search.semantic.similar
Find web pages semantically similar to a given URL — discover related content, competitors, alternatives without knowing what to search for. Unique capability for research agents (Exa)
This record as markdown: /tools/io-github-whiteknightonhorse-apibase/search.semantic.similar.md
What search.semantic.similar does on Apibase
AI agents call search.semantic.similar 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 |
|---|---|---|---|
url | string | Yes | Reference URL — Exa finds pages semantically similar to this one |
num_results | integer | — | Number of similar pages (default 10, max 25) |
include_text | boolean | — | Include full extracted page text (default false) |
start_published_date | string | — | Only include similar pages published after this date (ISO format) |
exclude_source_domain | boolean | — | Exclude results from same domain as input URL (default true) |
Parameters from the server's own tool schema.
Why search.semantic.similar is rated Low
Queries and retrieves web content; no data modification, deletion, or side effects occur.
From the tool's definition Find web pages semantically similar to a given URL — discover related content
Risk signalsAccepts URL/endpoint input (url)
Attacks that exploit this kind of access
The rule that runs search.semantic.similar 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 search.semantic.similar, this is the rule to start with:
search.semantic.similar 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 search.semantic.similar call is checked against it from then on.
Questions about search.semantic.similar
Find web pages semantically similar to a given URL — discover related content, competitors, alternatives without knowing what to search for. Unique capability for research agents (Exa). It is categorised as a Read tool in the Apibase MCP Server, which means it retrieves data without modifying state.
search.semantic.similar accepts 5 parameters: url, num_results, include_text, start_published_date, exclude_source_domain. Required: url. 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 search.semantic.similar: 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.
search.semantic.similar 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 search.semantic.similar 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 search.semantic.similar. 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.
search.semantic.similar 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.
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