{"uid":"cap_8hbTL2vOGjWWHbrQQHTQw","slug":"render-jobs-string-normalisation-daily-sum-series-dbbf919e","name":"Render Jobs String Normalisation + Daily Sum Series","description":"Render jobs — String normalisation + Daily sum series: String normalisation + Daily sum series 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-02-027?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_HN7HBrPKxbEEHyVQ6RUv9","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":"Accepts up to 200 render job records and returns two analytical reports: string normalisation of asset/group fields and a daily sum time series for render_seconds or sample_count.","exampleAgentPrompt":"Can you run string normalisation and a daily sum series on my render job logs? I have 200 rows with render_seconds and sample_count fields, and I want to analyze render_seconds across asset groups over dates in October 2026.","exampleUseCases":[{"title":"Daily render throughput trend analysis","prompt":"I have a month of render job records — each row has a date, asset group, and render_seconds. Can you normalize the asset group names and give me a daily total of render_seconds so I can see throughput trends?"},{"title":"Sample count aggregation for billing audit","prompt":"I need to sum up sample_count by day across all my render jobs for Q4. I have about 150 rows. Can you run the daily sum series report on sample_count and clean up the string fields at the same time?"},{"title":"Multi-group render pipeline reporting","prompt":"We have render jobs split across group-a and group-b going from October 1st to October 4th, with render_seconds logged per row. Can you normalize the group names and produce a daily sum series so I can compare output across dates?"}],"resultDescription":"Two analytical reports: (1) string normalisation results for the asset_group and related string fields across supplied rows, and (2) a daily sum time series for the selected numeric field (render_seconds or sample_count) aggregated by date — both computed locally without any external data lookup.","failureModes":["Fewer than 1 row supplied returns a validation error","More than 200 rows causes rejection due to maxItems limit","Invalid date format (not YYYY-MM-DD) fails schema validation","Null numeric values may be excluded from daily sums","Invalid field enum value (not render_seconds or sample_count) causes rejection","Missing required fields (row_id, date, asset_group) cause row-level errors"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and a daily sum time series in a single cheap call ($0.01 USDC) on up to 200 rows of render job data. It is ideal for media/rendering pipeline analytics where you want to clean asset group labels and inspect daily throughput trends without any external API dependencies or live data lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:57:33.748Z","isFirstParty":false,"canonicalSlug":"render-jobs-string-normalisation-daily-sum-series-dbbf919e"}