Data analytics are critical to understanding the functioning of the system. We currently have two external analytics dashboards:

• DefiLlama
• BlockAnalitica

There’s areas where we’d love to have more granularity and have it open for all to better understand Spark.

• User behaviour

  • How many are there? Are there any new ones?
  • Where are they coming from? What other protocols are they in?
  • What is the breakdown/distribution?
  • Is it possible to categorise them?
  • How many users supply without borrowing? How many users
  • How many users use an automation tool? (DefiSaver, Instadapp)
  • Where do users come from? Competing money market platforms, CEXs, new to the space?

• Tooling

  • Build a google app script that wraps standard RPC calls so Google Sheet users can retrieve on-chain data without anything else apart from gSheet functions (and an RPC provider).

Feel free to use any stack that you prefer, we have a couple of ideas of what’s most interesting nowadays:

• The Graph’s subgraphs
• Dune Analytics’ Spellbook

Contact Tadeo (DevRel)