{"provider":{"host":"linear-algebra.x402tookit.com","name":"Linear Algebra","score":10.5,"live":false,"checkedAt":null,"uptime72h":null,"lastCheck":null,"endpoints":10,"networks":["eip155:137","eip155:42161","eip155:8453","solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp"],"cheapestUsd":"0.02","income7dUsd":"8.49","payers7d":2,"transfers7d":287,"payoutAddressShared":true,"claimed":false,"page":"https://logicnodes.io/observatory/p/linear-algebra.x402tookit.com"},"endpoints":[{"url":"https://linear-algebra.x402tookit.com/determinant","method":"GET","priceMicroUsd":20000,"networks":["eip155:137","eip155:42161","eip155:8453","solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp"],"description":"Determinant of a square matrix (up to 10x10) by LU with partial pivoting, flagging a numerically singular matrix."},{"url":"https://linear-algebra.x402tookit.com/eigen","method":"GET","priceMicroUsd":20000,"networks":["eip155:137","eip155:42161","eip155:8453","solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp"],"description":"Eigenvalues and eigenvectors of a 2x2 matrix (closed form) or a symmetric matrix up to 10x10 (Jacobi)."},{"url":"https://linear-algebra.x402tookit.com/inverse","method":"GET","priceMicroUsd":20000,"networks":["eip155:137","eip155:42161","eip155:8453","solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp"],"description":"Inverse of a square matrix (up to 10x10) by Gauss-Jordan, with A*inv(A) residual and a condition number."},{"url":"https://linear-algebra.x402tookit.com/least-squares","method":"GET","priceMicroUsd":20000,"networks":["eip155:137","eip155:42161","eip155:8453","solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp"],"description":"Least-squares line or polynomial fit (degree 1 to 6, up to 100 points) with coefficients, R-squared and residuals."},{"url":"https://linear-algebra.x402tookit.com/matrix-multiply","method":"GET","priceMicroUsd":20000,"networks":["eip155:137","eip155:42161","eip155:8453","solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp"],"description":"Multiply two matrices (up to 10x10) given as JSON, with shape check and the product matrix."},{"url":"https://linear-algebra.x402tookit.com/rank","method":"GET","priceMicroUsd":20000,"networks":["eip155:137","eip155:42161","eip155:8453","solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp"],"description":"Rank, nullity and reduced row echelon form of a matrix (up to 10x10) with pivot columns."},{"url":"https://linear-algebra.x402tookit.com/solve","method":"GET","priceMicroUsd":20000,"networks":["eip155:137","eip155:42161","eip155:8453","solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp"],"description":"Solve Ax=b (n up to 10) by Gaussian elimination with partial pivoting; flags singular and ill-conditioned systems."},{"url":"https://linear-algebra.x402tookit.com/transform-compose","method":"GET","priceMicroUsd":20000,"networks":["eip155:137","eip155:42161","eip155:8453","solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp"],"description":"Compose 2D or 3D rotate, scale and translate steps into one homogeneous matrix, optionally applied to a point."},{"url":"https://linear-algebra.x402tookit.com/transpose","method":"GET","priceMicroUsd":20000,"networks":["eip155:137","eip155:42161","eip155:8453","solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp"],"description":"Transpose a matrix (up to 10x10) with trace, symmetry and skew-symmetry flags, and Frobenius and 1-norms."},{"url":"https://linear-algebra.x402tookit.com/vector-ops","method":"GET","priceMicroUsd":20000,"networks":["eip155:137","eip155:42161","eip155:8453","solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp"],"description":"Vector dot, cross, norm, angle, projection, unit vector and distance for vectors of up to 100 entries."}]}