{"uid":"cap_4mW9hzpoAwxrbpM5A4Blo","slug":"label-review-analytics-category-frequencies-equal-width-histogram-02e2de64","name":"Label Review Analytics: Category Frequencies + Equal-Width Histogram","description":"Label review — Category frequencies + Equal-width histogram: Category frequencies + 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-12-106?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_5KFX7fuC4ZBlrjMraYdWP","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 category frequency distribution and an equal-width histogram for label review records (reviewed_records or changed_labels) across up to 200 rows in a single call.","exampleAgentPrompt":"Can you run category frequency analysis and a 10-bin equal-width histogram on this label review data — use the changed_labels field — I have 4 rows: row-1 on 2026-10-01 group-a with 1 changed and 10 reviewed, row-2 on 2026-10-02 group-b with 2 changed and 20 reviewed, row-3 on 2026-10-03 group-a with 3 changed and 15 reviewed, row-4 on 2026-10-04 group-b with 4 changed and 30 reviewed?","exampleUseCases":[{"title":"Label drift monitoring by dataset group","prompt":"I have 50 rows of label review data from last month across three dataset groups. Can you give me a category frequency breakdown and a 5-bin histogram on the changed_labels field so I can see where label drift is concentrated?"},{"title":"QA audit of annotation throughput","prompt":"Run a frequency analysis and equal-width histogram with 8 bins on the reviewed_records column for my 120-row annotation audit log — I want to see how throughput is distributed across our dataset groups."},{"title":"Spot-checking label correction rates","prompt":"Here are 30 label review records from our last sprint. Give me the category frequencies per group and a 10-bin histogram on changed_labels so I can spot which groups have unusually high correction rates."}],"resultDescription":"Two analytical reports: (1) a category frequency table showing counts per dataset_group value, and (2) an equal-width histogram of the selected numeric field (reviewed_records or changed_labels) broken into the requested number of bins, including bin edges and counts — all computed locally on the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required row fields (row_id, dataset_group, date, reviewed_records, changed_labels) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema error","bins value outside 1–30 range rejected","Null values in the selected numeric field may affect histogram bin counts","All null values in target field may result in empty histogram"],"whenToPreferThis":"Choose this endpoint when you need a quick, self-contained frequency and histogram analysis on label review tabular data (up to 200 rows) without sending data to an external ML or analytics platform. It is ideal for lightweight QA checks on annotation pipelines, label change audits, or distribution summaries where only category groupings and numeric distributions are needed and no prediction or live enrichment is required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:06.375Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-category-frequencies-equal-width-histogram-02e2de64"}