{"uid":"cap_LlEx-HSHWtv-OZEMesuFN","slug":"label-review-analytics-trailing-mean-base-100-series-6f46ea11","name":"Label Review Analytics — Trailing Mean & Base-100 Series","description":"Label review — Trailing mean series + Base-100 series: Trailing mean series + 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-12-147?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},"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_WyO6ljSFFzitHSKXArv11","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 trailing moving-average series and base-100 index series for label review records (reviewed_records and changed_labels) across up to 200 rows.","exampleAgentPrompt":"Run a trailing mean and base-100 index analysis on my label review data — I have 4 rows of reviewed_records across group-a and group-b from Oct 1–4 2026, using a window of 2 and base index 0, and I want the report for the reviewed_records field.","exampleUseCases":[{"title":"Annotation quality trend smoothing","prompt":"I have weekly label review data for two dataset groups over the past 3 months — can you compute a 4-period trailing mean series and a base-100 index starting from week 1 for the reviewed_records field, so I can see the smoothed trend and how throughput has grown relative to baseline?"},{"title":"Label correction rate analysis","prompt":"Take my changed_labels counts across 50 daily rows from my ML pipeline review logs, apply a 7-day rolling mean, and also normalize everything to a base-100 index anchored to day 0 so I can compare correction rates across dataset groups over time."},{"title":"Baseline comparison for annotation teams","prompt":"I want to compare two annotation teams' review output — here's 30 rows of reviewed_records and changed_labels by date and group. Can you run both the trailing mean with window 3 and the base-100 series anchored at row index 5, focusing on the changed_labels field?"}],"resultDescription":"Returns two independent analytical reports: (1) a trailing moving-average series over the specified window applied to the chosen field (reviewed_records or changed_labels), and (2) a base-100 index series anchored at the specified base_index row — both computed locally on the supplied data without external lookup or live data.","failureModes":["Fewer than 1 row supplied — minimum of 1 row required","More than 200 rows submitted — exceeds maxItems limit","window parameter larger than the number of supplied rows — trailing mean cannot be computed","base_index out of range for the supplied dataset","Invalid date format not matching YYYY-MM-DD pattern","Null values in reviewed_records or changed_labels may affect mean/index computation","Invalid field value not matching enum (reviewed_records or changed_labels)"],"whenToPreferThis":"Choose this endpoint when you need both a rolling/trailing mean time-series AND a base-100 normalization index on label review metrics (reviewed_records or changed_labels) in a single $0.01 call, without needing external data sources, predictions, or live lookups. Ideal for ML teams tracking annotation throughput or label correction rates over time using their own supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:29.552Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-trailing-mean-base-100-series-6f46ea11"}