{"uid":"cap_r-OqorSotGFm3YZypidgl","slug":"transformation-throughput-string-normalisation-category-frequencies-13749311","name":"Transformation Throughput — String Normalisation + Category Frequencies","description":"Transformation throughput — String normalisation + Category frequencies: String normalisation + Category frequencies for supplied transformation throughput records (processed_rows, duration_seconds). 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-13-024?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","processed_rows","duration_seconds"],"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},"processed_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"duration_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","processed_rows":10,"duration_seconds":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","processed_rows":20,"duration_seconds":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","processed_rows":15,"duration_seconds":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","processed_rows":30,"duration_seconds":4}],"maxItems":200,"minItems":1}}},"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_wkMfVsonR4ekc0atunUUD","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":"Analyzes transformation throughput records by normalizing string fields and computing category frequency distributions across up to 200 rows in a single call.","exampleAgentPrompt":"I have a list of up to 200 ETL throughput records — each with a row ID, dataset group, date, processed row count, and duration in seconds — can you run the string normalization and category frequency reports on them for me?","exampleUseCases":[{"title":"ETL pipeline group distribution audit","prompt":"Here are my last 150 transformation throughput records from October, each with a row ID, dataset group like 'group-a' or 'group-b', date, processed rows, and duration in seconds — can you give me the string normalization and category frequency breakdown across all of them?"},{"title":"Data quality check on pipeline metrics","prompt":"I've got 80 rows of batch processing logs with dataset_group labels, processed row counts, and durations — can you normalize the string fields and tell me how frequently each category appears across those records?"},{"title":"Summarizing throughput patterns by group","prompt":"Can you analyze these 200 transformation throughput entries — they each have a row_id, date, dataset_group, processed_rows, and duration_seconds — and produce both the string normalization report and the category frequency summary?"}],"resultDescription":"Returns two independent analytical reports for the submitted rows: (1) a string normalization report that standardizes and cleans the string fields (e.g. dataset_group), and (2) a category frequency report that counts how often each distinct category value appears across the dataset. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) causes row-level rejection","Invalid date format (not YYYY-MM-DD) triggers a pattern validation error","Numeric fields outside the allowed range cause schema rejection","Empty rows array returns an error due to minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you need both string normalization and category frequency analysis on transformation throughput records in a single low-cost call. It is ideal for ETL monitoring, pipeline auditing, and data quality workflows where you already have the data locally and do not need live lookups, predictions, or external enrichment. Best suited for batch sizes up to 200 rows processed together.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:16.824Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-string-normalisation-category-frequencies-13749311"}