{"uid":"cap_jKaN4xOObFK1k513xw3U8","slug":"cache-telemetry-string-normalisation-numeric-row-ordering-72ccdacf","name":"Cache Telemetry — String Normalisation + Numeric Row Ordering","description":"Cache telemetry — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied cache telemetry records (hit_count, miss_count). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-software-06-025?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_owVyfR_2VWw9pvtcFjmB4","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":"Normalises component/date strings and orders rows by numeric hit_count or miss_count for up to 200 cache telemetry records, returning 2 analytical reports.","exampleAgentPrompt":"Can you normalise the component names and sort these cache telemetry rows by hit_count? I have 4 records: row-1, group-a, 2026-10-01, hit_count=10, miss_count=1; row-2, group-b, 2026-10-02, hit_count=20, miss_count=2; row-3, group-a, 2026-10-03, hit_count=15, miss_count=3; row-4, group-b, 2026-10-04, hit_count=30, miss_count=4.","exampleUseCases":[{"title":"Cache hit ranking for performance review","prompt":"I have 50 cache telemetry records with component names and daily hit counts — can you normalise the component strings and rank the rows by hit_count so I can see which components are performing best?"},{"title":"Miss count ordering for debugging","prompt":"Sort my cache telemetry dataset by miss_count so I can identify which components are missing the most, and clean up the component name formatting while you're at it. I'll paste in up to 100 rows."},{"title":"Weekly cache report normalisation","prompt":"Take these cache monitoring records from last week — up to 200 rows with hit_count and miss_count per component per day — normalise the string fields and order everything by hit_count for my weekly performance summary."}],"resultDescription":"Two analytical reports derived from the supplied cache telemetry rows: (1) a string normalisation report cleaning component and date string fields, and (2) a numeric row ordering report ranking rows by the selected field (hit_count or miss_count). No external data is fetched; all analysis is performed locally on the submitted rows.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, component, date, hit_count, miss_count) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — validation error","Empty rows array — minimum 1 item required"],"whenToPreferThis":"Choose this endpoint when you have up to 200 cache telemetry records (with hit_count and miss_count fields) and need both string normalisation of component labels and numeric ordering of rows in a single $0.01 call. It is purpose-built for cache performance data and delivers two bundled reports without any live data lookup or external dependency.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:49:52.937Z","isFirstParty":false,"canonicalSlug":"cache-telemetry-string-normalisation-numeric-row-ordering-72ccdacf"}