rateapi.lending.mortgage
Get AI-powered mortgage rate decision from 4,300+ US lenders. Returns recommended actions, current APR rates, estimated monthly payments, and confidence scores. Supports 30yr/15yr fixed and ARM products. Filter by state, amount, and credit tier.
This record as markdown: /tools/io-github-whiteknightonhorse-apibase/rateapi.lending.mortgage.md
What rateapi.lending.mortgage does on Apibase
AI agents call rateapi.lending.mortgage to retrieve information from Apibase 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 |
|---|---|---|---|
state | string | — | Two-letter US state code (e.g. "CA", "NY", "TX") |
amount | number | — | Loan amount in USD (e.g. 400000 for a $400K mortgage) |
intent | string | — | Loan intent: "purchase" for buying or "refinance" |
rate_type | string | — | Rate type: "fixed" or "adjustable" (ARM) |
term_months | integer | — | Loan term in months: 180 (15yr), 360 (30yr), or custom |
credit_score | string | — | Credit score tier for rate filtering |
Parameters from the server's own tool schema.
Why rateapi.lending.mortgage is rated Low
Tool retrieves mortgage rate information and recommendations without modifying data or committing financial obligations.
From the tool's definition Get AI-powered mortgage rate decision, returns recommended actions, current APR rates, estimated monthly payments
Attacks that exploit this kind of access
The rule that runs rateapi.lending.mortgage safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Apibase, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For rateapi.lending.mortgage, this is the rule to start with:
rateapi.lending.mortgage 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 Apibase, apply this rule, and every rateapi.lending.mortgage call is checked against it from then on.
Questions about rateapi.lending.mortgage
Get AI-powered mortgage rate decision from 4,300+ US lenders. Returns recommended actions, current APR rates, estimated monthly payments, and confidence scores. Supports 30yr/15yr fixed and ARM products. Filter by state, amount, and credit tier. It is categorised as a Read tool in the Apibase MCP Server, which means it retrieves data without modifying state.
rateapi.lending.mortgage accepts 6 parameters: state, amount, intent, rate_type, term_months, credit_score. The full parameter table on this page comes from the server's own tool schema.
Register the Apibase MCP server in PolicyLayer and add a rule for rateapi.lending.mortgage: 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 Apibase. Nothing to install.
rateapi.lending.mortgage 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 rateapi.lending.mortgage 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 rateapi.lending.mortgage. 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.
rateapi.lending.mortgage is provided by the Apibase MCP server (apibase-mcp-client). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Apibase, and thousands of servers like it.
This server
Across the catalogue