API
Access Token Terminal's metrics, projects, and financial data through 25+ endpoints.

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25+ endpoints,
one integration

Access metrics, projects, financial statements, and market sectors through a clean REST API.

200 OK•309 ms•535.2 KB
Headers 14Info
1{
2 "data": [
3 {
4 "timestamp": "2024-10-21T00:00:00.000Z",
5 "project_name": "Base",
6 "project_id": "base",
7 "afpu": 0.06455671653448596,
8 "arpu": 0.06455671653448596,
9 "fees": 107315.92228781925,
10 "revenue": 107315.92228781925,
11 "earnings": 106651.32039611327,
12 "expenses": 664.601891705989,
13 "user_dau": 1662351,
14 }
15 ]
16}

Build custom metric combinations

Combine metrics programmatically to create custom ratios and indicators for your models.

1import os
2import requests
3
4def get_custom_ratio(project_id):
5 url = f"https://api.tokenterminal.com/v2/projects/{project_id}/metrics"
6
7 headers = {
8 "accept": "application/json",
9 "authorization": f"Bearer {os.environ.get('TOKEN_TERMINAL_API_KEY')}"
10 }
11
12 response = requests.get(url, headers=headers)
13
14 if response.status_code == 200:
15 data = response.json()
16
17 for metric in data:
18 if metric['metric'] == 'daus':
19 daus = metric['value']
20 elif metric['metric'] == 'fees':

Integrate into notebooks and pipelines

Works with Python, JavaScript, or any language. Built for Jupyter notebooks and production systems.

{x}
[1]
df = pd.DataFrame(data)
fees_by_project = df.groupby('project_name')['value'].sum()
top_projects = fees_by_project.sort_values(by='value', ascending...
Top 10 Projects by Fees from September to November 2024:
project_namevalue
61Ethereum1.936796e+10
32Bitcoin4.110616e+09
191Uniswap3.682764e+09
188Tron2.889465e+09
126OpenSea2.566551e+09
101Lido Finance1.888454e+09
66Filecoin1.683659e+09

By the numbers

20+
API Endpoints
250k
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2+ PB
Data Warehouse
99.9%
Uptime

"Token Terminal is the essential input to our real-time investing model. It's like building PE-grade models with streaming POS data."

John McNiff

John McNiff

Co-founder at Theia

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