SeeLLM
How it worksFree ToolsPricingDocsReportsBlog
Open dashboard
SeeLLM Docs

Getting Started

Getting Started

Task quickstarts

Evaluate SeeLLM for Important PagesInstall Server-Side ObservationInterpret Evidence Before ActingRun a Weekly Evidence Review
Connect an Agent Through MCPMake a First REST API CallWork With SeeLLM JobsReceive Signed Agent Hooks

Shared foundations

Evidence Model
AI Traffic TypesContent Valuation

Reference

OverviewAuthenticationAnalytics EndpointsJobs APIAgent Hooks
OverviewMCP Tools ReferenceMCP Setup Guide

Integrations

Vercel Middleware

Guides

Reading Weekly TrendsBlocking AI Platforms

SeeLLM documentation

Start with the work you need to complete.

SeeLLM documents evidence separately from inference so people and automation can make decisions from the same verifiable record.

For people

Evaluate

Choose important pages and establish what a public check can actually show.

Install

Connect supported server-side observation and confirm adapter activity.

Interpret

Separate observed, sampled, and inferred evidence before acting.

Weekly workflow

Review request changes, choose a bounded follow-up, and recheck the same context.

For agents & automation

MCP

Configure a Streamable HTTP client and verify the available tools.

REST

Make a first authenticated request against a documented endpoint.

Jobs

Read evidence, distinguish implementation from work, and record an action.

Agent Hooks

Verify signed job deliveries before an agent accepts work.

Shared foundations

Evidence ModelAI Traffic TypesContent Valuation

Reference

REST APIMCP toolsAuthenticationAgent Hooks