{"uid":"cap_CGy81woWsCczLnIKoN3Bx","slug":"pipeline-durations-string-normalisation-category-frequencies-e038cb44","name":"Pipeline Durations — String Normalisation + Category Frequencies","description":"Pipeline durations — String normalisation + Category frequencies: String normalisation + Category frequencies for supplied pipeline durations records (run_seconds, processed_rows). 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-05-024?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","run_seconds","processed_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"run_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"processed_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","run_seconds":10,"dataset_group":"group-a","processed_rows":1},{"date":"2026-10-02","row_id":"row-2","run_seconds":20,"dataset_group":"group-b","processed_rows":2},{"date":"2026-10-03","row_id":"row-3","run_seconds":15,"dataset_group":"group-a","processed_rows":3},{"date":"2026-10-04","row_id":"row-4","run_seconds":30,"dataset_group":"group-b","processed_rows":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_SRJVeM_lmdg3ia79xGy8n","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":"Performs string normalisation and category frequency analysis on up to 200 pipeline duration records (run_seconds, processed_rows), returning two independent analytical reports.","exampleAgentPrompt":"I have pipeline duration records with run_seconds and processed_rows — can you run string normalisation and category frequency analysis on them? Here are my rows: row-1 on 2026-10-01 in group-a took 10 seconds and processed 1 row, row-2 on 2026-10-02 in group-b took 20 seconds and processed 2 rows.","exampleUseCases":[{"title":"ETL pipeline group frequency audit","prompt":"I've got 50 pipeline run records with dataset_group labels and run_seconds — can you normalize the group name strings and tell me the frequency breakdown of each group across all my runs?"},{"title":"Nightly pipeline duration categorisation","prompt":"Here are my pipeline duration logs for the past week — each row has a row_id, date, dataset_group, run_seconds, and processed_rows. Run string normalisation on the group labels and give me a category frequency report so I can see which groups ran most."},{"title":"Data quality check on pipeline records","prompt":"I need to clean up dataset_group strings in my pipeline duration data and count how many times each category appears. I have about 120 rows with run_seconds and processed_rows — can you produce both the string normalisation and frequency reports?"}],"resultDescription":"Two independent analytical reports: (1) a string normalisation report on the dataset_group and related string fields across the supplied rows, and (2) a category frequency report showing how often each distinct category value appears within the up to 200 pipeline duration records.","failureModes":["Input array is empty (minItems: 1 violation)","More than 200 rows submitted (maxItems exceeded)","Missing required fields (row_id, dataset_group, date, run_seconds, or processed_rows)","Date field does not match YYYY-MM-DD pattern","row_id is blank or exceeds 80 characters","Payment not received or insufficient USDC balance"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and category frequency analysis on pipeline duration data (run_seconds, processed_rows) in a single $0.01 call, without needing live lookups, predictions, or external integrations. It is ideal for offline or batch analytical tasks on up to 200 rows of ETL/pipeline execution logs where two bundled reports provide better value than separate single-purpose analytics calls.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T06:55:11.347Z","isFirstParty":false,"canonicalSlug":"pipeline-durations-string-normalisation-category-frequencies-e038cb44"}