{"uid":"cap_C2_tyujCrjMv0WwrL8YMW","slug":"signaldesk-ai-z-score-calculator-71729a87","name":"SignalDesk AI Z-Score Calculator","description":"Evidence-backed autonomous AI jobs and paid data tools. Queue/D1/cron run outside the chat; free quotas and bounded execution apply.","url":"https://x402-agent.kariguetoazul.workers.dev/api/stats/z-scores?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"values":{"type":"array","items":{"type":"number","maximum":1000000000000000,"minimum":-1000000000000000},"maxItems":1000,"minItems":1,"description":"Up to 1000 finite observations."}}},"responseSchema":{"type":"json","example":{"mean":2,"z_scores":[-1.224744871391589,0,1.224744871391589],"standard_deviation":0.816496580927726}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.001","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":"$0.001/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.001","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.001","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm__4kmAJDHIaKfF-mZj3zym","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.001","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Computes z-scores, mean, and standard deviation for a numeric dataset of up to 1000 observations","exampleAgentPrompt":"Can you calculate the z-scores for these numbers: [12, 15, 14, 10, 18, 22, 11]? I want to know which values are statistical outliers.","exampleUseCases":[{"title":"Outlier detection in sensor readings","prompt":"I have these temperature readings from my IoT sensors: [98.6, 99.1, 98.8, 104.3, 98.5, 98.9, 97.2] — can you compute z-scores so I can flag any anomalies?"},{"title":"Student grade normalization","prompt":"Normalize these exam scores so I know how each student performed relative to the class: [72, 85, 90, 61, 78, 95, 55, 88, 74, 82]. Give me z-scores for each."},{"title":"Financial return analysis","prompt":"Here are daily returns for a stock over the past two weeks: [0.5, -0.3, 1.2, 0.8, -1.5, 2.3, 0.1, -0.7, 0.4, 1.1] — compute z-scores so I can see which days had unusually high or low returns."}],"resultDescription":"Returns a JSON object containing the array of z-scores (one per input value), the mean of the input dataset, and the standard deviation. Z-scores indicate how many standard deviations each observation is from the mean.","failureModes":["Empty array or missing 'values' field returns a validation error","Array exceeding 1000 items is rejected","Non-finite numbers (Infinity, NaN) are rejected due to min/max bounds","Single-element arrays will have a standard deviation of 0, causing division-by-zero behavior","Payment failure or insufficient USDC balance blocks execution"],"whenToPreferThis":"Choose this endpoint when you need fast, serverless z-score computation without standing up your own statistical infrastructure. It is ideal for anomaly detection, outlier flagging, or data normalization pipelines where you have up to 1000 observations and want a pay-per-call model at $0.001 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-13T00:41:55.870Z","isFirstParty":false,"canonicalSlug":"signaldesk-ai-z-score-calculator-71729a87"}