# Crypto Sentiment Tracker (`second_coming/crypto-sentiment-tracker`) Actor

Tracks crypto market sentiment using Alternative.me Fear & Greed Index, CoinGecko trending, and CryptoCompare news. Provides sentiment scoring, correlation analysis, and historical data.

- **URL**: https://apify.com/second\_coming/crypto-sentiment-tracker.md
- **Developed by:** [Richard P](https://apify.com/second_coming) (community)
- **Categories:** AI, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## 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 Sentiment Tracker

A real-time crypto market sentiment monitoring tool that aggregates signals from Alternative.me's Fear & Greed Index, CoinGecko trending coins, and CryptoCompare news feeds. It computes composite sentiment scores per coin, classifies sentiment states, measures how news sentiment correlates with market behavior, and produces a concise summary of the current market mood.

Technical capabilities include multi-source sentiment retrieval, fear & greed index tracking, trending coin discovery with market metrics, news feed ingestion with per-article sentiment scoring, correlation analysis between news and market signals, and structured JSON output containing sentiment scores, labels, timestamps, coin identifiers, market metrics, news metadata, correlation scores, and human-readable summaries.

### Use cases

- Monitor overall crypto market sentiment via the Fear & Greed Index and trending activity
- Track sentiment for specific coins with configurable result limits
- Correlate news sentiment with price action to spot divergences
- Build automated sentiment alerts and dashboards with scheduled runs
- Backfill historical sentiment snapshots for analysis

### Input

| Field | Type | Default | Description |
| ----- | ---- | ------- | ----------- |
| coins | array | `["bitcoin"]` | Coin identifiers (e.g. `bitcoin`, `ethereum`) to track |
| maxResults | integer | `5` | Maximum results per source |
| includeFearGreed | boolean | `true` | Include Fear & Greed Index data |
| includeTrending | boolean | `false` | Include CoinGecko trending coins |
| includeNews | boolean | `false` | Include CryptoCompare news with sentiment |

### Output

Each run produces dataset records with `recordType` (`fear_greed`, `trending`, `news`, or `summary`), sentiment scores and labels, market metrics (price change, market cap, volume), news metadata, correlation scores, and an aggregated market summary.

### Pricing

This Actor is charged per event: $0.02 per run.

# Actor input Schema

## `includeFearGreed` (type: `boolean`):

Fetch current and historical Fear & Greed Index data from Alternative.me

## `includeTrending` (type: `boolean`):

Fetch trending coins from CoinGecko with sentiment scoring

## `includeNews` (type: `boolean`):

Fetch and analyze crypto news sentiment from CryptoCompare

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

CoinGecko coin IDs to analyze (e.g. bitcoin, ethereum, solana). Leave empty for trending only.

## `maxResults` (type: `integer`):

Maximum number of news articles to fetch (1-100)

## Actor input object example

```json
{
  "includeFearGreed": true,
  "includeTrending": true,
  "includeNews": true,
  "coins": [
    "bitcoin",
    "ethereum",
    "solana"
  ],
  "maxResults": 25
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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("second_coming/crypto-sentiment-tracker").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("second_coming/crypto-sentiment-tracker").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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 second_coming/crypto-sentiment-tracker --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,second_coming/crypto-sentiment-tracker"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/nl8Xh3mFM3BJo8BOg/builds/tmop2OSvULLcXsp1k/openapi.json