted by sample_count."},{"title":"Pipeline QA for animation studio","prompt":"We're auditing our animation render pipeline and need two independent analytical reports: normalise the job names and compute a secondary-measure weighted mean for render_seconds across 120 render records. Can you do that with our submitted rows?"}],"resultDescription":"Returns two independent analytical reports: one covering string normalisation of the supplied render job records and one covering the secondary-measure weighted mean for the selected field (render_seconds or sample_count), computed locally against up to 200 input rows without any external lookups or predictions.","failureModes":["Exceeds 200-row limit — request rejected or truncated","Missing required fields (row_id, date, asset_group, render_seconds, sample_count) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Numeric values outside ±1,000,000,000,000 range fail schema validation","Empty rows array not accepted (minItems: 1)","Invalid field enum value (must be 'render_seconds' or 'sample_count') causes error"],"whenToPreferThis":"Choose this endpoint when you have render job tabular data (up to 200 rows) and need both string normalisation and a secondary-measure weighted mean in a single low-cost call. It is ideal for creative/media pipeline analytics where render duration and sample count are the core metrics, and no live data, external lookup, or predictive modelling is required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T06:49:55.252Z","isFirstParty":false,"canonicalSlug":"render-jobs-string-normalisation-secondary-measure-weighted-mean-e1735be3"}