{"uid":"cap_vbmlNgg2skCemfMNTLEEJ","slug":"forgemesh-descriptive-statistics-api-63180d84","name":"ForgeMesh Descriptive Statistics API","description":"Descriptive statistics API: feed up to 100,000 numbers and get count, sum, mean, median, mode, sample standard deviation, variance, min/max/range, percentiles (p25/p50/p75/p90/p99), and IQR-flagged outliers. Deterministic and auditable — cheaper than burning reasoning tokens, zero arithmetic-hallucination risk, and the result can be cited. For data QA, monitoring, and analysis agents.","url":"https://x402.forgemesh.io/math-statistics","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"numbers":{"type":"array","items":{"type":"number"},"description":"array or comma-separated string"}}},"responseSchema":{"type":"json","example":{"mean":27.166667,"median":13.5,"outliers_iqr":[98],"std_dev_sample":34.749604}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.002","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":"$0.002/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_R7lvd5HUKrPINf1pgH95C","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.002","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Computes a full suite of descriptive statistics (count, mean, median, mode, std dev, variance, percentiles, outliers, and more) for an array of up to 100,000 numbers","exampleAgentPrompt":"Can you run full descriptive stats on these numbers — mean, median, mode, standard deviation, percentiles, and flag any outliers? Here's the dataset: [12.4, 15.1, 13.8, 99.2, 14.0, 13.5, 12.9, 14.7, 15.3, 13.1]","exampleUseCases":null,"resultDescription":"Returns count, sum, mean, median, mode, sample standard deviation, variance, min, max, range, p25/p50/p75/p90/p99 percentiles, IQR, and a list of IQR-flagged outlier values — all in a single deterministic, auditable response","failureModes":["Array exceeds 100,000 elements — request rejected","Empty or missing 'numbers' field — returns validation error","Non-numeric values in the array — parsing error or rejection","Payment not provided or insufficient — 402 Payment Required","Malformed JSON body — 400 Bad Request"],"whenToPreferThis":"Choose this endpoint when you need fast, deterministic, and auditable descriptive statistics without spending LLM reasoning tokens on arithmetic — especially for data QA pipelines, monitoring agents checking distributions, or any workflow where numeric accuracy and citability matter. Preferable over asking an LLM to compute statistics directly, eliminating arithmetic-hallucination risk.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-13T13:00:25.567Z","isFirstParty":false}