Investigating - Our company has developed several more machine learning based Saas platforms and we will post status updates on their APIs here as well.
We are adding below a few more information on API endpoints.
Website categorization API This service provides website categorizations using IAB and Ecommerce taxonomies. A typical use case would be within ad industry, where a company may want to categorize millions of websites in order to properly match publishers of content with advertisers. The idea is that an industrial company selling engine oil may not want to advertise its products on a fashion blog.
Here enters the website categorization where an industrial advertiser can select only those publishers with content that is also industrial or related one.
Reverse IP Lookup API Reverse IP lookup API helps you find all the domains that are on a given IP address. The sharing of IP addresses most commonly happens because several domains are hosted on the same server. The hosting companies can usually host even several hundred domains on the same server. The other reason for this may be due to the fact that many domains are behind services like Cloudflare, which means that they are also on the same IP.
OCR API OCR is one of the more used machine learning models in companies, because almost all of the companies are at various points of their internal processes interested in converting documents and images to a digital format. Why? Because digital forms of documents can then be further processed and/or analyzed by other services.
There are many companies where the one of the first digitalization drives is to convert all of their printed documents into a digital format. This is often combined with data science projects, which then analyte these data and documents.
We have recently launched an OCR API service which you can access here: https://ocrapi.io
Jun 27, 2022 - 12:32 UTC
Investigating - We will be shortly adding new endpoints to our API.
The first new API endpoint is based on social media posts of those authors that are either investors / traders / hedge funds / other professional investors. After collecting tweets of these authors we compute sentiment using SVM machine learning model and number of mentions for them.
We provide this data on the hourly basis, in form of Investor Sentiment Index and Investor Social Buzz Index. They give background information on opinions of investor community.
The other API endpoint is based on the segmentation of authors, based on the number of followers that they have.
These influencer indices are computed by segmenting social media tweets depending on the number of followers of the author, we distinguish between 3 group of authors:
small following social media users - those that have less than 100 followers medium following social media users - those between 100 and 1000 followers large following social media users - those with more than 1000 followers We then compute average sentiment and number of mentions from social media posts of each group of users, resulting in three sets of indices, shown in charts below.
Jan 07, 2022 - 10:17 UTC
Investigating - BittsAnalytics will be making a regular maintenance of the database during the next hour. The data inventory will not be accessible for up to two hours due to a scheduled truncation of certain social media posts tables and deletion of hourly historical data in our tables that store pricing on hourly.
We apologize for any inconvenience this may have caused.