{"uid":"cap_a2HtnYPY0p0Uj8zXcObTn","slug":"label-review-analytics-numeric-distribution-row-ordering-7942ef4d","name":"Label Review Analytics: Numeric Distribution + Row Ordering","description":"Label review — Numeric distribution + Numeric row ordering: Numeric distribution + Numeric row ordering 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-12-073?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_xGEsr-Cwk4KWth_45jGnp","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 numeric distribution statistics and row ordering reports for label review records (reviewed_records and changed_labels fields) across up to 200 rows.","exampleAgentPrompt":"Analyze the distribution of reviewed_records and rank the rows for my label review data — I have 4 entries: row-1 on 2026-10-01 in group-a with 10 reviewed and 1 changed, row-2 on 2026-10-02 in group-b with 20 reviewed and 2 changed, row-3 on 2026-10-03 in group-a with 15 reviewed and 3 changed, row-4 on 2026-10-04 in group-b with 30 reviewed and 4 changed; use reviewed_records as the target field.","exampleUseCases":[{"title":"Distribution check for annotation sprint","prompt":"I have 50 label review records from our last annotation sprint — can you compute the numeric distribution of changed_labels across all rows and also rank the rows by that field? Here are the rows with row IDs, dates, dataset groups, reviewed_records, and changed_labels values."},{"title":"ML pipeline quality audit by group","prompt":"Can you run a distribution and row ordering report on reviewed_records for these 120 label review rows from our ML pipeline? I want to see how the numbers spread and which rows rank highest — the data includes row_id, date, dataset_group, reviewed_records, and changed_labels for each entry."},{"title":"Comparing changed labels across dataset groups","prompt":"I want to understand how changed_labels are distributed and ordered across my two dataset groups — here are 30 label review records with dates ranging from 2025-01-01 to 2025-01-30, each with a row_id, dataset_group, reviewed_records, and changed_labels. Please use changed_labels as the field for both reports."}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution report showing statistical spread (e.g. min, max, mean, percentiles, histogram bins) for the selected field (reviewed_records or changed_labels), and (2) a row ordering report that ranks the supplied rows by the selected numeric field — all computed locally without any external lookups or predictions, covering up to 200 input rows.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, date, reviewed_records, changed_labels) cause row-level validation errors","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","Numeric values outside allowed range (-1T to +1T) rejected","All null values for the selected field yields empty or degenerate distribution","Invalid field enum value (not 'reviewed_records' or 'changed_labels') causes a schema error"],"whenToPreferThis":"Choose this endpoint when you have label review data with reviewed_records and changed_labels fields and need both a numeric distribution summary and a ranked ordering of rows in a single $0.01 call. It is purpose-built for annotation quality workflows and ML label review pipelines, operating entirely on supplied data without any external lookups. Prefer it over generic statistics APIs when your data matches the label review schema (row_id, dataset_group, date, reviewed_records, changed_labels) and you want two bundled reports at minimal cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:53:36.407Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-numeric-distribution-row-ordering-7942ef4d"}