{"uid":"cap_06dq-NGfqbYf6nhZlm1Td","slug":"render-jobs-string-normalisation-keyed-dataset-comparison-eacd3ce8","name":"Render Jobs — String Normalisation + Keyed Dataset Comparison","description":"Render jobs — String normalisation + Keyed dataset comparison: String normalisation + Keyed dataset comparison 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-02-036?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"asset_group":{"type":"string","default":"","maxLength":80},"sample_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"render_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","asset_group":"group-a","sample_count":1,"render_seconds":10},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","sample_count":2,"render_seconds":20},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","sample_count":3,"render_seconds":15},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","sample_count":4,"render_seconds":30}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","render_seconds","sample_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","sample_count":3,"render_seconds":17},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","sample_count":4,"render_seconds":33}],"maxItems":200,"minItems":0}}},"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_YLMyttcvdfW2IwQngQ8um","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":"Normalises string fields and performs keyed row-by-row comparison between two render jobs datasets (render_seconds, sample_count), returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Compare these two sets of render job records for me — the baseline has rows like row-1 through row-4 with asset groups and render_seconds values, and the updated set has slightly different render times. Normalise the string fields and give me a keyed comparison report showing what changed, up to 200 rows.","exampleUseCases":[{"title":"Before/after render time audit","prompt":"I have two snapshots of our render farm jobs — one from last week and one from this week — each with row IDs, asset groups, dates, render_seconds and sample_count. Can you normalise the asset group names and do a keyed comparison to show me exactly which rows changed and by how much?"},{"title":"QA check on re-rendered asset batch","prompt":"We re-rendered a batch of assets and I need to verify the output against the original. I have both datasets with up to 150 rows each, keyed by row_id and asset_group. Please normalise the string fields and compare the two to flag any differences in render_seconds or sample_count."},{"title":"Cross-team render pipeline reconciliation","prompt":"Two teams submitted render job reports for the same scenes but with slightly different values. Can you take both datasets — up to 200 rows, with render_seconds and sample_count per row — normalise the text fields so groupings are consistent, then produce a keyed comparison report showing mismatches?"}],"resultDescription":"Returns two analytical reports: (1) a string normalisation report standardising text fields like asset_group across the supplied rows, and (2) a keyed dataset comparison report matching rows from the primary and secondary datasets by row_id and highlighting differences in render_seconds and sample_count. No external data is fetched; all analysis is performed locally on the supplied data.","failureModes":["Missing required fields (row_id, asset_group, date, render_seconds, sample_count) causes validation error","Input exceeding 200 rows per array is rejected","Invalid date format (non-YYYY-MM-DD) causes schema validation failure","Empty rows array returns an error","Numeric values outside ±1,000,000,000,000 are rejected","Mismatched row_id keys between datasets will result in unmatched rows reported"],"whenToPreferThis":"Choose this endpoint when you have two structured render job datasets keyed by row_id and need both string-field normalisation (e.g. cleaning up inconsistent asset_group names) and a row-level diff of numeric metrics (render_seconds, sample_count) in a single low-cost call. Ideal for render pipeline QA, before/after comparisons, and cross-team reconciliation of up to 200 rows without requiring an external database or live lookup.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:48:59.540Z","isFirstParty":false,"canonicalSlug":"render-jobs-string-normalisation-keyed-dataset-comparison-eacd3ce8"}