{"uid":"cap_X-fdcbeo_yHjIfp2QEcWp","slug":"label-review-analytics-numeric-row-ordering-equal-width-histogram-d3e4ca69","name":"Label Review Analytics: Numeric Row Ordering + Equal-Width Histogram","description":"Label review — Numeric row ordering + Equal-width histogram: Numeric row ordering + Equal-width histogram 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-12-118?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_NanqdcNX7Umr_A7RDRaWt","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 — numeric row ordering and an equal-width histogram — for label review data (reviewed_records and changed_labels) across up to 200 rows.","exampleAgentPrompt":"I have label review data for 4 dataset groups — can you generate a numeric row ordering report and a 5-bin equal-width histogram on the reviewed_records field? Here are the rows: row-1 (group-a, 2026-10-01, reviewed=10, changed=1), row-2 (group-b, 2026-10-02, reviewed=20, changed=2), row-3 (group-a, 2026-10-03, reviewed=15, changed=3), row-4 (group-b, 2026-10-04, reviewed=30, changed=4).","exampleUseCases":[{"title":"ML pipeline label quality audit","prompt":"I need to audit my ML labeling pipeline — can you rank these 12 label review records by reviewed_records and also give me an equal-width histogram with 8 bins so I can see how the workload is distributed across dataset groups?"},{"title":"Changed labels distribution report","prompt":"Take these 50 label review rows and produce a row ordering plus a 10-bin histogram on the changed_labels field — I want to see if there are any outlier dates where we made unusually many label corrections."},{"title":"Dataset group comparison across review batches","prompt":"Here are 150 label review records across 6 dataset groups from last quarter. Generate a numeric row ordering and a 5-bin equal-width histogram on reviewed_records so I can compare review volume distribution across the batches."}],"resultDescription":"Two analytical reports computed locally from the supplied data: (1) a numeric row ordering that ranks the provided rows by the chosen field (reviewed_records or changed_labels), and (2) an equal-width histogram with the specified number of bins showing frequency distribution of the same field across the input rows. No external lookups or predictions are made.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes row validation failure","bins parameter out of range (must be 1–30) causes error","Null values in the target field may be excluded or cause incomplete histogram bins","Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) cause row rejection"],"whenToPreferThis":"Choose this endpoint when you need fast, self-contained numeric ordering and histogram analysis on label review data (reviewed_records or changed_labels) without any external data lookup or ML prediction. Ideal for auditing label correction volumes, understanding workload distribution across dataset groups, or generating summary statistics on up to 200 label review records for a fixed low cost of $0.01 USDC for both reports together.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:55:23.708Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-numeric-row-ordering-equal-width-histogram-d3e4ca69"}