{"uid":"cap_MOt2Fq5DrqGlcIbNfjEs4","slug":"schema-conformity-analytics-record-quality-audit-string-normalisation-7124e305","name":"Schema Conformity Analytics — Record Quality Audit, String Normalisation & Category Frequencies","description":"Schema conformity — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies 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-02-195?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_Cu_1Iljn0hyHqfB7YtoPw","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 bundled analytical reports (record quality audit, string normalisation, and category frequency breakdown) on up to 200 schema conformity rows containing valid_records and checked_records fields.","exampleAgentPrompt":"Can you run a quality audit, string normalisation, and category frequency analysis on my schema conformity records? I have 4 rows: row-1 for group-a on 2026-10-01 with 10 valid out of 1 checked, row-2 for group-b on 2026-10-02 with 20 valid out of 2 checked, row-3 for group-a on 2026-10-03 with 15 valid out of 3 checked, and row-4 for group-b on 2026-10-04 with 30 valid out of 4 checked.","exampleUseCases":[{"title":"Data pipeline conformity health check","prompt":"I have a week's worth of schema conformity logs across two dataset groups — can you audit the record quality, normalize the string fields, and show me the category frequencies? Here are the rows: row-1 group-alpha 2026-11-01 valid=500 checked=520, row-2 group-beta 2026-11-02 valid=310 checked=400, row-3 group-alpha 2026-11-03 valid=480 checked=490."},{"title":"ETL validation summary by team","prompt":"Our ETL pipeline produces daily valid/checked record counts by team. Run the three conformity reports — quality audit, string normalisation, and category frequencies — on these 5 rows: row-1 team-ingest 2026-09-10 valid=1000 checked=1020, row-2 team-transform 2026-09-10 valid=850 checked=900, row-3 team-load 2026-09-10 valid=990 checked=995, row-4 team-ingest 2026-09-11 valid=1100 checked=1150, row-5 team-transform 2026-09-11 valid=800 checked=820."},{"title":"Monthly dataset group frequency breakdown","prompt":"I want to understand how my dataset groups break down over the month. Please run the category frequency analysis, string normalisation, and record quality audit on these conformity records: row-1 group-north 2026-10-01 valid=200 checked=210, row-2 group-south 2026-10-01 valid=180 checked=195, row-3 group-east 2026-10-02 valid=220 checked=225, row-4 group-west 2026-10-02 valid=170 checked=200."}],"resultDescription":"Returns three independent analytical reports for the supplied schema conformity rows: (1) a record quality audit summarizing valid vs checked record ratios and flagging anomalies, (2) a string normalisation report cleaning and standardising text fields like dataset_group and row_id, and (3) a category frequency table showing how often each dataset_group appears across the supplied rows. All computed locally with no external lookups.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, date, valid_records, checked_records) causes row-level rejection","Dates not matching YYYY-MM-DD pattern fail schema validation","Numeric values outside ±1,000,000,000,000 are rejected","Empty rows array returns an error","Payment failure (insufficient USDC balance) blocks the request"],"whenToPreferThis":"Choose this endpoint when you need three bundled local analytical reports — quality audit, string normalisation, and category frequency — on schema conformity data in a single low-cost call ($0.01 USDC). It is best suited for datasets up to 200 rows where you want offline, deterministic analysis with no external API calls or predictions. Prefer alternatives if you need live data lookups, ML-based predictions, or processing more than 200 rows at once.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-14T00:36:58.476Z","isFirstParty":false,"canonicalSlug":"schema-conformity-analytics-record-quality-audit-string-normalisation-7124e305"}