{"uid":"cap_nTD_f6ThafT3Kp70K0daA","slug":"schema-conformity-analytics-category-frequencies-daily-sum-series-f4f869a7","name":"Schema Conformity Analytics: Category Frequencies + Daily Sum Series","description":"Schema conformity — Category frequencies + Daily sum series: Category frequencies + Daily sum series for supplied schema conformity records (valid_records, checked_records). 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-02-102?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","valid_records","checked_records"],"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},"valid_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"checked_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","valid_records":10,"checked_records":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","valid_records":20,"checked_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","valid_records":15,"checked_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","valid_records":30,"checked_records":4}],"maxItems":200,"minItems":1},"field":{"enum":["valid_records","checked_records"],"type":"string","default":"valid_records"}}},"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_RRuasC7theSnvW9LsdAUB","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":"Generates two analytical reports—category frequencies and daily sum series—from supplied schema conformity records (valid_records, checked_records) for up to 200 rows.","exampleAgentPrompt":"Analyze these schema conformity records for me — I have 4 rows with dataset_group values like 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and I want both the category frequency breakdown and the daily sum series for the valid_records field.","exampleUseCases":[{"title":"Compliance team data quality audit","prompt":"I have 150 rows of schema conformity logs with dataset_group, date, valid_records, and checked_records fields. Can you give me the category frequency report and the daily sum series for valid_records so I can see which groups are passing the most validation checks?"},{"title":"Daily pipeline conformity monitoring","prompt":"Run the category frequencies and daily sum series reports on these schema conformity records — 50 rows covering the last month — and use checked_records as the metric field so I can track how many records were checked each day by group."},{"title":"Comparing two dataset groups over time","prompt":"I want to compare group-a and group-b across 30 days of schema conformity data. Can you generate the category frequency breakdown and the day-by-day sum series for valid_records so I can see which group consistently scores higher?"}],"resultDescription":"Returns two analytical reports: (1) a category frequencies table showing the distribution of records across dataset_group values, and (2) a daily sum series aggregating the selected metric (valid_records or checked_records) by date — both computed locally from the supplied row data with no external lookups.","failureModes":["More than 200 rows supplied — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, valid_records, checked_records) cause row-level errors","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Null values in valid_records or checked_records may affect sum accuracy","field enum value not in ['valid_records','checked_records'] causes a validation error"],"whenToPreferThis":"Choose this endpoint when you have tabular schema conformity data (up to 200 rows) and need both a categorical frequency breakdown and a daily aggregation time series in a single low-cost call. It is ideal for offline or batch analytical summaries of validation pipeline outputs where no live data lookup or external enrichment is required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:41:06.539Z","isFirstParty":false,"canonicalSlug":"schema-conformity-analytics-category-frequencies-daily-sum-series-f4f869a7"}