{"uid":"cap_gODF3j0Nq6Z-LBKwI9tqX","slug":"label-review-string-normalisation-base-100-series-b8759b95","name":"Label Review — String Normalisation + Base-100 Series","description":"Label review — String normalisation + Base-100 series: String normalisation + 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-12-030?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_V7K0bti_wykEhYMCdtRAN","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":"Runs two analytical reports on label review data: string normalisation of text fields and a base-100 indexed series for a chosen numeric measure, across up to 200 rows.","exampleAgentPrompt":"Can you run the string normalisation and base-100 series reports on my label review data? I have 4 rows: row-1 on 2026-10-01 group-a with 10 reviewed_records and 1 changed_labels, row-2 on 2026-10-02 group-b with 20 reviewed_records and 2 changed_labels, row-3 on 2026-10-03 group-a with 15 reviewed_records and 3 changed_labels, row-4 on 2026-10-04 group-b with 30 reviewed_records and 4 changed_labels — use reviewed_records as the measure and index from row 0.","exampleUseCases":[{"title":"Track label change rate trend","prompt":"I have a week of label review logs — 5 rows with dates, dataset groups, reviewed_records and changed_labels counts. Can you normalise the string fields and give me a base-100 series for changed_labels starting from the first row so I can see how the label change rate has evolved?"},{"title":"Compare dataset group review volumes","prompt":"I've got label review records for two dataset groups over the past month — up to 50 rows with dates and reviewed_records counts. Run the string normalisation and base-100 index report using reviewed_records as the field, indexed from row 0, so I can compare group-a and group-b volume trends."},{"title":"QA check on annotation pipeline output","prompt":"Here are 30 rows from our annotation pipeline's label review export — each has a row_id, date, dataset_group, reviewed_records and changed_labels. Can you run both the string normalisation report and the base-100 series on reviewed_records starting at index 0, so I can QA the pipeline output?"}],"resultDescription":"Returns two analytical reports derived solely from the supplied data: (1) a string normalisation report cleaning and standardising text fields (dataset_group etc.), and (2) a base-100 indexed numeric series for the chosen field (reviewed_records or changed_labels), anchored to the specified base_index row. No external lookups or predictions are made.","failureModes":["Fewer than 1 or more than 200 rows submitted — request rejected","Invalid date format (not YYYY-MM-DD) — validation error","base_index out of range (0–199) — error returned","Numeric fields outside allowed range (±1 trillion) — validation failure","Missing required fields (row_id, reviewed_records, changed_labels, date) — schema error"],"whenToPreferThis":"Choose this endpoint when you have label review tabular data (up to 200 rows) and need two lightweight, offline analytical reports — string normalisation of categorical/text fields and a base-100 indexed numeric trend series — without needing live data lookups, ML predictions, or external integrations. It is cost-effective at $0.01 for both reports together and is ideal for QA pipelines, annotation monitoring dashboards, or exploratory analysis of label review exports.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-03T06:41:38.299Z","isFirstParty":false,"canonicalSlug":"label-review-string-normalisation-base-100-series-b8759b95"}