{"uid":"cap_lvcyNq_96ahaZEI80rEuf","slug":"label-review-analytics-base-100-series-date-by-category-pivot-8dd1cbab","name":"Label Review Analytics — Base-100 Series + Date by Category Pivot","description":"Label review — Base-100 series + Date by category pivot: Base-100 series + Date by category pivot for supplied label review records (reviewed_records, changed_labels). 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-analytics-12-167?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","reviewed_records","changed_labels"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"changed_labels":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"reviewed_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","changed_labels":1,"reviewed_records":10},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","changed_labels":2,"reviewed_records":20},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","changed_labels":3,"reviewed_records":15},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","changed_labels":4,"reviewed_records":30}],"maxItems":200,"minItems":1},"field":{"enum":["reviewed_records","changed_labels"],"type":"string","default":"reviewed_records"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":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_nkvD1ZhW64y0F6zHW3w6f","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":"Generates two analytical reports from label review data: a Base-100 indexed time series and a date-by-category pivot table, for up to 200 rows of reviewed_records or changed_labels data.","exampleAgentPrompt":"Can you run a base-100 series and a date-by-category pivot on my label review data? I have 4 rows of reviewed_records across two dataset groups (group-a and group-b) from 2026-10-01 to 2026-10-04, and I want to index from row 0.","exampleUseCases":[{"title":"Tracking annotation quality over time","prompt":"I have weekly label review records for two dataset groups — group-alpha and group-beta — covering 2026-Q1 (about 90 rows total). Can you index the reviewed_records to base-100 starting from row 0 and also pivot them by date and category so I can see trends?"},{"title":"Comparing changed labels across groups","prompt":"My team reviewed labels across three dataset groups last month and I have 150 rows of data with date, group, and changed_labels counts. Can you generate a base-100 series for changed_labels starting at index 0, plus a pivot showing changed_labels by date and dataset group?"},{"title":"Baseline normalization for ML audit report","prompt":"I need to prepare an audit report on our label review pipeline. I've got 60 rows of reviewed_records across four dataset groups. Can you base-100 index the reviewed_records from row 0 and create a date-by-category pivot so I can include both views in my report?"}],"resultDescription":"Returns two independent analytical reports: (1) a Base-100 indexed time series normalizing the chosen metric (reviewed_records or changed_labels) relative to the specified base row index, and (2) a date-by-category pivot table cross-tabulating values by date and dataset_group. Both are computed locally from supplied data with no external lookups.","failureModes":["Empty or missing rows array returns an error","More than 200 rows supplied exceeds the limit and is rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","base_index value pointing beyond the number of supplied rows causes an error","Null values in reviewed_records or changed_labels may affect base-100 calculation","field value not matching enum ('reviewed_records' or 'changed_labels') causes rejection"],"whenToPreferThis":"Choose this endpoint when you have label review tabular data (reviewed_records and changed_labels) and need both a base-100 normalized trend series AND a date-by-category pivot in a single low-cost call. Ideal for ML annotation pipelines, data quality audits, and labeling team performance reviews where you want to index metrics to a baseline period and cross-tab by dataset group simultaneously. Not suitable for live data lookups, predictions, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:53:22.789Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-base-100-series-date-by-category-pivot-8dd1cbab"}