{"uid":"cap_n5cnrvXsm84fWWlqTgT4A","slug":"label-review-analytics-equal-width-histogram-date-by-category-pivot-766ba818","name":"Label Review Analytics: Equal-Width Histogram + Date by Category Pivot","description":"Label review — Equal-width histogram + Date by category pivot: Equal-width histogram + Date by category pivot 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-12-173?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_y9cgYL8Ymy5kFDmM_zalv","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 — an equal-width histogram and a date-by-category pivot table — from supplied label review data (reviewed_records, changed_labels), for up to 200 rows.","exampleAgentPrompt":"Can you run two analytics reports on my label review data — an equal-width histogram with 10 bins on the reviewed_records field, and a date-by-category pivot — for these rows: [{\"row_id\":\"r1\",\"dataset_group\":\"vision-a\",\"date\":\"2024-01-15\",\"reviewed_records\":120,\"changed_labels\":8},{\"row_id\":\"r2\",\"dataset_group\":\"vision-b\",\"date\":\"2024-01-16\",\"reviewed_records\":95,\"changed_labels\":3}]?","exampleUseCases":[{"title":"Annotation quality distribution check","prompt":"I have 150 rows of label review records from last month — can you generate a histogram with 8 bins on the reviewed_records field so I can see how review volume is distributed across my annotation batches?"},{"title":"Dataset group activity pivot","prompt":"Run a date-by-category pivot on this label review dataset — I want to see how changed_labels break down across my dataset groups (group-a and group-b) over the past two weeks. Here are the rows."},{"title":"ML pipeline review audit","prompt":"Can you give me both an equal-width histogram with 5 bins and a date-by-category pivot for these label review records from our NLP pipeline? I want to audit where the most label changes are concentrated — use changed_labels as the target field."}],"resultDescription":"Returns two analytical reports computed locally from the supplied data: (1) an equal-width histogram showing frequency distribution of the chosen field (reviewed_records or changed_labels) across the specified number of bins (1–30), and (2) a date-by-category pivot table cross-tabulating values by date and dataset_group. No external lookups or predictions are made.","failureModes":["Exceeding 200 rows returns a validation error","Invalid date format (not YYYY-MM-DD) causes row rejection","bins value outside 1–30 range is rejected","Null values in reviewed_records or changed_labels may affect histogram accuracy","Missing required row fields (row_id, date, dataset_group) cause schema validation failure","Payment of 0.01 USDC not completed results in 402 response"],"whenToPreferThis":"Choose this endpoint when you have label review data with reviewed_records and changed_labels fields and need both a histogram distribution analysis and a date-by-category pivot in a single low-cost call. Ideal for ML annotation pipelines, data quality audits, and labeling workflow analysis where up to 200 rows need quick statistical summaries without external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-03T06:41:16.516Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-equal-width-histogram-date-by-category-pivot-766ba818"}