MetricsDAO Bounty Breakdown

MetricsDAO Bounty Breakdown

What constitutes an easy vs. medium vs. hard vs. elite bounty question.

The key to a successful bounty round is flagging ahead of time the level of difficulty of each Challenge. This not only allows analysts to know which question to tackle, but it also allows for varying payment amounts based on question difficulty. Below we outline the details of what constitutes an easy vs. medium vs. hard vs. elite bounty question.

Easy Bounty

  • Analysis:

    • Bounty question should ask 1-2 questions
    • Questions should be answerable by looking at data from 1 or utmost 2 tables, providing hints if possible like example transactions or table names.
    • Shouldn’t involve parsing json or going to through events json.
    • While this might not be possible for more mature Protocols like Terra that already have 100+ questions asked, effort can be made to make the question easy and or the data more accessible if need be.
    • Easy should allow for bounty hunters going past the minimum ask and show flair with any additional insights they can generate. This will allow grand prize submissions to stand out from the minimum.
  • Example:

    • THORChain: 4. [Easy] Total volume swapped by pool and over time
      • "Show the swap volume over time, broken down by each pool on THORChain.
    • Terra 15. [Easy] Governance
      • "In the past 30 days, what is the distribution of addresses to voting power? How many smaller voting power addresses are voting vs. larger voting power addresses? Please include your definition of larger vs. small.
      • Tip: Voting Power = Staked LUNA balance at time of vote"

Medium Bounty

  • Analysis:

    • Bounty question should ask 1-3 questions
    • Questions should be answerable by looking at data from 1 or utmost 2 tables, might require joining data from various tables, providing hints if possible like sample transactions.
    • Involves parsing json or going to through events data and looking for contracts needed
    • This level requires a bit more digging and perhaps an insight that you see from the data.
  • Example:

    • Terra 8. [Easy] Whale Spotting "Who are the top Terra whales and what do they do on Terra?
      • Your answer should include a description of your definition of a whale, as well as addresses for the whales you’ve identified, and at least 3 different types of transactions / interactions they are performing (ex. staking, swapping). "
    • Terra 95. [Galactic Punks] Traders & Collectors
      • How many unique GP holders are there, currently? Of these holders, what is the breakdown on the number of punks they have? Who are our frequent traders?? Define frequency if your own words. (bonus - include rarities!)
    • AAVE 7. [Easy] ETH Interest
      • What has the ETH interest rate been on Aave over the past 6 months? Also show the total supply of ETH in Aave over this time period as well. Is there any correlation between these two metrics? Why do you think this may be?

Hard Bounty

  • Analysis:

    • Bounty questions should ask 3+ questions which are possibly related and maybe build on each other, or perhaps build on an easy bounty.
    • Questions are open ended and not straightforward to answer just by looking at the tables, you might need to read up on a concept or find contracts digging through transactions.
    • Involves finding correlations between the data and answering questions like what did x do after they did y, that involves looking at different components of a protocol and not just a few tables where you just have to write queries.
  • Example:

    • Stader 4. [Hard] User Journey and Outflows
      • Show the number of users leaving the Stader ecosystem everyday (those that haven’t made a transaction in over a month and have no liquidity provided). Where are those users going?
    • ENS 14. [Hard] Revenue Distribution
      • How much revenue has been generated from ENS name registrations since the airdrop? How much revenue has been generated from ENS name renewals since the airdrop? Create at least one visual depicting the relationship between these two revenue streams. How do you expect this dynamic to change over the next two years.
    • Algorand 4. Governance Period 1 Breakdown
      • "- For governance period one, what was the voting breakdown?
        • How did this change by the size of the algo wallet?
        • How does this change by number of algos committed?

Elite Bounty

  • Analysis:

    • These are the highest level and rightly by the name anything goes.
    • Might involve going through Protocol Documentation to find answers and then devising your answer joining various tidbits and pieces of information scattered around in various tables
    • Mostly involves parsing and decoding events.
    • Coming up with unique insights that could actually involve some deep diving and protocol understanding.
    • Might even require a polished dashboard if need be.
  • Example:

    • AAVE 5. [Elite] Aave Arc Analysis
      • "Aave is releasing an product soon named Aave Arc ( with which institutions can have access to private liquidity pools that have strict Know Your Customer (KYC) requirements for all participants so that institutions can successfully adhere with regulations while being able to engage with DeFi.
      • This seems like the first of many initiatives that will focus on TradFi integration with DeFi and we wanted to ask: what do you think?
      • What do you think about this initiative? What do you think the future of institutional integration with DeFi will be?
      • Provide an analysis of these questions and give your thoughts using data, precedent (have there been initiatives like this before? how did they pan out? are there certain features that work well and others that don’t?), and your intution (you all are crypto natives and have your own thoughts, after all!).
      • Note: We would love for this to ideally read like a research piece/content bounty, but do whatever you think works the best to present your findings!"
    • Terra 103. [Elite] From Terra, With Love
      • "Chart the volume of UST being sent to other chains from Terra using Wormhole. Which chains have seen the most volume of UST sent since the Columbus 5 upgrade? How many unique wallets have sent UST to another chain? What is the growth rate? What is the average amount of UST sent per transaction to each chain? Are there any patterns behind UST being sent to Solana using Wormhole?