{"uid":"cap_ER_bj1viwGan77zcuD2zc","slug":"schema-conformity-exact-row-deduplication-numeric-distribution-51130e41","name":"Schema Conformity — Exact Row Deduplication + Numeric Distribution","description":"Schema conformity — Exact row deduplication + Numeric distribution: Exact row deduplication + Numeric distribution 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-02-039?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_V3oavh37g7nJg28gQx7o7","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":"Runs two analytical reports on schema conformity data (valid_records, checked_records): exact row deduplication and numeric distribution, processing up to 200 rows locally with no external lookups.","exampleAgentPrompt":"Deduplicate my schema conformity rows and give me a numeric distribution for the valid_records field — I have 4 rows: row-1 on 2026-10-01 group-a with valid_records=10 checked_records=1, row-2 on 2026-10-02 group-b with valid_records=20 checked_records=2, row-3 on 2026-10-03 group-a with valid_records=15 checked_records=3, and row-4 on 2026-10-04 group-b with valid_records=30 checked_records=4.","exampleUseCases":[{"title":"Deduplication check on daily conformity logs","prompt":"I have 50 daily schema conformity records with row_id, dataset_group, date, valid_records, and checked_records — can you deduplicate them and show me the numeric distribution of the valid_records field?"},{"title":"Numeric distribution of checked records","prompt":"Run both the deduplication and numeric distribution reports on my conformity dataset — here are 120 rows with group names like 'prod-pipeline' and 'staging-pipeline', and I want the distribution focused on the checked_records field."},{"title":"Data quality audit across dataset groups","prompt":"I need to audit my schema conformity data for duplicate rows and also see how valid_records values are distributed across my dataset groups — I have about 80 rows spanning from 2025-01-01 to 2025-03-31."}],"resultDescription":"Two independent analytical reports: (1) an exact row deduplication report identifying and removing duplicate rows from the submitted dataset, and (2) a numeric distribution report summarizing the statistical distribution (counts, ranges, frequencies) of the selected field (valid_records or checked_records) across all supplied rows. Both reports are computed locally from the provided data with no external lookups.","failureModes":["Input array is empty (minItems:1 violated) — request rejected","More than 200 rows submitted (maxItems:200 violated) — request rejected","Invalid date format (must match YYYY-MM-DD pattern) — validation error","row_id missing or empty (minLength:1 violated) — validation error","Field selector not one of 'valid_records' or 'checked_records' — enum validation error","numeric values outside ±1,000,000,000,000 range — validation error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 schema conformity records (with valid_records and checked_records fields) and need both exact duplicate detection and numeric distribution analytics in a single low-cost call ($0.01 USDC). Prefer it over general-purpose analytics tools when you specifically want combined deduplication + distribution on conformity-style data without any external lookups or live data access.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:41:12.763Z","isFirstParty":false,"canonicalSlug":"schema-conformity-exact-row-deduplication-numeric-distribution-51130e41"}