{"uid":"cap_6-4lOC-nSuQ2GmF8noxET","slug":"label-review-analytics-grouped-numeric-summary-numeric-row-ordering-115faeaf","name":"Label Review Analytics: Grouped Numeric Summary + Numeric Row Ordering","description":"Label review — Grouped numeric summary + Numeric row ordering: Grouped numeric summary + 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-12-087?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_eqijH0F4NyOUkmfFA3NsS","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":"Produces two analytical reports from label review records: a grouped numeric summary (by dataset_group) and a numeric row ordering, for up to 200 supplied rows.","exampleAgentPrompt":"Can you run a grouped numeric summary and a numeric row ordering on my label review data? I have 4 rows across two dataset groups — group-a and group-b — with dates from 2026-10-01 to 2026-10-04, reviewed_records counts of 10, 20, 15, and 30, and changed_labels of 1, 2, 3, and 4. Use reviewed_records as the field for ordering.","exampleUseCases":[{"title":"Summarize label review by dataset group","prompt":"I have a week's worth of label review records split across three dataset groups. Can you give me a grouped numeric summary of the reviewed_records and also rank the rows numerically? Here are my rows: row-1 on 2026-11-01 in group-alpha with 50 reviewed_records and 5 changed_labels, row-2 on 2026-11-02 in group-beta with 80 reviewed_records and 12 changed_labels, row-3 on 2026-11-03 in group-alpha with 40 reviewed_records and 3 changed_labels. Use reviewed_records as the field."},{"title":"Rank annotation sessions by changed labels","prompt":"I want to see my annotation sessions ranked by changed_labels. I have 5 rows: row-1 group-x 2026-09-01 reviewed_records=100 changed_labels=8, row-2 group-y 2026-09-02 reviewed_records=200 changed_labels=22, row-3 group-x 2026-09-03 reviewed_records=150 changed_labels=5, row-4 group-y 2026-09-04 reviewed_records=90 changed_labels=15, row-5 group-x 2026-09-05 reviewed_records=130 changed_labels=11. Please use changed_labels as the field for the numeric ordering and also give me a grouped summary by dataset group."},{"title":"Audit label change rates across review cycles","prompt":"Can you analyze these label review records for me and produce a grouped summary plus a numeric row ranking? I've got 6 rows from two review cycles — cycle-A and cycle-B — spanning 2026-12-01 to 2026-12-06, with reviewed_records ranging from 25 to 200 and changed_labels from 0 to 40. I'll paste the full data: row-1 cycle-A 2026-12-01 reviewed_records=25 changed_labels=0, row-2 cycle-B 2026-12-02 reviewed_records=100 changed_labels=10, row-3 cycle-A 2026-12-03 reviewed_records=50 changed_labels=5, row-4 cycle-B 2026-12-04 reviewed_records=200 changed_labels=40, row-5 cycle-A 2026-12-05 reviewed_records=75 changed_labels=8, row-6 cycle-B 2026-12-06 reviewed_records=120 changed_labels=15. Use reviewed_records as the field."}],"resultDescription":"Returns two analytical reports: (1) a grouped numeric summary aggregating reviewed_records or changed_labels statistics by dataset_group, and (2) a numerically ordered ranking of all input rows by the selected field. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) — validation error","Date field not in YYYY-MM-DD format — schema validation failure","Numeric fields outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — rejected","Invalid field enum value (must be 'reviewed_records' or 'changed_labels') — validation error","Empty rows array — rejected due to minItems constraint"],"whenToPreferThis":"Choose this endpoint when you need both a grouped aggregate summary and a numeric row ranking for label review data (reviewed_records, changed_labels) in a single $0.01 call covering up to 200 rows. It is purpose-built for ML label review analytics and requires no external data sources or predictions — ideal for offline or batch post-processing of review session logs.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:53:29.897Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-grouped-numeric-summary-numeric-row-ordering-115faeaf"}