{"uid":"cap_ktbpheQ-RGPPLxTd5xiuV","slug":"data-pipeline-runs-category-frequencies-9c740b63","name":"Data Pipeline Runs – Category Frequencies","description":"Data pipeline runs - Category frequencies: Category frequencies for Data pipeline runs. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded category frequencies report.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-pipeline-runs-category-counts?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","pipeline","date","processed_rows","rejected_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"pipeline":{"type":"string","default":"","maxLength":80},"rejected_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"processed_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","pipeline":"group-a","rejected_rows":1,"processed_rows":10},{"date":"2026-10-02","row_id":"row-2","pipeline":"group-b","rejected_rows":2,"processed_rows":20},{"date":"2026-10-03","row_id":"row-3","pipeline":"group-a","rejected_rows":3,"processed_rows":15},{"date":"2026-10-04","row_id":"row-4","pipeline":"group-b","rejected_rows":4,"processed_rows":30}],"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_oOtRcaq9UBwhARiRWotqv","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 category frequency counts for data pipeline runs across up to 200 records, returning a local descriptive analytics report with no enrichment or forecasting.","exampleAgentPrompt":"Can you give me a category frequency breakdown for these pipeline runs — I have about 50 records with fields like pipeline name, date, processed_rows, and rejected_rows, and I just want to see how often each pipeline appears?","exampleUseCases":[{"title":"Pipeline activity distribution audit","prompt":"I have 120 pipeline run records with row IDs, pipeline names, dates, and row counts — can you count how many times each pipeline appears so I can see which ones are running most frequently?"},{"title":"Rejected rows by pipeline category","prompt":"Here are 80 data pipeline run logs with processed and rejected row counts. Can you give me a category frequency summary showing how each pipeline is distributed across the dataset?"},{"title":"Daily run volume summary by pipeline","prompt":"I want to understand the distribution of runs across my pipelines for October. I have about 40 records with date, pipeline name, and row counts — can you tabulate the frequency of each pipeline category?"}],"resultDescription":"A bounded category frequencies report showing how often each pipeline category (by pipeline name) appears across the supplied records, presented as a local descriptive analytics summary with no external enrichment or forecasting. Covers up to 200 input records.","failureModes":["Fewer than 1 row supplied — minimum 1 record required","More than 200 rows supplied — maxItems limit exceeded","Missing required fields (row_id, pipeline, date, processed_rows, rejected_rows) in any record","Invalid date format — must match YYYY-MM-DD pattern","Numeric values for processed_rows or rejected_rows outside allowed range","Payment not included or insufficient — requires 0.01 USDC via x402"],"whenToPreferThis":"Choose this endpoint when you have up to 200 typed data pipeline run records and need a fast, local frequency count of pipeline categories — no external data enrichment, forecasting, or ML inference required. Ideal for lightweight descriptive analytics on batch pipeline logs where you just need to know how often each pipeline type appears.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T00:56:14.522Z","isFirstParty":false,"canonicalSlug":"data-pipeline-runs-category-frequencies-9c740b63"}