{"uid":"cap_FtHiwY6moOR4ZvWZnvE84","slug":"sindri-descriptive-statistics-summary-2eaa3189","name":"Sindri Descriptive Statistics Summary","description":"Descriptive statistics summary (mean, median, variance, standard deviation, and 25th/75th/90th percentiles via linear interpolation, matching R and numpy's default \"type=7\" method) over a numeric array of up to 10,000 elements.","url":"https://x402.outpimp.com/statisticsSummary","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"values":{"type":"array","description":"Non-empty array of numbers, up to 10,000 elements."}}},"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_ckSQ__m-Q3v0i9zhIcHEt","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":"Computes descriptive statistics (mean, median, variance, standard deviation, and 25th/75th/90th percentiles) over a numeric array of up to 10,000 elements using R/numpy-compatible interpolation.","exampleAgentPrompt":"Can you give me a full descriptive statistics summary — mean, median, variance, standard deviation, and the 25th, 75th, and 90th percentiles — for this list of numbers: [12, 45, 7, 89, 23, 56, 34, 78, 11, 67, 90, 3, 44, 55, 29]?","exampleUseCases":[{"title":"Analyze survey response scores","prompt":"I have a list of 200 survey satisfaction scores and I need the mean, median, standard deviation, and 25th/75th/90th percentiles so I can understand the distribution — here are all the values: [82, 91, 74, ...]"},{"title":"QA check on sensor readings","prompt":"Here are temperature readings from our sensor array over the last hour — can you compute descriptive stats including variance and percentiles so I can flag any anomalies? Values: [98.2, 97.8, 99.1, 101.3, 97.5, ...]"},{"title":"Finance team sales distribution summary","prompt":"Can you summarize these monthly sales figures with mean, median, variance, standard deviation, and the 25th, 75th, and 90th percentiles? The numbers are: [15200, 18700, 14300, 22000, 19500, 16800, 21000, 17400]"}],"resultDescription":"Returns a JSON object containing the mean, median, variance, standard deviation, and the 25th, 75th, and 90th percentiles computed via linear interpolation (matching R and numpy's type=7 default method) for the provided numeric array.","failureModes":["Empty array input returns an error since at least one value is required","Array exceeding 10,000 elements is rejected with a size limit error","Non-numeric values in the array cause a validation error","Malformed JSON body returns a 400 bad request","Payment not included or insufficient USDC triggers a 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you need R/numpy-compatible descriptive statistics (including percentiles via linear interpolation) computed in a single API call over a numeric array. It is ideal for agents that need reproducible, standard statistical summaries without spinning up a Python or R runtime. Prefer this over manual computation when working with arrays up to 10,000 elements and needing consistent cross-platform statistical outputs.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T18:42:31.883Z","isFirstParty":false}