This is probably the final one of a short series of posts which attempt to document the Sincerity Lab functionality. It will make more sense if you read part 1 and part 2 first. To get started in using

The following is the second in a short series of posts which attempt to document the Sincerity Lab functionality. This will make more sense if you read the first installment before this one. To get started

The Sincerity API is intended to provide data (and meta-data) about the active accounts of the Steem blockchain to 3rd-party developers. The Sincerity Lab is a data analysis tool for the data stored and

I've added the ability to highlight certain interesting data points in the scatter graphs. Now you can do things like see where you sit in the data distributions (the red points): Or see who of the people

Having a look at the fantastic ( you can also see and follow @steemreports account to know more about), there is an amazing service on which you can consult many useful variables of the steem blockchain

@transisto suggested it would make it more convenient to use SteemReports if you could enter a Steem account name only once, and then have a list of links to take you to the different reports more quickly.

I've been trying to work out how to fund the Sincerity project, and had an idea... I'm offering a paid service where you buy tokens to analyse the active Steem accounts data using a convenient browser

Sincerity Project Update I have been collecting some extra information over the last couple of weeks, and have now changed the Sincerity API to make this data available to 3rd party developers. The database

I have added a few extra Sincerity API methods, and accordingly also make them available to end-users through SteemReports. Biggest Commenters Shows which accounts have made the most comments in the most

Sincerity Project Update Over the last week I've been integrating some of the data from the SteemPlus crowdsourcing process to expand the amount of training data I can use to teach the machine learning

Tumultuous Days in Cuddle-Land Should cuddle-bots be considered as spam?! @andybets has recently launched his new spam-detection API that aims to classify steemit accounts as either spammers, humans or

Steem Sincerity API membantu menunjukkan akun-akun penyebar spam (pesan sampah) di Steemit. Peringatan bagi para steemian. Melawan Spammer Spam atau pesan sampah makin sering menyambangi artikel-artikel

Thanks to everyone for the support and feedback on the Sincerity (anti-spam) API. Community Response The community has broadly welcomed this project, but there are also those who feel that the early

@stoodkev is the developer of the impressive SteemPlus Chrome browser extension, and seeing the potential benefits of the Sincerity project, he and @cedricguillas have added classification labelling to

Here is a new page showing various views of the Sincerity API data. This is mainly reporting about spam and account classification, but there is also a report showing which Steem apps and clients are currently

Here's a user friendly view of the Sincerity API's Biggest Spammers list. It focuses mostly on comment spam and the list is autoupdated with the accounts with maximum spammer scores, and sorted by the

Steem Sincerity is a project I post about under my @andybets account. It is an API service to try and help solve some of the spam problems on Steem. One of its API functions allows you to query up to 100

Steem Sincerity is a project aimed at helping to address the spam problem we have on Steem. As I explained in my introductory post there are three aspects to this. This post discusses the most important

What is this software? This is a simple extension for the Chrome browser which allows users to filter accounts which are considered to be spamming and to see more info about any account. It uses an

Steem Sincerity This project will attempt to help the community address the spam problem by aiming to introduce the following: A fast API which provides detailed classification information about any Steem