{"uid":"cap_5BlZaeLySOenwbQAm1sA-","slug":"api-usage-record-quality-audit-124f7dd4","name":"API Usage Record Quality Audit","description":"API usage - Record quality audit: Record quality audit for API usage. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded record quality audit deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-analytics-api-usage-quality?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","endpoint","date","requests","latency_ms"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"endpoint":{"type":"string","default":"","maxLength":80},"requests":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"latency_ms":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","endpoint":"group-a","requests":10,"latency_ms":1},{"date":"2026-10-02","row_id":"row-2","endpoint":"group-b","requests":20,"latency_ms":2},{"date":"2026-10-03","row_id":"row-3","endpoint":"group-a","requests":15,"latency_ms":3},{"date":"2026-10-04","row_id":"row-4","endpoint":"group-b","requests":30,"latency_ms":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_JI1kuSmUb2tgpcs6noDbE","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":"Audits up to 200 API usage records for numeric and data quality issues, returning a bounded quality assessment report.","exampleAgentPrompt":"Can you run a data quality audit on these 4 API usage records — row-1 on 2026-10-01 for group-a with 10 requests and 1ms latency, row-2 on 2026-10-02 for group-b with 20 requests and 2ms latency, row-3 on 2026-10-03 for group-a with 15 requests and 3ms latency, and row-4 on 2026-10-04 for group-b with 30 requests and 4ms latency?","exampleUseCases":[{"title":"Pre-pipeline data validation for API logs","prompt":"Before I load this week's API usage data into our warehouse, can you audit these 50 records — each has a row_id, endpoint name, date, request count, and latency in milliseconds — and flag any quality issues or missing values?"},{"title":"Spot-checking endpoint latency data integrity","prompt":"I have 120 rows of API latency records for our payment-service endpoint across October. Can you run a quality audit on them to check for nulls, out-of-range values, or other data problems?"},{"title":"Automated quality gate for monitoring ingestion","prompt":"As part of our monitoring pipeline, audit these 200 API usage records for group-a and group-b endpoints dated 2026-09-01 through 2026-09-30, and tell me if any rows fail quality checks before we ingest them."}],"resultDescription":"A bounded quality audit deliverable containing data quality flags and assessments for each submitted API usage record, identifying numeric anomalies, missing values, and integrity issues across the supplied rows — processed locally without external enrichment.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, endpoint, date, requests, latency_ms) causes row-level rejection","Dates not matching YYYY-MM-DD format fail pattern validation","Empty rows array (minItems: 1 not met) returns an error","Extremely large or small numeric values near the ±1e12 boundary may trigger range flags"],"whenToPreferThis":"Choose this endpoint when you need a fast, local data-quality audit of API usage records (request counts and latency) before ingestion, reporting, or analysis — especially when you want no external data enrichment or forecasting, and your batch is 200 records or fewer. Prefer it over general-purpose data validation services when your records conform to the API usage schema (endpoint, date, requests, latency_ms).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T19:02:27.242Z","isFirstParty":false,"canonicalSlug":"api-usage-record-quality-audit-124f7dd4"}