# Crypto Intel (`fiery_dream/crypto-intel`) Actor

Enterprise-grade cryptocurrency and DeFi market intelligence agent.

- **URL**: https://apify.com/fiery\_dream/crypto-intel.md
- **Developed by:** [Cody Churchwell](https://apify.com/fiery_dream) (community)
- **Categories:** AI, Agents, Other
- **Stats:** 9 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.01 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Crypto & DeFi Intelligence

Enterprise-grade cryptocurrency and DeFi market intelligence agent.

### Features

- **Real-time Prices**: Top 100+ coins with 1h, 24h, 7d, 30d changes
- **Fear & Greed Index**: Market sentiment tracking
- **DeFi Protocol TVL**: Track 100+ protocols across chains
- **Yield Opportunities**: Best DeFi yield pools
- **Stablecoin Monitoring**: Market caps and peg health
- **Order Book Depth**: Binance liquidity analysis
- **Trending Coins**: What's hot right now
- **AI-Powered Analysis**: Market insights and trading recommendations

### Data Sources (100% FREE, NO API KEY REQUIRED)

| Source | Data Provided |
|--------|---------------|
| CoinGecko | 13,000+ coins, market data, trending |
| Binance | Order books, candlesticks, 24h tickers |
| DeFi Llama | Protocol TVL, chain data, yields |
| Alternative.me | Fear & Greed Index |
| GDELT | Crypto news monitoring |

### Input Parameters

| Parameter | Type | Description |
|-----------|------|-------------|
| modules | array | Data modules to fetch |
| coins | array | Specific coin IDs for detailed analysis |
| vs\_currency | string | Quote currency (usd, eur, btc, etc.) |
| include\_ai\_analysis | boolean | Enable AI market analysis |

### Sentiment Levels

| Level | Score | Description |
|-------|-------|-------------|
| EXTREME FEAR | 0-19 | Capitulation, buying opportunity |
| FEAR | 20-39 | Bearish sentiment |
| NEUTRAL | 40-59 | No strong bias |
| GREED | 60-79 | Bullish sentiment |
| EXTREME GREED | 80-100 | Euphoria, correction risk |

### Output

```json
{
  "timestamp": "2024-01-15T14:30:00Z",
  "sentiment_assessment": {
    "score": 65,
    "level": "GREED",
    "description": "Bullish sentiment. Monitor for overbought conditions.",
    "factors": ["Fear & Greed: 68 (Greed)", "BTC dominance: 52%"]
  },
  "global_market": {
    "total_market_cap_usd": 1850000000000,
    "market_cap_change_percentage_24h_usd": 2.5
  },
  "coins": [...],
  "defi_protocols": [...],
  "yield_pools": [...],
  "ai_analysis": "Based on current market conditions..."
}
```

### Use Cases

- **Trading Desks**: Real-time market monitoring
- **DeFi Investors**: TVL and yield tracking
- **Portfolio Managers**: Multi-asset analysis
- **Research Analysts**: Market reports
- **Automated Trading**: Data feeds for bots
- **Media/News**: Market updates

### Example Usage

```bash
apify call crypto-intel -i '{
  "modules": ["market_data", "defi", "fear_greed", "yields"],
  "coins": ["bitcoin", "ethereum", "solana"],
  "include_ai_analysis": true
}'
```

### Pricing

Pay-per-event pricing:

- $0.001 per module fetched
- AI analysis included when API key provided

| Event | Price |
|-------|-------|
| crypto-report | $0.001 per module |
| Default dataset item | $0.00001 |

### Disclaimer

This tool provides market information for research purposes only. Not financial advice. Cryptocurrency investments carry high risk. Always do your own research and consult with financial professionals.

# Actor input Schema

## `modules` (type: `array`):

Select which crypto data to fetch

## `coins` (type: `array`):

Optional: CoinGecko coin IDs for detailed analysis (e.g., bitcoin, ethereum, solana)

## `vs_currency` (type: `string`):

Currency for prices

## `include_ai_analysis` (type: `boolean`):

Use AI to generate market insights (requires API key)

## `model_name` (type: `string`):

LLM model for analysis

## `query` (type: `string`):

Optional: Specific question about the crypto market

## `max_results` (type: `integer`):

Maximum coins/protocols to return

## `api_key` (type: `string`):

API key for the selected AI model (Google AI Studio key for Gemini, OpenAI key for GPT, Anthropic key for Claude)

## Actor input object example

```json
{
  "modules": [
    "market_data",
    "trending",
    "global",
    "defi",
    "fear_greed",
    "stablecoins"
  ],
  "vs_currency": "usd",
  "include_ai_analysis": true,
  "model_name": "gemini/gemini-2.0-flash",
  "max_results": 100
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("fiery_dream/crypto-intel").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("fiery_dream/crypto-intel").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call fiery_dream/crypto-intel --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=fiery_dream/crypto-intel",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/SSBeGMODX0s6uHQYQ/builds/pXJUfdfMS7P8DVaKv/openapi.json