> For the complete documentation index, see [llms.txt](https://docs.dapplooker.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.dapplooker.com/get-started/quick-start.md).

# Quick Start

## What You’ll Build

In this guide, you'll fetch real-time on-chain intelligence and integrate it into an AI agent within minutes.

By the end, you will be able to:

* Query token data (price, indicators, smart money flow)
* Use the data inside an AI workflow
* Build a foundation for trading, risk or analytics agents

***

## Setup Guide

### Prerequisites

* Basic understanding of APIs
* curl, Node.js, or Python
* Optional: an AI agent or LLM setup

### Step 1 : Get Access

#### Option A - x402 (Recommended)

Use x402 with USDC for per-request payments - no API key required.\
Fast setup, instant access, and ready-to-use integration.\
Ideal for autonomous agents.

#### Option B - API Key

To get access to your API key, please send a request to <help@dapplooker.com> or contact us via [Discord](https://discord.gg/EW9eDXTS) for faster assistance.

***

### Step 2 : Make Your First Request

#### Example: Token Intelligence

```sh
curl https://api.dapplooker.com/v1/crypto-market?token_tickers=VIRTUAL&chain=base
```

#### Example Response

{% code expandable="true" %}

```json
{
  "success": true,
  "data": [
    {
      "id": "virtual-protocol",
      "token_info": {
        "id": "virtual-protocol",
        "symbol": "VIRTUAL",
        "name": "Virtuals Protocol",
        "handle": "virtuals_io",
        "description": "An AI x Metaverse Protocol that is building the future of virtual interactions.",
        "ca": "0x0b3e328455c4059eeb9e3f84b5543f74e24e7e1b",
        "chain": "base"
      },
      "technical_indicators": {
        "support": "0.6681064012",
        "resistance": "0.7237519807",
        "rsi": "35.38",
        "sma": "0.6934899312"
      },
      "token_metrics": {
        "usd_price": "0.6718",
        "mcap": "440980066.00",
        "fdv": "671787004.00",
        "volume_24h": "64892107.00",
        "total_liquidity": null,
        "price_change_percentage_1h": "-1.84",
        "price_change_percentage_24h": "-2.79",
        "price_change_percentage_7d": "-4.93",
        "price_change_percentage_30d": "2.15",
        "volume_change_percentage_7d": "-9.40",
        "volume_change_percentage_30d": "42.30",
        "mcap_change_percentage_7d": "-3.50",
        "mcap_change_percentage_30d": "4.90",
        "price_high_24h": "0.7238",
        "price_ath": "5.0700",
        "circulating_supply": "656428396.70",
        "total_supply": "1000000000.00"
      },
      "x_social_metrics": {
        "mindshare_3d": 9.8124259049597,
        "mindshare_change_percentage_3d": 2.7,
        "impression_count_3d": 322510,
        "impression_count_change_percentage_3d": 104.55,
        "engagement_count_3d": 8286,
        "engagement_count_change_percentage_3d": 232.77,
        "follower_count_3d": 273141,
        "smart_follower_count_3d": 4338,
        "mindshare_7d": 7.91001915457965,
        "mindshare_change_percentage_7d": 54.52,
        "impression_count_7d": 969438,
        "impression_count_change_percentage_7d": -42.56,
        "engagement_count_7d": 11851,
        "engagement_count_change_percentage_7d": -1.65,
        "follower_count_7d": 279107,
        "smart_follower_count_7d": 4800
      },
      "last_updated_at": "2026-04-29T18:45:20.520Z"
    }
  ],
  "meta": {
    "pagination": {
      "page": 1,
      "pageSize": 30,
      "pageCount": 1,
      "total": 1
    }
  }
}
```

{% endcode %}

#### What this provides

* Price and technical indicators
* Smart money flow insights
* Confidence score for AI-driven decisions

***

### Step 3 : Use in an AI Agent

DappLooker provides the data layer. Your AI model provides the reasoning layer.

#### Quick Example (Node.js)

```typescript
const query = "Is ETH bullish right now?";

const response = await fetch(
  "https://api.dapplooker.com/v1/crypto-market?token_tickers=ETH"
);

const data = await response.json();

// Pass `data` into your LLM for reasoning
```

#### Architecture Overview

```
User → AI Agent → DappLooker API → LLM → Action
```

DappLooker acts as the real-time data engine powering your agent.

***

### Step 4 : Explore More APIs

DappLooker provides multiple agent-ready endpoints:

{% content-ref url="/pages/FF7zwFXkzDKksLlG6vfB" %}
[API Endpoints](/products/api-endpoints.md)
{% endcontent-ref %}

***

## Example Use Cases

* AI agents executing trades based on real-time signals
* Quant bots capturing arbitrage and funding opportunities
* Smart alerts for wallets and exchanges
* Treasury agents optimizing yield and allocations
* Copilots powering trading apps and terminals
* Analytics tools for token insights and research
* Enterprise feeds for trading desks and funds

***

## Next Steps

* Connect your AI agent
* Dive into the API [documentation](/get-started/introduction.md)
* Need help or a demo? Join [Discord](https://discord.gg/VQMWhkzF) | [Book a Call](https://calendly.com/prakhhaar/dapplooker-ai-request)