{"uid":"cap_0hG19ENn4ytTduJ1KF6p9","slug":"simulation-caches-duplicate-key-report-category-frequencies-52886b23","name":"Simulation Caches — Duplicate Key Report + Category Frequencies","description":"Simulation caches — Duplicate key report + Category frequencies: Duplicate key report + Category frequencies for supplied simulation caches records (cache_gb, simulation_seconds). 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-creative-08-057?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","cache_gb","simulation_seconds"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"cache_gb":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"asset_group":{"type":"string","default":"","maxLength":80},"simulation_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","cache_gb":10,"asset_group":"group-a","simulation_seconds":1},{"date":"2026-10-02","row_id":"row-2","cache_gb":20,"asset_group":"group-b","simulation_seconds":2},{"date":"2026-10-03","row_id":"row-3","cache_gb":15,"asset_group":"group-a","simulation_seconds":3},{"date":"2026-10-04","row_id":"row-4","cache_gb":30,"asset_group":"group-b","simulation_seconds":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_klS8HTAh9IcZteXNzUipO","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":"Analyzes supplied simulation cache records to produce a duplicate key report and category frequency distribution across asset groups.","exampleAgentPrompt":"Can you check my simulation cache records for duplicate row IDs and also give me a frequency count by asset group? I have about 50 rows with fields like row_id, date, asset_group, cache_gb, and simulation_seconds.","exampleUseCases":[{"title":"Detecting duplicate cache entries","prompt":"I have a list of simulation cache records with row IDs, dates, asset groups, cache sizes in GB, and simulation seconds — can you run a duplicate key report on them to find any repeated row IDs?"},{"title":"Asset group frequency breakdown","prompt":"I want to know how many simulation cache records fall into each asset group category. Here are my rows with asset_group, cache_gb, and simulation_seconds fields — can you give me the frequency counts?"},{"title":"Data quality audit before pipeline run","prompt":"Before I feed these 120 simulation cache rows into my pipeline, can you check them for duplicate keys and show me the category frequencies by asset group so I can spot any data quality issues?"}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying any repeated row_id values across the supplied records, and (2) a category frequency table showing how often each asset_group value appears in the dataset. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Empty rows array returns an error (minItems: 1 required)","Rows exceeding 200 items are rejected (maxItems: 200)","Malformed date strings not matching YYYY-MM-DD pattern cause validation failure","Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) cause schema validation errors","row_id exceeding 80 characters is rejected"],"whenToPreferThis":"Choose this endpoint when you have up to 200 simulation cache records and need both a duplicate key detection report and category frequency counts in a single low-cost call ($0.01 USDC). It is ideal for data quality checks on simulation datasets with cache_gb and simulation_seconds metrics, where no external data enrichment or live lookup is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:48:48.313Z","isFirstParty":false,"canonicalSlug":"simulation-caches-duplicate-key-report-category-frequencies-52886b23"}