{"uid":"cap_i1Rnq-fflO9CuVTVSSU3h","slug":"schema-conformity-analyzer-string-normalisation-keyed-dataset-662f0cf0","name":"Schema Conformity Analyzer — String Normalisation & Keyed Dataset Comparison","description":"Schema conformity — String normalisation + Keyed dataset comparison: String normalisation + Keyed dataset comparison 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-02-036?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"valid_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"checked_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","valid_records":10,"checked_records":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","valid_records":20,"checked_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","valid_records":15,"checked_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","valid_records":30,"checked_records":4}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","valid_records","checked_records"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"checked_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","valid_records":17,"checked_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","valid_records":33,"checked_records":4}],"maxItems":200,"minItems":0}}},"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_i82QqLOZxxDF6bPhdvAyv","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 schema conformity records by performing string normalization and keyed dataset comparison across two supplied datasets (up to 200 rows each), returning two independent analytical reports.","exampleAgentPrompt":"Compare these two batches of schema conformity records for me — the primary set has rows for group-a and group-b across October 2026 with valid_records and checked_records counts, and the comparison set has slightly different numbers — run string normalization and a keyed dataset comparison and give me both reports.","exampleUseCases":[{"title":"ETL pipeline data quality audit","prompt":"I have two snapshots of my ETL pipeline's schema conformity data — the expected output and the actual output — each with row IDs, dataset groups, dates, and valid/checked record counts. Can you normalize the strings and do a keyed comparison to find where they diverge?"},{"title":"Cross-environment schema validation","prompt":"We ran our data pipeline in staging and production and got two sets of schema conformity records with valid_records and checked_records per group and date. Compare them side by side with string normalization and tell me which rows don't match."},{"title":"Weekly data quality conformity check","prompt":"Here are this week's schema conformity records from two separate ingestion jobs — same row IDs and dataset groups but different valid and checked record counts. Run string normalization and a keyed dataset comparison so I can see which groups have discrepancies."}],"resultDescription":"Two independent analytical reports: (1) a string normalization report covering the input datasets, and (2) a keyed dataset comparison report highlighting differences between the two supplied datasets, based on row_id, dataset_group, date, valid_records, and checked_records fields. No external lookups or live data are used — all analysis is performed on the supplied rows.","failureModes":["Exceeding 200 rows per dataset returns a validation error","Missing required fields (row_id, dataset_group, date, valid_records, checked_records) cause row-level rejection","Invalid date format (not YYYY-MM-DD) causes schema rejection","Numeric values outside ±1,000,000,000,000 are rejected","Empty rows array (minItems:1 violated) returns error","Payment failure via x402 protocol blocks the request"],"whenToPreferThis":"Choose this endpoint when you need to compare two keyed datasets of schema conformity records (valid vs checked record counts) and also want string normalization applied — particularly useful in data quality workflows where you want two independent analytical perspectives on the same data in a single $0.01 call. Best suited for batch sizes up to 200 rows with structured date, group, and record-count fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T12:48:35.565Z","isFirstParty":false,"canonicalSlug":"schema-conformity-analyzer-string-normalisation-keyed-dataset-662f0cf0"}