Sentiment Analysis API for Crypto Traders.

CryptoMood API provides vast amounts of data and fundamental analysis of the crypto market. You can use the API for your personal or business use or access data through CryptoMood Terminal with your current API subscription. Optimize your trading strategy, perform brilliant research or enhance your own analytics with CryptoMood.

What’s in the package?

News Sentiment
Through the API, clients can access data from 50,000 credible sources of different ranking and market impact. Our system targets the precise information that affects the particular crypto-assets that interest you.
Social Sentiment
We process Twitter, Telegram, Reddit, Github, Youtube, as well as exchange chat groups and search trends. CryptoMood detects 500,000,000 tweets every day, on average, 45 million of them are detected to be crypto-related. After intelligent filtering, our AI deals with around 25,000 of them on a daily basis.
Historical Data
We can provide API users with up to 2 years of data. You can retrospectively analyse the market impact of different events in the crypto-industry on the assets that you track.
Blockchain transactions
You can track wallet-exchange transactions on 6 blockchains thanks to build-in WhaleTrace component
AI that learns
We constantly improve and update our algorithms to provide this data as quickly and accurately as feasibly possible. You can be sure that this is the most accurate sentiment data available on the market.

How can you use the
API data?

case-study-1

You can connect the API to your trading bot to optimise your trading strategy. Alternatively, you can opt to conduct independent research on price movement, prediction, accuracy, and specified models, including fundamental analysis. The detailed instructions are here.

CryptoMood’s data can be passed to your data analysts and interpreted in order to combine different models and make custom made analytics for your users.

Have a look at IntoTheBlock Use case

PRICING

You can use all CryptoMood products with limited functionality absolutely free. To get more perks, please check the pricing of the API for individual and Business usage. We offer different models based on your needs if just you or your company wants to get the highest quality data through our API.

Free
Historical data
1 month
Frequency of data*
Daily
Indicators
Social & News Sentiment
API calls
60 per minute
Cryptos
ETH, BCH, LTC
Business Support
N/A
Data reselling
No
Monthly fee (monthly billing)
FREE
Annual payment (Save 20%)
FREE
Individual
Historical data
3 months
Frequency of data*
Hourly
Indicators
Social/News/Github
API calls
120 per minute
Cryptos
Top 10
Business Support
N/A
Data reselling
No
Monthly fee (monthly billing)
$ 39.90 / month
Annual payment (Save 20%)
$ 383.00
Historical data
Unlimited
Frequency of data*
Minutely
Indicators
Social/News/Github/
Trender/Specials
API calls
240 per minute
Cryptos
Top 20
Business Support
Priority email / chat
Data reselling
No
Monthly fee (monthly billing)
$ 249.50 / month
Annual payment (Save 20%)
$ 2,395.00
Business
Historical data
Unlimited
Frequency of data*
Minutely
Indicators
All indicators
API calls
Unlimited
Cryptos
All
Business Support
Priority email / chat
Data reselling
Yes
Monthly fee (monthly billing)
On request
Annual payment (Save 20%)
On request
Free Individual Premium Business
Historical data 1 month 3 months Unlimited Unlimited
Frequency of data* Daily Hourly Minutely Minutely
Indicators Social & News
Sentiment
Social/News/
Github
Social/News/Github/
Trender/Specials
All indicators
API calls 60 per minute 120 per minute 240 per minute Unlimited
Cryptos ETH, BCH, LTC Top 10 Top 20 All
Business Support N/A N/A Priority email / chat Priority email / chat
Data reselling No No No Yes
Monthly fee
(monthly billing)
FREE $ 39.90 / month $ 249.50 / month On request
Annual payment
Save 20%
FREE $ 383.00 $ 2,395.00 On request
Start Start Start Request
*The maximum available frequency of data right now is 3 months

Technology

CryptoMood’s core is Inspired by the architecture of Google and Netflix, where, like ourselves, technologies are developed in-house. CryptoMood’s NLP and NLU engine (LangProc) is unique, it’s the one of its kind in the market. The methods CryptoMood uses to aggregate, group, and rank market data is the result of many years of research and cooperation with two European Universities and senior professionals in AI, Machine Learning, and Natural Language Processing.

Our API is powered by a lightning-fast language analytics engine. Everything that can be tracked on the internet, and is labelled, can be processed by CryptoMood’s technology. Similar technologies are being used in the advertising industry (AI targeting), sports betting industry, and political science.

Why are particular posts negative or positive?

Example 1: Positive tweet from an influencer

The algorithm detects the mention of the new technology and infrastructure development update. As well as that, it takes into account the social weight of the influencer in the community based on how many followers they have and comments they receive. Overall, positive sentiment is given.

positive-feed

Example 2: Negative article

In this example, the fear is multiplied by the credibility of the source, which is calculated from page ranking and other parameters like the number of the related comments in the article.

negative-article

Speed

Speed

Our Data Mining Engine processing time ranges from 1 to 100 milliseconds, depending on the length and weight. After about 1 second, the item gets to the data pipeline to be analysed, filtered, and then distributed to the client. [data acquisition] -> [processing] -> distribution = max 1 second

speed

Intelligent evaluation of the source

The data scraped by CryptoMood’s Mining Engine goes to LangProc distribution pipe, where it is split into: Base, Author, Content, Publication date, Sentiment, Sentiment, Market impact, Multidimensional Sentiment, Locations, Headline.

We use our built-in-house sentiment scoring technology with VADER (Valence Aware Dictionary and sentiment Reasoner) method to measure whether the text is positive or negative. Our technology is also known as ‘Opinion Mining’, a method used to analyse conversations, opinions, and viewpoints (all in the form of tweets) in order to understand business strategy, political analysis, and to assess public actions.

Once it is analysed, the text in its entirety is given a sentiment score. The way we measure sentiment is CryptoMood’s secret sauce, but basically the score is a result of the sentiment multiplied by the impact. A detailed description of the scraping process can be found in the API documentation.

Content cleared from noise and spam

Content cleared from noise and spam

We use statistical methods to detect if the piece of content is spam or not. It is based on text and language analysis, language, and source rank. The most innovative aspect of our spam detection filter in social media is the usage of social graphs - the system that analyses what position a certain person holds in the community. Spammers profiles usually have no value, so CryptoMood easily filters them out from a decent newsfeed.

antispam

Get an API access or ask us anything about CryptoMood product