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Linear Algebra Matrix Multiplication
x402
Linear Algebra Matrix Multiplication is a paid API for AI agents from linear-algebra.x402tookit.com, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-29).
Multiplies two matrices (up to 10x10) provided as JSON arrays, returning the product matrix along with shape information and validity checks.
Price / call$0.02
Success—
StatusUnknown
How this service works
Multiply two matrices (up to 10x10) given as JSON, with shape check and the product matrix.
Output
Returns the product matrix as a 2D JSON array, along with the output shape (rows x cols), a boolean indicating whether the result is square, a human-readable summary, reasons for any validation failures, and metadata fields like asOf and source.
Example use cases
Graphics transformation pipeline
“I need to multiply the rotation matrix [[0,-1],[1,0]] by the scaling matrix [[2,0],[0,2]] to get the combined 2D transformation — what's the product?”
Neural network weight propagation check
“Can you compute the matrix product of A = [[0.5,0.2],[0.1,0.8],[0.3,0.4]] and B = [[1,0,1],[0,1,0]] and tell me the shape of the result so I can verify my layer dimensions?”
Physics simulation matrix chaining
“Multiply these two 3x3 matrices for me: A = [[1,0,0],[0,1,0],[0,0,1]] and B = [[2,3,1],[4,0,2],[1,5,3]] — I need the product to chain my physics transformations.”
Technical details
Endpoint
GEThttps://linear-algebra.x402tookit.com/matrix-multiply?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, validated matrix multiplication of two matrices up to 10x10, especially when you want shape-checking and a human-readable summary alongside the numeric result. It is ideal for agentic workflows that need to verify dimensional compatibility before downstream use. Prefer this over a general-purpose code interpreter when you want a lightweight, pay-per-call computation without spinning up a full runtime.
Side effects
- Incompatible dimensions: columns of A do not equal rows of B — returns reasons array explaining the mismatch
- Matrix exceeds 10x10 limit — returns an error or validation failure
- Malformed JSON input for A or B — request fails to parse
- Non-numeric values in matrix entries — computation cannot proceed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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