# DeFiLlama Monitor — DeFi TVL & Yield Data (`brick_joey_yto/defillama-monitor`) Actor

Keyless DeFiLlama data: protocol TVL, chain rankings, 15k yield pools with APY, movers & protocol watch — DeFi market intel for traders & funds.

- **URL**: https://apify.com/brick_joey_yto/defillama-monitor.md
- **Developed by:** [William Billings](https://apify.com/brick_joey_yto) (community)
- **Categories:** Developer tools, Automation, Business
- **Features:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## DeFiLlama Monitor — DeFi TVL & Yield Data

**The DeFi data standard, as a scheduled feed** — keyless DeFiLlama data: 8,900+ protocols' TVL with 1h/24h/7d change, 420 chain rankings, 15,900+ yield pools with APY + risk predictions, and protocol watch alerts. No API key, no login — $0.001/row.

### Who it's for

- **DeFi traders & funds** — TVL flows tell the story: watch protocols you're positioned in, spot where capital is moving before the market prices it
- **Yield hunters** — top APY pools with stablecoin filters, IL-risk flags, and DeFiLlama's own APY predictions
- **Researchers & analysts** — chain-level TVL, protocol categories, fee data — the same feed DeFi dashboards use

### Modes

| Mode | What you get |
|---|---|
| **protocols** | Top protocols by TVL — name, category, chains, TVL, 1h/24h/7d change, mcap |
| **movers** | Biggest 24h TVL gainers or losers — where capital is flowing |
| **chains** | Chain TVL rankings (420 chains) — ecosystem-level flows |
| **yields** | Top yield pools by APY — stablecoin filter, IL-risk, predictions |
| **watch** | TVL snapshot for your protocol list — **schedule hourly** |

### Example output

```json
{
  "recordType": "yield_pool", "project": "aave-v3", "symbol": "USDC",
  "chain": "Ethereum", "apy": 4.82, "tvlUsd": 1200000000,
  "stablecoin": true, "ilRisk": "no",
  "predictions": {"predictedClass": "Stable/Up", "binnedConfidence": 3}
}
```

### Example inputs

```json
{ "mode": "protocols", "category": "Lending", "limit": 50 }
{ "mode": "yields", "stablecoinOnly": true, "minTvl": 5000000, "limit": 25 }
{ "mode": "watch", "protocolsList": ["aave", "lido", "eigenlayer"] }
```

### Pricing

$0.001 per row — no subscription.

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# Actor input Schema

## `mode` (type: `string`):

protocols=top by TVL; movers=24h gainers/losers; chains=chain TVL; yields=top APY pools; watch=your protocols

## `protocolsList` (type: `array`):

watch: DeFiLlama protocol slugs or names

## `moversKind` (type: `string`):

movers: biggest TVL gainers or losers

## `category` (type: `string`):

protocols: filter by category (Dexes, Lending, Liquid Staking, CEX...)

## `chain` (type: `string`):

Filter to a chain (ethereum, solana, arbitrum...)

## `minTvl` (type: `number`):

Min TVL USD — filters dust protocols

## `stablecoinOnly` (type: `boolean`):

yields: only stablecoin pools (lower IL risk)

## `limit` (type: `integer`):

Max rows per feed

## Actor input object example

```json
{
  "mode": "protocols",
  "protocolsList": [
    "aave",
    "lido",
    "uniswap"
  ],
  "moversKind": "gainers",
  "minTvl": 1000000,
  "stablecoinOnly": false,
  "limit": 100
}
```

# Actor output Schema

# 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("brick_joey_yto/defillama-monitor").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("brick_joey_yto/defillama-monitor").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 brick_joey_yto/defillama-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,brick_joey_yto/defillama-monitor"
        }
    }
}
```

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/nHdaKCFFMNnopRfDr/builds/dp7jt8lS6UtXZ8yHb/openapi.json