{"uid":"cap_oT8xpmKXPJKTUasn36A9y","slug":"pennyrail-numeric-statistics-eb8fccf1","name":"PennyRail Numeric Statistics","description":"Machine-readable settlement service","url":"https://pennyrail.vercel.app/api/p/nano/number.stats--numeric-statistics","method":"POST","headers":{},"bodySchema":{"type":"object","required":["input"],"properties":{"input":{"type":"array"}}},"responseSchema":{"type":"object","additionalProperties":true},"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_kyKZ4e1RIHUnHpqs96UU9","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 descriptive numeric statistics (e.g. mean, median, std dev, min, max) over an array of numbers, returning a statistics summary object.","exampleAgentPrompt":"Can you compute the numeric statistics — mean, median, standard deviation, min, and max — for this list of values: [12, 45, 7, 89, 34, 23, 56, 78, 3, 61]?","exampleUseCases":[{"title":"Sales figure summary statistics","prompt":"I have last month's daily sales figures — [1200, 980, 1450, 870, 1100, 1340, 760, 1520, 930, 1050] — can you compute the mean, median, min, max, and standard deviation for me?"},{"title":"Student score distribution analysis","prompt":"Here are the test scores for my class: [72, 88, 55, 91, 67, 80, 74, 95, 61, 83, 77, 69]. Calculate descriptive statistics so I can understand the distribution."},{"title":"Sensor reading anomaly baseline","prompt":"I've got a batch of temperature sensor readings — [22.1, 21.8, 23.0, 22.5, 21.9, 22.7, 44.3, 22.2, 21.6] — give me the numeric stats so I can spot the outlier against the baseline."}],"resultDescription":"Returns a JSON object containing descriptive numeric statistics computed over the input array, typically including fields such as count, sum, mean, median, mode, standard deviation, variance, min, max, and possibly percentiles or range.","failureModes":["Empty array input returns error or undefined statistics","Non-numeric values in the array cause computation errors or are silently ignored","Very large arrays may hit size or timeout limits","Malformed input (non-array) returns 400-level error","Payment failure (x402) blocks the request before processing"],"whenToPreferThis":"Choose this endpoint when you need quick, pay-per-call descriptive statistics over a numeric array without setting up a full data pipeline or library. Ideal for agents that occasionally need statistical summaries on arbitrary numeric datasets without a persistent compute environment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T07:10:38.284Z","isFirstParty":false}