{"uid":"cap_lyUvH9JFyHF9a-UPbNH2Z","slug":"cache-telemetry-analytics-record-quality-audit-string-normalisation-c6068fd1","name":"Cache Telemetry Analytics — Record Quality Audit, String Normalisation & Weighted Mean","description":"Cache telemetry — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean for supplied cache telemetry records (hit_count, miss_count). 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-software-06-205?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","component","date","hit_count","miss_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"component":{"type":"string","default":"","maxLength":80},"hit_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"miss_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","component":"group-a","hit_count":10,"miss_count":1},{"date":"2026-10-02","row_id":"row-2","component":"group-b","hit_count":20,"miss_count":2},{"date":"2026-10-03","row_id":"row-3","component":"group-a","hit_count":15,"miss_count":3},{"date":"2026-10-04","row_id":"row-4","component":"group-b","hit_count":30,"miss_count":4}],"maxItems":200,"minItems":1},"field":{"enum":["hit_count","miss_count"],"type":"string","default":"hit_count"}}},"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_p-QPlGG-Z4gaW1zi4l8bH","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 data quality, normalises strings, and computes a secondary-measure weighted mean for cache telemetry records (hit_count, miss_count) in a single batch call.","exampleAgentPrompt":"Can you audit the quality of these cache telemetry rows, normalise the component name strings, and compute a weighted mean on hit_count? I have up to 50 rows with fields: row_id, component, date, hit_count, and miss_count.","exampleUseCases":[{"title":"Cache hit rate quality audit","prompt":"I have 80 rows of daily cache telemetry — each row has a row_id, component name, date, hit_count, and miss_count. Can you run a record quality audit, normalise the component strings, and give me a weighted mean on hit_count so I can see which components are performing cleanly?"},{"title":"Detecting bad data in miss counts","prompt":"Some of our cache miss_count entries might have nulls or formatting issues. Can you audit those 120 telemetry rows for data quality, normalise the string fields, and compute the weighted mean on miss_count so we can flag problematic records?"},{"title":"Pre-reporting cache telemetry cleanup","prompt":"Before we send this cache telemetry to the dashboard, can you run quality audit, string normalisation, and weighted mean calculation on these 40 rows — using hit_count as the primary field — so we know the data is clean and summarised correctly?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging missing, malformed, or out-of-range values; (2) a string normalisation report for component and other text fields; (3) a secondary-measure weighted mean computed over the selected field (hit_count or miss_count) across the supplied rows. All computed locally with no external lookups.","failureModes":["Missing required fields (row_id, component, date, hit_count, miss_count) cause validation errors","Submitting more than 200 rows exceeds the row limit and will be rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Null or extreme numeric values outside ±1,000,000,000,000 are rejected","Selecting a field value outside the enum ['hit_count','miss_count'] causes an error","Empty rows array (minItems:1 violated) returns an error"],"whenToPreferThis":"Choose this endpoint when you need three complementary analytical operations — quality audit, string normalisation, and weighted mean — on cache telemetry data in a single low-cost call (≤200 rows, $0.01 USDC). It is ideal for pre-processing or validating cache hit/miss data before downstream reporting. Prefer this over separate single-purpose endpoints when you want all three reports in one round-trip without any live lookups or external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T00:43:39.233Z","isFirstParty":false,"canonicalSlug":"cache-telemetry-analytics-record-quality-audit-string-normalisation-c6068fd1"}