{"uid":"cap_H28D-TwgbI9K_NbvSuNKp","slug":"cache-telemetry-analyzer-record-quality-audit-string-normalisation-9eb5dd65","name":"Cache Telemetry Analyzer — Record Quality Audit, String Normalisation & Base-100 Series","description":"Cache telemetry — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series 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-06-201?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_TmOYyPndOo-YtMegsKoS4","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 analytical reports on cache telemetry rows (hit_count, miss_count): a record quality audit, string normalisation, and a base-100 indexed series for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and base-100 series on my cache telemetry data? I have rows for components group-a and group-b from 2026-10-01 to 2026-10-04 with hit_count values 10, 20, 15, 30 and miss_count values 1, 2, 3, 4 — use hit_count as the field and start the base index at row 0.","exampleUseCases":[{"title":"Cache hit rate quality check","prompt":"I have 50 rows of daily cache telemetry for our API gateway — can you audit them for record quality issues, normalise the component name strings, and give me a base-100 series on hit_count starting from the first row?"},{"title":"Miss count trend indexing","prompt":"Run the three-report analysis on my cache telemetry records using miss_count as the field and set the base index to row 5 — I want to see quality flags, normalised strings, and the indexed trend."},{"title":"Multi-component cache data cleanup","prompt":"I've got telemetry data from several cache components across 200 dates — can you do a quality audit, string normalisation, and base-100 series on the hit_count column so I can compare performance across groups?"}],"resultDescription":"Three structured analytical reports for the supplied cache telemetry rows: (1) a record quality audit flagging missing, null, or malformed values; (2) string normalisation results for component and other string fields; (3) a base-100 indexed series for the selected numeric field (hit_count or miss_count) anchored at the specified base_index row. No external data or live lookups are included.","failureModes":["Fewer than 1 or more than 200 rows submitted — validation error","base_index out of range (0–199) relative to row count — error","Invalid date format (not YYYY-MM-DD) in any row — validation failure","Missing required fields (row_id, component, date, hit_count, miss_count) — schema rejection","Numeric values outside allowed range (±1,000,000,000,000) — validation error","Payment not completed — request blocked"],"whenToPreferThis":"Choose this endpoint when you need three combined analytical passes — quality audit, string normalisation, and base-100 series indexing — on cache telemetry data (hit_count/miss_count) in a single low-cost call. It is best suited for offline batch analysis of up to 200 rows of supplied data where no live lookups, predictions, or external enrichment are needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:39:35.200Z","isFirstParty":false,"canonicalSlug":"cache-telemetry-analyzer-record-quality-audit-string-normalisation-9eb5dd65"}