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‎website/next.config.js‎

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@@ -71,6 +71,13 @@ const withNextra = nextra({
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type: 'children',
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title: t('global.navigation.tokenApi'),
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},
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'---4': {
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type: 'separator',
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},
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'ai-suite': {
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type: 'children',
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title: t('global.navigation.ai-suite'),
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},
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'---5': {
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type: 'separator',
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},

‎website/src/pages/en/ai-suite/_meta-titles.json‎

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{
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"the-graph-assistant": "The Graph Assistant"
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}

‎website/src/pages/en/ai-suite/_meta.js‎

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import titles from './_meta-titles.json'
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export default {
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'the-graph-assistant': 'The Graph Assistant',
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}

‎website/src/pages/en/ai-suite/the-graph-assistant/_meta.js‎

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export default {
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'quick-start': 'Quick Start',
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introduction: 'Introduction',
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}

‎website/src/pages/en/ai-suite/the-graph-assistant/introduction.mdx‎

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---
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title: Introduction
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---
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The Graph Assistant gives instant, code-free access to blockchain data, transforming natural language into precise, AI-powered queries without the need to code.
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## Overview
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### What is The Graph Assistant?
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It's an advanced, agentic easy to use interface for querying blockchain data using natural language. It automatically interprets user intent, generates precise queries, executes them via The Graph and Token API, and presents structured, AI-powered answers without requiring any code.
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Unlike traditional dashboards or chatbots, The Graph Assistant simplifies technical complexity and delivers composable insights directly from indexed subgraphs and token datasets.
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## How to Use The Graph Assistant
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You type a natural language question into the chat interface, such as:
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```yaml
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"What's the total number of DAI transfers on Optimism last week?"
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```
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### Behind the Scenes
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The assistant:
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1. Interprets your intent
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2. Maps it to the correct Subgraphs or Token API endpoint
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3. Executes optimized queries
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4. Returns results as a clean, readable table.
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You don't need to write queries or understand a Subgraph's schema, you simply ask.
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To get started follow the [quickstart]() and explore it's capabilities.
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## Core Features
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| Feature | Description |
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| --- | --- |
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| **Friendly Interface** | Conversational access to blockchain data via natural language. You simply ask questions, the assistant fetches the answer, and renders it as a table |
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| **Backed by Subgraphs** | Uses subgraphs to index protocol-specific data like transactions, events, and protocol metrics |
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| **Backed by Token API** | Uses Token API for token-level information like balances, transfers, and metadata. |
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| **No Setup Required** | No need to configure data sources or write queries. |
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| **Automatic Query Building** | The assistant performs complex queries such as fetching historical token volumes, protocol analytics, or cross-chain data and handles filtering, pagination, and joins across Subgraphs automatically. |
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| **Supports Complex Data Needs** | Handles multi-chain, historical, and analytical requests (e.g., volume over time, asset flows, usage metrics). |

‎website/src/pages/en/ai-suite/the-graph-assistant/quick-start.mdx‎

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---
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title: Quick Start
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---
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This guide provides step-by-step instructions for getting started with The Graph AI Assistant quickly.
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## Step-by Step
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### Step 1. Create an Account
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Go to: (The Graph AI)[thegraph.com/ai]
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- Click Sign Up (or Log In if you already have an account).
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- Use your GitHub or email credentials.
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- No additional setup is required
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### Step 2. Open the Assistant Chat
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After logging in:
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- You'll see the assistant interface.
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- At the bottom of the page, you will find a chat input bar. This is where you will interact with the assistant.
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### Step 3: Ask Your First Question
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In the input bar, type a natural-language query (everyday language).
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Example:
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```yaml
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Show me the 24-hour trading volume of XYZ token on Ethereum
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```
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The assistant will:
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- Digest your question
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- Fetch onchain data using Subgraphs or the Token API
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- Return a clean, formatted response in markdown with the data you need

‎website/src/pages/en/global.json‎

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"subgraphs": "Subgraphs",
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"substreams": "Substreams",
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"sps": "Substreams-Powered Subgraphs",
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"ai-suite": "AI Suite",
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"tokenApi": "Token API",
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"indexing": "Indexing",
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"resources": "Resources",

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