In the midst of your YouTube viewing the past few weeks. Like myself, you might have been lucky enough to finally get a break from all the Ethereum giveaway ads and get something new for a change. This week we found a new project making it’s sponsored ad rounds and had to take a deeper look. Catching my interest and already showing signs of a quality project, this week we’ll be looking at Parsiq.
Introduction
Parsiq is the new next-gen monitoring and intelligence platform created for use in many Blockchains. With Parsiq, users gain access to many useful product features like tracking assets in real-time, being notified about occurrences around a specific blockchain network, processing on-chain data, and combining it with off-chain data. In this system, there are two primary functional groups of business use cases. “Parsiq monitoring” which allows building complex and customizable monitoring solutions in an easy to use format and “Parsiq protect”. A crypto alarm for your portfolio built on top of the Parsiq ecosystem. With blockchain transactions happening in near real-time, and transactions pushed through as soon as each block is confirmed. Not all platforms provide a means of monitoring these transactions, especially for offline wallets or those managed on platforms that do not provide instant notifications. With Parsiq’s automation systems, these alerts can provide the much needed information about transactions as they happen. This alert can even be configurable to detect blockchain activity as early as the mempool level, meaning users can get alerted of upcoming transactions even before they are confirmed on the blockchain. Parsiq users can also be alerted by mobile notification about any market data, risk data, and security events like a hack or unauthorized outgoing transactions from your address.
Native to the system is it’s own language called ParsiQL. ParsiQL is a domain-specific language which serves the main purpose of manipulating the data “Stream”, and the core concept behind ParsiQL. A new user “Stream” is created and built on top of a “Source Stream” in two categories of streams. The first is a “Native Stream” that consists of produced native events like transfers, calls and logs. The second is a “User Stream” that can be formed from a native one or from other users streams. By default, the user stream is delivered as-is through all smart-trigger delivery channels. Applied transformations can change the shape of the output event, amount, or data they contain. New user stream is formed by applying many transformations to the source stream. With stream context available inside each of the three transformations to allow event property access. Of these transformations are (filters) that drop any events from the source stream that do not meet the condition and can be chained together. The transformation (map) is a kind of transformation that is applied to each event of a source stream and produces a completely new event that can be of other types or contain new data. The most complex of these transformations is the main (process) block that opens up possibilities for applying more complex logic. In ParsiQL, process block is different from other transformations, as it can provide advanced language elements and allow producing more advanced streams like child streams.
Features that lie at the core…
Hi! My name is Lark Davis!
I’m a cryptocurrency investor with years of experience and I’ve been making consistent profits in the crypto space.
I’m passionate about helping others do the same, so I run multiple educational channels on crypto investing.
