loan_amortization
Loan / mortgage amortization: periodic payment, total interest, payoff date and a yearly or full payment schedule (principal, interest, balance) for any rate, term and payment frequency (monthly, bi-weekly, weekly, quarterly, annual). Extra payments per period show months and interest saved. Fixe...
This record as markdown: /tools/com-it-scorptech-x402/loan-amortization.md
What loan_amortization does on ScorpTech x402 API
AI agents call loan_amortization 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 |
|---|---|---|---|
schedule | string | — | Schedule detail (full is capped at 600 rows) |
principal | number | Yes | Amount borrowed |
startDate | string | — | First payment date YYYY-MM-DD (for payoff date) |
termYears | number | — | Term in years (or use termMonths) |
termMonths | integer | — | Term in months |
extraPayment | number | — | Extra principal paid every period |
annualRatePct | number | Yes | Nominal annual interest rate in percent |
paymentsPerYear | integer | — | Payment frequency |
Parameters from the server's own tool schema.
Why loan_amortization is rated Low
Even though loan_amortization 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 loan_amortization 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 loan_amortization, this is the rule to start with:
loan_amortization 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 loan_amortization call is checked against it from then on.
Questions about loan_amortization
Loan / mortgage amortization: periodic payment, total interest, payoff date and a yearly or full payment schedule (principal, interest, balance) for any rate, term and payment frequency (monthly, bi-weekly, weekly, quarterly, annual). Extra payments per period show months and interest saved. Fixed-rate, level-payment loans. Price: $0.002 USDC per successful call (x402, Solana). Same tool over HTTPS: GET https://scorptech.it.com/api/x402/v1/loan-amortization. It is categorised as a Read tool in the ScorpTech x402 API MCP Server, which means it retrieves data without modifying state.
loan_amortization accepts 8 parameters: schedule, principal, startDate, termYears, termMonths, extraPayment, annualRatePct, paymentsPerYear. Required: principal, annualRatePct. 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 loan_amortization: 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.
loan_amortization 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 loan_amortization 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 loan_amortization. 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.
loan_amortization 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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