{"uid":"cap_CN_AzSFBDzfChf8GE39sT","slug":"label-review-analytics-grouped-numeric-summary-base-100-series-b4577e01","name":"Label Review Analytics — Grouped Numeric Summary + Base-100 Series","description":"Label review — Grouped numeric summary + Base-100 series: Grouped numeric summary + Base-100 series 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-12-092?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"},"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_HEWDXVJQszs-Jijl8PvR5","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 from label review data: a grouped numeric summary and a base-100 indexed time series for reviewed_records or changed_labels, across up to 200 rows.","exampleAgentPrompt":"Can you run two reports on my label review data — a grouped numeric summary and a base-100 series indexed to the first row — using the 'reviewed_records' field? Here are up to 200 rows with row_id, dataset_group, date, reviewed_records, and changed_labels.","exampleUseCases":[{"title":"Track annotation quality trends over time","prompt":"I have 150 rows of label review records with dates, dataset groups, reviewed_records, and changed_labels. Can you give me a base-100 series on 'changed_labels' starting from row index 0, so I can see how label change rates have evolved relative to the starting point?"},{"title":"Compare label review volumes across teams","prompt":"My ML team has label review data across three dataset groups. Can you produce a grouped numeric summary so I can see total reviewed_records and changed_labels per group and understand which team is reviewing the most and changing the most labels?"},{"title":"Spot label correction spikes in a review cycle","prompt":"Here's our monthly label review export — about 80 rows covering two dataset groups over three months. Run the grouped summary and a base-100 series on 'reviewed_records' indexed from the first entry so I can spot any spikes or dips in our annotation correction rate."}],"resultDescription":"Returns two independent analytical reports computed locally from the supplied rows: (1) a grouped numeric summary aggregating reviewed_records and changed_labels by dataset_group, and (2) a base-100 indexed time series for the selected field (reviewed_records or changed_labels), normalizing values relative to the row at base_index. No external data is fetched or predicted.","failureModes":["Fewer than 1 row or more than 200 rows supplied — request rejected","Invalid date format (must match YYYY-MM-DD pattern)","base_index out of range (must be 0–199 and within actual row count)","Null values in reviewed_records or changed_labels may affect aggregation accuracy","field value not one of 'reviewed_records' or 'changed_labels' — schema validation error","row_id missing or exceeding 80 characters — rejected per schema constraints"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of label review data (with dataset_group, date, reviewed_records, changed_labels) and need both a grouped summary and a normalized base-100 trend series in a single low-cost call. Ideal for ML/data teams auditing annotation quality without needing live data lookup, predictions, or external enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:13.123Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-grouped-numeric-summary-base-100-series-b4577e01"}