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Sindri Matrix Operations
x402
Sindri Matrix Operations is a paid API for AI agents from ppu43fkyhimq5fiqpmo42eh5ri0yypid.lambda-url.us-east-1.on.aws, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-30).
Performs matrix multiplication, transposition, determinant calculation, and inversion for matrices up to 20×20 using LU decomposition with near-singularity protection.
Price / call$0.01
Success—
StatusUnknown
How this service works
Matrix operations: multiply, transpose, determinant, and invert, for matrices up to 20x20. Uses the ml-matrix library's LU decomposition (LuDecomposition) for determinant and inversion, with a numerical near-singularity guard beyond the library's exact-singular check.
Output
Returns the result of the requested matrix operation: a 2D array for multiply, transpose, or invert, or a scalar number for determinant. If the matrix is singular or near-singular (detected via LU decomposition), returns an error indicating the matrix cannot be inverted or its determinant cannot be reliably computed.
Example use cases
Solve a system of linear equations
“I need to invert this 3x3 matrix to solve my linear system: [[2,1,0],[1,3,1],[0,1,2]]. Can you get the inverse?”
Verify matrix multiplication result
“Can you multiply matrixA = [[1,0,0],[0,1,0],[0,0,1]] by matrixB = [[4,7],[2,6],[3,8]] and give me the result?”
Check if a matrix is singular
“Can you compute the determinant of this 4x4 matrix: [[1,2,3,4],[5,6,7,8],[9,10,11,12],[13,14,15,16]]? I want to know if it's invertible.”
Technical details
Endpoint
POSThttps://ppu43fkyhimq5fiqpmo42eh5ri0yypid.lambda-url.us-east-1.on.aws/matrixOperations?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need reliable, numerically guarded matrix operations (multiply, transpose, determinant, inversion) for matrices up to 20×20 without setting up a local linear algebra library. Especially useful when near-singularity protection matters, as the LU decomposition guard prevents silent numerical failures that raw implementations might miss.
Side effects
- Matrix is exactly singular — LU decomposition detects this and returns an error
- Matrix is near-singular — numerical guard triggers and prevents unreliable inversion
- matrixB not provided for multiply operation — validation error
- Matrix dimensions exceed 20x20 — rejected by size limit
- Non-rectangular or jagged array input — may cause computation error
- Mismatched dimensions for multiplication (cols of A ≠ rows of B) — returns dimension mismatch error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| matrixA | array | A 2D array of numbers, up to 20x20. |
| matrixB | array | A 2D array of numbers, required only for multiply. |
| operation | string | Operation to perform. |
Tags
x402
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