{"uid":"cap_Bqa86yomLf0SPpqxwjq44","slug":"schema-conformity-analytics-record-quality-audit-string-normalisation-68c3e2ee","name":"Schema Conformity Analytics — Record Quality Audit, String Normalisation & Two-Measure Correlation","description":"Schema conformity — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation for supplied schema conformity records (valid_records, checked_records). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-204?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_AXiSOvrjzDKOukwnxct8B","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 three local analytical reports on schema conformity data: a record quality audit, string normalisation, and a two-measure correlation between valid_records and checked_records, for up to 200 rows.","exampleAgentPrompt":"Can you run the three-part schema conformity analysis on my records — quality audit, string normalisation, and correlation between valid_records and checked_records — for these rows: row-1 on 2026-10-01 in group-a with 10 valid and 1 checked, row-2 on 2026-10-02 in group-b with 20 valid and 2 checked?","exampleUseCases":[{"title":"Daily data pipeline quality check","prompt":"I've got a batch of 50 schema conformity records from our daily pipeline across two dataset groups — can you run the record quality audit, string normalisation, and correlation between valid_records and checked_records on all of them?"},{"title":"Comparing validation rates across teams","prompt":"We have records from three different dataset groups over the past month — can you analyse the quality, normalise the string fields, and tell me how valid_records and checked_records correlate across all those groups?"},{"title":"Spot-checking a small dataset for schema issues","prompt":"I have 4 rows of conformity data — group-a and group-b entries from early October 2026 — can you do the three-report audit: quality check, string normalisation, and correlation between the valid and checked record counts?"}],"resultDescription":"Returns three independent analytical reports generated from the supplied rows: (1) a record quality audit evaluating the completeness and validity of the input records, (2) a string normalisation report on text fields such as dataset_group, and (3) a two-measure correlation analysis between valid_records and checked_records across all supplied rows.","failureModes":["Exceeding 200 rows returns an error — batch must be split","Missing required fields (row_id, date, valid_records, checked_records) cause row-level validation failures","Date strings not matching YYYY-MM-DD pattern are rejected","null values in valid_records or checked_records may affect correlation output","Empty rows array is rejected (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you have up to 200 schema conformity records with valid_records and checked_records fields and need all three analyses (quality audit, string normalisation, and two-measure correlation) in a single low-cost call without any external data lookups or live predictions. It is especially suited for automated data pipeline monitoring, batch quality checks, and self-contained local analytical reporting where no external enrichment is required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-14T00:36:59.118Z","isFirstParty":false,"canonicalSlug":"schema-conformity-analytics-record-quality-audit-string-normalisation-68c3e2ee"}