{"uid":"cap_fthsWU8feNfv2YdaRegSd","slug":"label-review-daily-sum-series-adjacent-row-changes-7b9afa2e","name":"Label Review — Daily Sum Series + Adjacent Row Changes","description":"Label review — Daily sum series + Adjacent row changes: Daily sum series + Adjacent row changes 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-12-137?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"}}},"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_Xvy2IcCexy1R9TBs083fh","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":"Computes a daily sum time series and adjacent row change analysis for label review data (reviewed_records and changed_labels) over up to 200 rows.","exampleAgentPrompt":"I have label review records with dates, dataset groups, reviewed_records, and changed_labels — can you run both a daily sum series and adjacent row change report on reviewed_records for up to 200 rows?","exampleUseCases":[{"title":"Daily annotation activity trend report","prompt":"I have 150 rows of label review data with dates, dataset groups, reviewed_records, and changed_labels — can you give me a daily sum series and row-over-row change breakdown for reviewed_records so I can see how annotation volume trended this month?"},{"title":"Spotting label correction spikes","prompt":"I want to audit our changed_labels field across these label review records — can you run a daily sum series and adjacent row change report on changed_labels to help me spot days where corrections spiked?"},{"title":"Comparing two dataset groups over time","prompt":"Here are my label review rows split across group-a and group-b with dates and reviewed_records counts — run the daily sum series and adjacent row changes report on reviewed_records so I can compare how each group tracked day by day."}],"resultDescription":"Returns two analytical reports: (1) a daily sum series aggregating the selected field (reviewed_records or changed_labels) by date, and (2) an adjacent row change analysis showing the difference between consecutive rows — both computed locally from the supplied data with no external lookups.","failureModes":["Input exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, date, reviewed_records, changed_labels) cause validation errors","Invalid date format (not YYYY-MM-DD) causes parsing failures","Null values in the selected numeric field may produce incomplete aggregations","Unsupported field enum value causes schema validation error"],"whenToPreferThis":"Choose this endpoint when you have tabular label review data with dates and want both a daily aggregation trend and a row-level sequential diff in a single low-cost call. It is ideal for ML annotation QA pipelines, labeling audit workflows, or any scenario where you need to monitor daily reviewed_records or changed_labels patterns without any external data lookup or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:31.557Z","isFirstParty":false,"canonicalSlug":"label-review-daily-sum-series-adjacent-row-changes-7b9afa2e"}