{"uid":"cap_wLKZLqLpDGUgL-jb19yXi","slug":"label-review-analytics-numeric-distribution-adjacent-row-changes-b0836a63","name":"Label Review Analytics: Numeric Distribution + Adjacent Row Changes","description":"Label review — Numeric distribution + Adjacent row changes: Numeric distribution + 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-12-077?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_R1CuNRfC-lNdG7Gx3terQ","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":"Runs two local analytical reports on label review data — numeric distribution and adjacent row changes — for up to 200 rows of reviewed_records or changed_labels metrics.","exampleAgentPrompt":"Can you run a numeric distribution and adjacent row changes analysis on my label review data? I have rows for group-a and group-b spanning 2026-10-01 to 2026-10-04 with reviewed_records values like 10, 20, 15, 30 and changed_labels like 1, 2, 3, 4 — analyze the reviewed_records field.","exampleUseCases":[{"title":"Spot anomalies in annotation batches","prompt":"I have 50 rows of label review data across several dataset groups from last month. Can you run a numeric distribution and adjacent row changes report on the reviewed_records field so I can see if any batches look abnormally large or show sudden jumps?"},{"title":"Track labeling churn across review cycles","prompt":"Here are 120 rows of my label review history with dates, dataset groups, and changed_labels counts. Run both the distribution and adjacent-row-change reports on changed_labels so I can understand how volatile my label churn is across consecutive review sessions."},{"title":"QA check on annotation pipeline output","prompt":"My annotation team just completed a review cycle and I have 80 rows with reviewed_records and changed_labels. Can you generate a numeric distribution plus adjacent row changes analysis on reviewed_records to verify the pipeline is behaving consistently across groups?"}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution summary of the selected field (reviewed_records or changed_labels) across all supplied rows, and (2) an adjacent row changes report showing delta values between consecutive rows — all computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request exceeds row limit","Missing required fields (row_id, date, reviewed_records, changed_labels) — validation error","Date field not matching YYYY-MM-DD pattern — schema rejection","Null values in numeric fields may affect distribution computation","Invalid field enum value (must be 'reviewed_records' or 'changed_labels')"],"whenToPreferThis":"Choose this endpoint when you need quick, local, self-contained analytical reports on label review tabular data without any external API calls or predictions — specifically when you want both a numeric distribution summary and row-to-row change analysis in a single $0.01 call for up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:53:26.282Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-numeric-distribution-adjacent-row-changes-b0836a63"}