{"uid":"cap_iEPgaeP26tS8HnqicK_vJ","slug":"numora-matrix-norm-api-d0eb3562","name":"Numora Matrix Norm API","description":"100 pure math computation endpoints for AI agents. Statistics, financial math, linear algebra, equation solving, calculus, number theory, sequence generation, and unit conversions. Zero external dependencies. x402 micropayments on Base.","url":"https://numomo.vercel.app/api/matrix/norm","method":"POST","headers":{},"bodySchema":{"type":"object","required":["A"],"properties":{"A":{"type":"array","description":"Matrix (2D array)"},"type":{"type":"string"}}},"responseSchema":{"type":"object","required":["success","result","computation"],"properties":{"result":{"type":"object","description":"Computation result varies by endpoint"},"success":{"type":"boolean","description":"Always true on success"},"computation":{"type":"string","description":"Human-readable description of what was computed"}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.1","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"registry","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":"$0.1/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.1","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.1","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_SvG-VzUIQz8KnleJo0bQf","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.1","costPer":"request","priority":0,"asset":null,"unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Computes the norm of a matrix (e.g. Frobenius, 1-norm, infinity-norm) given a 2D array input","exampleAgentPrompt":"Calculate the Frobenius norm of this matrix: [[1, 2], [3, 4]].","exampleUseCases":[{"title":"Validate neural network weight matrix scale","prompt":"Compute the Frobenius norm of my weight matrix [[0.5, -0.3, 0.1], [0.2, 0.8, -0.4]] so I can check if the weights are in a reasonable range."},{"title":"Linear algebra homework check","prompt":"What is the 1-norm of the matrix [[2, -1], [4, 3], [0, 5]]? I need to verify my hand calculation."},{"title":"Condition number preprocessing step","prompt":"Calculate the infinity norm of the matrix [[3, 1, -2], [0, 4, 1], [1, -1, 5]] — I need it as part of estimating the condition number."}],"resultDescription":"Returns a JSON object with a boolean 'success' field, a 'result' object containing the computed norm value, and a 'computation' string describing in human-readable form what was calculated (e.g. 'Frobenius norm of a 3x3 matrix = 7.416').","failureModes":["Missing required 'A' field returns an error response","Non-rectangular or malformed 2D array may produce unexpected results","Invalid or unsupported norm 'type' string may fall back to default or error","Payment failure via x402 micropayment blocks request execution","Very large matrices may hit compute or payload size limits"],"whenToPreferThis":"Choose this endpoint when you need a pure server-side matrix norm computation with no external library dependencies, especially in agentic pipelines where you want a lightweight, pay-per-use call via x402 micropayments on Base rather than running a local math library. Ideal for quick norm checks on small-to-medium matrices as part of a larger numerical workflow.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-16T00:46:18.472Z","isFirstParty":false}