Quickstart

Place SecureFetch AI between retrieval and inference.

The simplest integration pattern is to inspect retrieved content before it reaches prompt assembly, memory updates, or tool execution.

Step 1: Fetch content normally

Your agent, crawler, or retrieval service fetches a page, document, or search result from an external source.

Step 2: Inspect before model use

Send the normalized source text to SecureFetch AI and collect structured outputs before passing the content into the model.

Step 3: Apply policy

Use the returned signals to allow, warn, quarantine, review, or block the content.

Step 4: Continue the workflow

Only approved content moves into summarization, answer generation, agent memory, or tool-calling chains.

Minimal workflow example

fetch external source
extract text and metadata
send text to SecureFetch AI
receive risk signals and policy recommendation
if approved, continue to prompt assembly
if not approved, block or route for review