{"uid":"cap_wZDUzUs0KWkvJvsC4b-Nr","slug":"numora-matrix-multiply-3c46f7b3","name":"Numora Matrix Multiply","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://numormo.vercel.app/api/matrix/multiply","method":"POST","headers":{},"bodySchema":{"type":"object","required":["A","B"],"properties":{"A":{"type":"array","description":"Matrix (2D array)"},"B":{"type":"array"}}},"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_pPG_pccziIoJJkRYlZpPc","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":"Multiplies two matrices (2D arrays) and returns the resulting matrix with a human-readable computation description.","exampleAgentPrompt":"Multiply matrix A [[1,2],[3,4]] by matrix B [[5,6],[7,8]] and give me the resulting matrix.","exampleUseCases":[{"title":"Neural network weight transformation","prompt":"I need to multiply my weight matrix [[0.5,0.2,0.1],[0.4,0.3,0.6]] by the input matrix [[1],[0],[1]] to compute the layer output — can you run that matrix multiplication?"},{"title":"2D rotation transform composition","prompt":"I have two rotation matrices I want to combine: A is [[0,-1],[1,0]] and B is [[0,1],[-1,0]] — multiply them together so I can get the composed transformation."},{"title":"Economics input-output matrix product","prompt":"Can you multiply my 3x3 industry coefficient matrix [[0.1,0.2,0.3],[0.4,0.1,0.2],[0.3,0.2,0.1]] by the demand vector [[100],[200],[150]] to get the total output vector?"}],"resultDescription":"Returns a JSON object with 'success' (boolean), 'result' (the product matrix as a 2D array or equivalent object), and 'computation' (a human-readable string describing what was computed, e.g. '2x2 matrix multiplied by 2x2 matrix').","failureModes":["Incompatible matrix dimensions (columns of A must equal rows of B) — returns error or success:false","Non-rectangular arrays (jagged arrays) may cause parsing errors","Non-numeric values in matrix elements will fail computation","Missing required fields A or B returns validation error","Very large matrices may exceed compute limits or timeout"],"whenToPreferThis":"Use this endpoint when you need a pure, serverless, zero-dependency matrix multiplication with guaranteed numeric precision and a human-readable computation summary. Prefer it over general-purpose code execution when you want a lightweight, metered micropayment per-call model without spinning up a math runtime. Ideal for AI agents doing linear algebra steps as part of a larger workflow (ML inference, geometric transforms, economics models) where calling a dedicated math API is cleaner than executing untrusted code.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T00:49:47.648Z","isFirstParty":false}