{"uid":"cap_C-EtpW5QheXVGQNP1fAlP","slug":"schema-conformity-analytics-record-quality-audit-string-normalisation-6454ca1e","name":"Schema Conformity Analytics — Record Quality Audit, String Normalisation & Base-100 Series","description":"Schema conformity — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series 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-02-201?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":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_xBCHfb10RkmajjF7Ip1i7","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 analytical reports (record quality audit, string normalisation, and base-100 rebase series) on up to 200 rows of schema conformity data containing valid_records and checked_records fields.","exampleAgentPrompt":"Can you run the three conformity analytics reports — record quality audit, string normalisation, and base-100 series — on my schema conformity dataset? I have 4 rows: row-1 for group-a on 2026-10-01 with 10 valid and 1 checked, row-2 for group-b on 2026-10-02 with 20 valid and 2 checked, row-3 for group-a on 2026-10-03 with 15 valid and 3 checked, row-4 for group-b on 2026-10-04 with 30 valid and 4 checked — use valid_records as the field and row index 0 as the base.","exampleUseCases":[{"title":"Daily data pipeline quality review","prompt":"I have a week of schema conformity logs across two dataset groups — can you audit the record quality, normalise the string fields, and generate a base-100 series using valid_records starting from the first row? Here are 7 rows with row_id, dataset_group, date, valid_records, and checked_records."},{"title":"Benchmarking conformity across groups","prompt":"Run the record quality audit and base-100 rebase report on my 50-row conformity dataset using checked_records as the field and row index 5 as the base, so I can compare how each dataset group is trending relative to that reference point."},{"title":"Monthly schema validation summary","prompt":"I need a string normalisation and quality audit on our monthly schema conformity export — 120 rows with date, dataset_group, valid_records, and checked_records — can you generate all three reports and tell me where the data quality looks weakest?"}],"resultDescription":"Three independent analytical reports delivered together: (1) a record quality audit summarising completeness and anomalies in valid_records and checked_records, (2) a string normalisation report cleaning and standardising text fields like dataset_group, and (3) a base-100 index series rebasing the chosen numeric field relative to the specified base row — all computed locally without external lookups.","failureModes":["More than 200 rows submitted — endpoint rejects input exceeding maxItems limit","Missing required fields (row_id, date, valid_records, checked_records) causes validation error","Date not matching YYYY-MM-DD pattern results in schema rejection","base_index out of range (0–199) causes parameter error","Null values in numeric fields may affect base-100 calculation accuracy","Invalid field enum value (not valid_records or checked_records) returns error"],"whenToPreferThis":"Choose this endpoint when you need three combined conformity analytics reports in a single $0.01 call on up to 200 rows of schema validation data. It is ideal for batch auditing of dataset quality logs where valid_records and checked_records are the key metrics, and you want quality audit, string normalisation, and a base-100 trend series without any external data lookups or live predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-14T00:35:36.773Z","isFirstParty":false,"canonicalSlug":"schema-conformity-analytics-record-quality-audit-string-normalisation-6454ca1e"}