{"uid":"cap_J0lDdsVevmzZW_jh18-fv","slug":"label-review-numeric-distribution-base-100-series-313e91b8","name":"Label Review — Numeric Distribution + Base-100 Series","description":"Label review — Numeric distribution + Base-100 series: Numeric distribution + Base-100 series 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-12-078?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_L95RQB7gRPshj-UpfYUh1","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 numeric distribution report and a base-100 index series for label review data (reviewed_records and changed_labels), returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run a numeric distribution and base-100 index series on my label review data? I have up to 50 rows across two dataset groups, I want to analyze the 'reviewed_records' field, and I'd like the base index set to row 0.","exampleUseCases":[{"title":"ML label audit trend analysis","prompt":"I have a week's worth of label review records across two dataset groups — can you compute the numeric distribution and a base-100 series for 'reviewed_records' so I can see how review volume is trending relative to the first day?"},{"title":"Changed labels distribution check","prompt":"Run a numeric distribution and base-100 index series on my changed_labels data from the last 30 label review sessions — use row 0 as the base and group by dataset_group so I can spot anomalies."},{"title":"Dataset group label quality comparison","prompt":"I've got label review records for two dataset groups from October and want to compare how 'changed_labels' is distributed and indexed over time — can you generate both the numeric distribution and the base-100 series with the base at index 0?"}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution summarizing the statistical spread of the selected field (reviewed_records or changed_labels) across the supplied rows, and (2) a base-100 index series showing each row's value relative to the chosen base row, both computed locally without external lookups or predictions. Up to 200 rows processed per call.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required row fields (row_id, date, reviewed_records, changed_labels) causes validation error","Invalid date format (must match YYYY-MM-DD) causes schema rejection","base_index out of range (must be 0–199 and within actual row count) causes computation error","All values null for selected field yields degenerate or empty distribution"],"whenToPreferThis":"Choose this endpoint when you need both a statistical distribution and a base-100 trend index for label review metrics (reviewed_records or changed_labels) on a batch of up to 200 rows, without requiring any external data lookups, predictions, or professional assessments. It is especially well-suited for ML pipeline quality reviews, label audit reporting, and dataset group comparisons where two complementary analytical views are needed in a single low-cost call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:14.815Z","isFirstParty":false,"canonicalSlug":"label-review-numeric-distribution-base-100-series-313e91b8"}