{"uid":"cap_ipYiu43AECS0ZVvIoJQYf","slug":"pennyrail-numeric-summary-statistics-0fd77895","name":"PennyRail Numeric Summary Statistics","description":"Machine-readable settlement service","url":"https://pennyrail.vercel.app/api/p/nano/number.stats--numeric-summary","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_7mowdGfPP868mhuSbZb2M","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 summary statistics (count, mean, median, min, max, std dev, etc.) for an array of numbers","exampleAgentPrompt":"Can you give me a numeric summary — mean, median, min, max, standard deviation — for this list of values: [4.2, 7.8, 3.1, 9.5, 6.0, 2.3, 8.7]?","exampleUseCases":[{"title":"Summarize sales figures quickly","prompt":"Here are last month's daily sales totals: [1200, 980, 1450, 870, 1100, 1320, 990, 1560]. Can you give me a full numeric summary — mean, median, min, max, and standard deviation?"},{"title":"Describe sensor reading distribution","prompt":"I have a batch of temperature sensor readings from our IoT devices: [22.1, 23.4, 21.8, 24.0, 22.7, 25.1, 20.9]. Can you compute descriptive stats so I know the typical range and spread?"},{"title":"Validate student score distribution","prompt":"We collected test scores for 10 students: [88, 72, 95, 61, 79, 84, 91, 67, 76, 83]. Give me a numeric summary so I can understand the average performance and how spread out the scores are."}],"resultDescription":"A JSON object containing descriptive numeric statistics computed over the input array, typically including count, mean, median, min, max, standard deviation, and possibly additional percentile or distribution metrics.","failureModes":["Empty or missing input array returns validation error","Non-numeric values in the array may cause computation errors or be silently skipped","Payment failure (402) if USDC balance insufficient","Malformed request body (missing 'input' field) returns 400","Very large arrays may time out or exceed memory limits on serverless infrastructure"],"whenToPreferThis":"Choose this endpoint when you need quick, pay-per-call descriptive statistics on a numeric array without setting up a data science environment. It is ideal for lightweight agent workflows that occasionally need to summarize a column of numbers, sensor readings, or financial figures without the overhead of a full analytics stack.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-16T00:47:51.344Z","isFirstParty":false}