{"uid":"cap_oLyZX1gt-ETsbLPGW9a9Y","slug":"label-review-analytics-numeric-distribution-trailing-mean-series-fc2edbb4","name":"Label Review Analytics: Numeric Distribution + Trailing Mean Series","description":"Label review — Numeric distribution + Trailing mean series: Numeric distribution + Trailing mean 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-12-076?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_MXulvqLVkcgx8vvWRS3JY","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 numeric distribution statistics and a trailing mean time series for label review data (reviewed_records and changed_labels) supplied by the caller, up to 200 rows.","exampleAgentPrompt":"Analyze my label review data for the last week — I have up to 50 rows with reviewed_records and changed_labels per dataset group — give me the numeric distribution and a trailing mean series for reviewed_records using a window of 5.","exampleUseCases":[{"title":"ML annotation pipeline quality review","prompt":"I have 120 rows of daily label review data from our annotation team, each with a dataset group, reviewed_records, and changed_labels. Can you give me the numeric distribution and a trailing mean series for changed_labels using a window of 7 so I can see where our label correction rate is trending?"},{"title":"Spotting review volume spikes in a dataset group","prompt":"I've got 60 rows of label audit records across two dataset groups from the past two months. Run me the numeric distribution for reviewed_records with a trailing mean window of 3 so I can spot any unusual spikes in review volume."},{"title":"Comparing label change consistency across groups","prompt":"Here are 80 rows from our label QA sessions — each row has a date, dataset_group, reviewed_records, and changed_labels. Give me the full numeric distribution and trailing mean for changed_labels with a window of 10, so I can see if any groups have inconsistent label change rates."}],"resultDescription":"Returns two independent analytical reports for the supplied dataset: (1) a numeric distribution report showing statistical spread of the chosen field (reviewed_records or changed_labels), and (2) a trailing mean time series computed over the specified window, both based purely on the caller-supplied rows with no external lookups.","failureModes":["Fewer than 1 row supplied — minimum 1 row required","More than 200 rows supplied — maximum is 200","Invalid date format (must match YYYY-MM-DD pattern)","Window size smaller than 2 or larger than 200","Numeric field values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)","Missing required row fields (row_id, date, reviewed_records, changed_labels)","Invalid field enum value — must be 'reviewed_records' or 'changed_labels'"],"whenToPreferThis":"Choose this endpoint when you have your own label review tabular data and need two complementary analytical views — numeric distribution and trailing mean — computed locally without any external data access. It is well-suited for ML/data labeling teams auditing annotation throughput or label change rates across dataset groups over time. Prefer it over generic statistics APIs when your data fits the reviewed_records/changed_labels schema and you want both reports in a single low-cost call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:43.841Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-numeric-distribution-trailing-mean-series-fc2edbb4"}