{"uid":"cap_O71iqz1WmWoo1TfnsulWY","slug":"sindri-descriptive-statistics-summary-2d5ad1f3","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://ppu43fkyhimq5fiqpmo42eh5ri0yypid.lambda-url.us-east-1.on.aws/statisticsSummary?utm_source=zero.xyz","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_C6D26cUXDDmYSNHpcZY1H","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: [12.5, 7.3, 9.8, 15.2, 6.4, 11.0, 8.7, 14.3, 10.1, 9.5]?","exampleUseCases":[{"title":"Analyzing survey response scores","prompt":"I have 500 numeric survey responses rating our product from 1 to 10 — can you compute the mean, median, standard deviation, and 25th, 75th, and 90th percentiles for me?"},{"title":"QA check on sensor readings","prompt":"Here are the temperature readings from our IoT sensors over the last 24 hours. Can you summarize the distribution with mean, median, variance, and percentiles so I can spot any anomalies?"},{"title":"Benchmarking algorithm latency","prompt":"I've collected these API response times in milliseconds across 1,000 test runs. What are the descriptive statistics — especially the 90th percentile latency, median, mean, and standard deviation?"}],"resultDescription":"Returns a JSON object containing the mean, median, variance, standard deviation, and the 25th, 75th, and 90th percentiles for the provided numeric array, computed using linear interpolation (matching R and numpy's default type=7 method).","failureModes":["Empty array provided — endpoint requires a non-empty numeric array","Array exceeds 10,000 element limit — request rejected","Non-numeric values in array — schema validation error","Malformed request body — missing 'values' field returns error","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need a quick, reliable, R/numpy-compatible statistical summary of a numeric dataset without standing up your own compute. Ideal when you need all standard descriptive statistics (mean, median, variance, std dev, and three percentiles) in a single call. Prefer over manual computation when working in environments without statistical libraries or when reproducibility against R/numpy defaults is important.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-02T18:37:17.150Z","isFirstParty":false,"canonicalSlug":"sindri-descriptive-statistics-summary-2d5ad1f3"}