{"uid":"cap_76qfVQh4C6z8w41JQeU8C","slug":"schema-conformity-analytics-record-quality-audit-string-normalisation-e9995568","name":"Schema Conformity Analytics — Record Quality Audit, String Normalisation & Numeric Distribution","description":"Schema conformity — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution 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-02-193?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_jJJFz-rKFA5V2y9yUdlD6","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 (record quality audit, string normalisation, and numeric distribution) on up to 200 rows of schema conformity data containing valid_records and checked_records fields.","exampleAgentPrompt":"Can you run a full quality audit, string normalisation, and numeric distribution analysis on my schema conformity data? Here are 4 rows: row-1 on 2026-10-01 for group-a with valid_records=10 and checked_records=1, row-2 on 2026-10-02 for group-b with valid_records=20 and checked_records=2, row-3 on 2026-10-03 for group-a with valid_records=15 and checked_records=3, and row-4 on 2026-10-04 for group-b with valid_records=30 and checked_records=4 — analyse the valid_records field.","exampleUseCases":[{"title":"Daily schema validation health check","prompt":"I have 10 days of schema conformity records across two dataset groups — can you audit the record quality, normalise the dataset_group strings, and show me the numeric distribution for valid_records? Here's the data: row-1 on 2026-11-01 group-alpha valid_records=500 checked_records=520, row-2 on 2026-11-02 group-beta valid_records=430 checked_records=450, row-3 on 2026-11-03 group-alpha valid_records=490 checked_records=500."},{"title":"Numeric spread analysis for compliance audit","prompt":"We're preparing a compliance report and need to understand how checked_records is distributed across our dataset groups. Can you run the three analytics reports — quality audit, string normalisation, and numeric distribution — on these rows focusing on the checked_records field? Rows: row-A 2026-09-15 group-finance checked_records=1000 valid_records=980, row-B 2026-09-16 group-finance checked_records=850 valid_records=800, row-C 2026-09-17 group-ops checked_records=300 valid_records=295."},{"title":"Data pipeline quality monitoring","prompt":"After our ETL run last week I want to profile the output quality — please run a record quality audit, string normalisation, and numeric distribution report on valid_records for these 5 rows: row-1 2026-10-10 pipeline-A valid_records=1200 checked_records=1250, row-2 2026-10-11 pipeline-A valid_records=null checked_records=1100, row-3 2026-10-12 pipeline-B valid_records=900 checked_records=920, row-4 2026-10-13 pipeline-B valid_records=870 checked_records=880, row-5 2026-10-14 pipeline-A valid_records=1300 checked_records=1350."}],"resultDescription":"Three independent analytical reports generated from the supplied rows: (1) a record quality audit flagging missing values, format issues, and validity ratio anomalies; (2) a string normalisation report on text fields like dataset_group; and (3) a numeric distribution summary (min, max, mean, spread, etc.) for the selected field (valid_records or checked_records). All processing is local — no external lookups or predictions are made.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds maximum batch size","Row missing required fields (row_id, date, valid_records, checked_records) — validation error","Date field does not match YYYY-MM-DD pattern — schema rejection","field enum value not one of valid_records or checked_records — invalid input","Numeric values outside allowed range (±1 trillion) — schema rejection","Payment of 0.01 USDC not included or fails — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need three simultaneous local analytical reports (quality audit + string normalisation + numeric distribution) on schema conformity row data without any external lookups, predictions, or side effects. It is ideal for lightweight, offline data profiling of up to 200 validation records at a low fixed cost of $0.01 USDC for all three reports together. Prefer alternatives if you need live data fetching, ML-based predictions, or analysis of more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:57:57.989Z","isFirstParty":false,"canonicalSlug":"schema-conformity-analytics-record-quality-audit-string-normalisation-e9995568"}