{"uid":"cap_lZp6IodL1flZX227FlGP6","slug":"label-review-analytics-base-100-series-equal-width-histogram-852e63cd","name":"Label Review Analytics: Base-100 Series + Equal-Width Histogram","description":"Label review — Base-100 series + Equal-width histogram: Base-100 series + 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-12-163?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"},"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_f0RwJdmEk3iov5rNzNKlc","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 — a base-100 indexed time series and an equal-width histogram — from user-supplied label review records (reviewed_records, changed_labels) for up to 200 rows.","exampleAgentPrompt":"Take my label review data for October 2026 — 4 rows across group-a and group-b — and run both a base-100 series (starting from row index 0) and a 5-bin equal-width histogram on the reviewed_records field.","exampleUseCases":[{"title":"QA trend analysis for annotation team","prompt":"I have 50 rows of annotation review logs with dates, dataset groups, and reviewed_records counts — can you index them to base-100 starting from row 0 and also give me a 10-bin histogram of reviewed_records so I can see the distribution?"},{"title":"Label change rate distribution review","prompt":"Run a base-100 series and an equal-width histogram with 8 bins on the changed_labels field for my dataset — I've got about 120 review records across three groups from the past quarter."},{"title":"ML dataset audit summary report","prompt":"I need to audit our labeling pipeline: here are 200 rows of daily label review records. Please generate a base-100 trend (starting from row index 0) and a 5-bin histogram on reviewed_records so I can spot any outliers or unusual days."}],"resultDescription":"Two analytical reports: (1) a base-100 indexed series showing relative change in the selected field (reviewed_records or changed_labels) anchored to the specified base row, and (2) an equal-width histogram breaking the selected field's values into the requested number of bins with counts per bin — all computed locally from the supplied data with no external lookups.","failureModes":["Rows array is empty or missing — returns validation error","More than 200 rows supplied — rejected at schema level","base_index out of range for the provided rows — may produce error or undefined base value","Null values in reviewed_records or changed_labels may affect histogram and index calculations","Invalid date format (not YYYY-MM-DD) causes schema rejection","bins value outside 1–30 range causes validation failure"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of label review records and need both a normalized trend (base-100 series) and a distributional summary (equal-width histogram) in a single low-cost call ($0.01 USDC). It is ideal for MLOps, annotation QA, or data labeling teams who want offline, deterministic analytics on their own supplied data without any external data fetching, ML inference, or professional assessment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:18.963Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-base-100-series-equal-width-histogram-852e63cd"}