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Description

Token Metrics operates as a research and data firm focused on the cryptocurrency sector. By integrating the knowledge of our investment professionals, data analysts, and software engineers, we have developed a robust platform that utilizes artificial intelligence and machine learning to provide detailed research and analysis at an institutional level for more than 6,000 digital assets. Our team comprises top analysts, developers, and traders from prestigious institutions such as Goldman Sachs, JP Morgan, Morgan Stanley, and IBM, all contributing to the development of our evaluation systems for cryptocurrencies. Each of the 6,000 cryptocurrencies in our database is examined through the lens of over 70 data points gathered from various sources, allowing us to generate objective, data-driven assessments regarding both their short-term and long-term profitability. By rigorously testing millions of predictive models, we produce well-vetted crypto ratings that are designed to enhance investment returns, ultimately guiding our users toward more informed financial decisions in the dynamic world of cryptocurrency. Furthermore, our continuous research efforts enable us to stay ahead of market trends, ensuring that our evaluations remain relevant and actionable.

Description

Token Terminal serves as a comprehensive platform that consolidates financial information regarding prominent blockchains and decentralized applications. We assert that both blockchains and decentralized applications share fundamental similarities with traditional marketplace enterprises. These entities are inherently digital businesses that generate revenue, which is then distributed among their supply-side participants, such as liquidity providers or miners, and their owners, the tokenholders. Just like conventional companies are managed by their shareholders, these blockchain projects are governed by their tokenholders. This perspective drives our goal to assess and analyze blockchains and dapps using financial key performance indicators (KPIs) while addressing the common misconception that cryptocurrencies are solely about currency transactions. As the landscape of blockchains and dapps continues to expand, their value can increasingly be determined through metrics of usage and cash flow, highlighting the need for a more nuanced understanding of their financial implications. Ultimately, this approach allows for a clearer appreciation of the economic potential these digital ecosystems hold.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Autofarm No 
Axis LMS Yes 
BNB Smart Chain (BSC) No 
Clipper DEX No 
Fantom No 
Filecoin No 
NEAR No 
Nexus Mutual No 
Notional No 
OpenSea No 
Optimism No 
Polygon No 
QuickSwap No 
Ren No 
Tezos No 
Tokenlon No 
Venus No 
Vesper Finance No 
Yearn No 
dYdX No 

Integrations

Autofarm Yes 
Axis LMS No 
BNB Smart Chain (BSC) Yes 
Clipper DEX Yes 
Fantom Yes 
Filecoin Yes 
NEAR Yes 
Nexus Mutual Yes 
Notional Yes 
OpenSea Yes 
Optimism Yes 
Polygon Yes 
QuickSwap Yes 
Ren Yes 
Tezos Yes 
Tokenlon Yes 
Venus Yes 
Vesper Finance Yes 
Yearn Yes 
dYdX Yes 

Pricing Details

$29.99 per month
Free Trial No 
Free Version No 

Pricing Details

€325 per month
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Token Metrics

Country

United States

Website

tokenmetrics.com

Vendor Details

Company Name

Token Terminal

Website

www.tokenterminal.com

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