matrix_ops
Linear algebra on matrices, exactly where it matters. Determinant, inverse, RREF, rank, null space, linear solve (Ax = b), multiply, add / subtract, integer powers, trace and LU are computed with exact rational arithmetic (entries may be integers, decimals or "p/q" strings — 0.1 stays 1/10), retu...
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What matrix_ops does on ScorpTech x402 API
AI agents call matrix_ops to retrieve information from ScorpTech x402 API without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
a | array | Yes | Matrix A as an array of rows (max 40x40; 30x30 for exact ops). Entries: numbers or "p/q" strings |
b | array | — | Matrix B (multiply / add / subtract) or right-hand side vector / matrix (solve) |
op | string | — | |
norm | string | — | |
power | integer | — |
Parameters from the server's own tool schema.
Why matrix_ops is rated Low
Even though matrix_ops only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs matrix_ops safely
PolicyLayer is an MCP gateway: it sits between your AI agents and ScorpTech x402 API, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For matrix_ops, this is the rule to start with:
matrix_ops is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect ScorpTech x402 API, apply this rule, and every matrix_ops call is checked against it from then on.
Questions about matrix_ops
Linear algebra on matrices, exactly where it matters. Determinant, inverse, RREF, rank, null space, linear solve (Ax = b), multiply, add / subtract, integer powers, trace and LU are computed with exact rational arithmetic (entries may be integers, decimals or "p/q" strings — 0.1 stays 1/10), returned as exact values plus decimals. Floating-point eigenvalues (Jacobi for symmetric matrices with eigenvectors; Hessenberg + shifted QR for general matrices including complex eigenvalues, with eigenvectors for real eigenvalues), singular values (one-sided Jacobi SVD), QR, norms and condition number. op=analyze returns determinant, rank, trace, inverse, symmetry and eigenvalues in one call. Price: $0.002 USDC per successful call (x402, Solana). Same tool over HTTPS: POST https://scorptech.it.com/api/x402/v1/matrix-ops. It is categorised as a Read tool in the ScorpTech x402 API MCP Server, which means it retrieves data without modifying state.
matrix_ops accepts 5 parameters: a, b, op, norm, power. Required: a. The full parameter table on this page comes from the server's own tool schema.
Register the ScorpTech x402 API MCP server in PolicyLayer and add a rule for matrix_ops: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches ScorpTech x402 API. Nothing to install.
matrix_ops is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the matrix_ops rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for matrix_ops. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
matrix_ops is provided by the ScorpTech x402 API MCP server (https://scorptech.it.com/api/x402/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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