{"uid":"cap_Jg8NnfQ9wilISsK_71iFF","slug":"data-validation-results-category-frequencies-093b60ce","name":"Data Validation Results - Category Frequencies","description":"Data validation results - Category frequencies: Category frequencies for Data validation results. 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-validation-results-category-counts?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","rule","date","checked_records","failed_records"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"rule":{"type":"string","default":"","maxLength":80},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"failed_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"checked_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","rule":"group-a","row_id":"row-1","failed_records":1,"checked_records":10},{"date":"2026-10-02","rule":"group-b","row_id":"row-2","failed_records":2,"checked_records":20},{"date":"2026-10-03","rule":"group-a","row_id":"row-3","failed_records":3,"checked_records":15},{"date":"2026-10-04","rule":"group-b","row_id":"row-4","failed_records":4,"checked_records":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_iBOMib386G2USpAjNjOHP","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 (rule) frequency counts from a batch of data validation records, returning a descriptive breakdown of how often each rule/category appears across supplied validation results.","exampleAgentPrompt":"Can you give me a category frequency breakdown of these validation results — I have up to 200 records, each with a row_id, a rule name like 'null-check' or 'range-check', a date, and counts for checked and failed records, and I want to know how often each rule category appears overall?","exampleUseCases":[{"title":"Data pipeline rule audit","prompt":"I have 150 validation log entries from my ETL pipeline — each one has a row ID, a rule name, a date, and how many records were checked vs failed. Can you count up how many times each rule category appears so I can see which checks are firing most often?"},{"title":"Weekly data quality review","prompt":"Here are this week's data validation results across our warehouse tables — about 80 records with rule names and record counts. Can you produce a frequency table showing how many entries belong to each rule category?"},{"title":"Detecting dominant failure rules","prompt":"I've collected validation results from our last data quality run — 200 rows each tagged with a rule like 'duplicate-check' or 'format-check'. Can you tally up the category frequencies so I can see which rules are most represented in the results?"}],"resultDescription":"Returns a bounded category frequencies report listing how many times each unique rule/category label appears across the supplied validation records (up to 200 rows). The output is a local descriptive analytics summary — no enrichment, forecasting, or external data is added.","failureModes":["Empty rows array (minItems:1 violated) returns validation error","More than 200 rows submitted (maxItems:200 violated) returns rejection","Malformed date strings not matching YYYY-MM-DD pattern cause schema validation failure","Missing required fields (row_id, rule, date, checked_records, failed_records) cause request rejection","Numeric fields outside allowed range cause validation error","Payment of 0.01 USDC not completed returns 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need a fast, cheap ($0.01 USDC) local frequency count of validation rule categories from a small batch of validation records (up to 200 rows) without any external enrichment. It is ideal for summarizing data quality audit logs, identifying dominant validation rules, or generating a descriptive category breakdown as part of a larger data governance workflow. Prefer alternatives if you need correlation analysis, outlier detection, elasticity measures, or forecasting.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T00:52:28.021Z","isFirstParty":false,"canonicalSlug":"data-validation-results-category-frequencies-093b60ce"}