{"uid":"cap_7jX2zaIDMexikf_I_aQBx","slug":"schema-conformity-duplicate-key-report-category-frequencies-6b90b40b","name":"Schema Conformity — Duplicate Key Report + Category Frequencies","description":"Schema conformity — Duplicate key report + Category frequencies: Duplicate key report + Category frequencies 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-02-057?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}}},"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_7MS3mAwwQItegbUrSVqGj","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 up to 200 schema conformity records to produce two reports: a duplicate key report and category frequency breakdown for valid_records and checked_records fields.","exampleAgentPrompt":"Analyze these schema conformity records for me — I have up to 200 rows each with a row_id, dataset_group, date, valid_records, and checked_records — and give me both a duplicate key report and category frequency breakdown for the dataset groups.","exampleUseCases":[{"title":"Duplicate key audit for validation pipeline","prompt":"I have a batch of 150 schema conformity records from our validation pipeline, each with a row_id, dataset_group, date, valid_records, and checked_records. Can you run a duplicate key report to find any repeated row_ids and also show me how frequently each dataset_group appears?"},{"title":"Category frequency analysis for multi-group dataset","prompt":"We have conformity tracking data across four dataset groups logged daily for the past month — about 120 rows total with valid_records and checked_records counts. Can you produce category frequency counts for each group and flag any duplicate row IDs?"},{"title":"Data quality spot-check before pipeline merge","prompt":"Before we merge our schema conformity logs, I want to check for duplicate keys and see the breakdown of how many records fall into each dataset_group category. Here are 80 rows with row_id, dataset_group, date, valid_records, and checked_records — can you run both reports?"}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying any row_id values that appear more than once across the submitted rows, and (2) a category frequency table showing how often each dataset_group value appears, along with aggregate counts related to valid_records and checked_records. Results cover up to 200 input rows with no external lookups performed.","failureModes":["Input array exceeds 200 rows — request 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 validation failure","Numeric values outside allowed range (-1T to +1T) rejected","Empty rows array returns no results","Malformed JSON body causes parse error"],"whenToPreferThis":"Choose this endpoint when you have structured schema conformity records with valid_records and checked_records fields and need both a duplicate key audit and a category frequency breakdown in a single call. It is purpose-built for local analytical computation on supplied data — no external data sources, predictions, or live lookups are involved. Prefer it over general analytics tools when you need these two specific reports together cost-effectively for batches up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:41:04.572Z","isFirstParty":false,"canonicalSlug":"schema-conformity-duplicate-key-report-category-frequencies-6b90b40b"}