This is a proposal for RFP - Abitrum Short-Term Incentive Program (STIP) Data Monitoring and Reporting
In the section “Grant/Protocol Data and Impact Analysis” of grant request, there are the following items to track:
- Ecosystem Metrics
- Fees Generated
- Sector Analysis
- Yield Aggregators
These are all metrics that we’ve been tracking at DefiLlama, where we’ve provided tracking for DeFi projects on arbitrum ever since Arbitrum launched.
Given that we already track all these, I believe we are uniquely positioned to deliver on that request, as we already have a good track record on it and we can deliver it immediately, without requiring other teams to (likely) replicate the work that we have already done.
Another major advantage to our proposal is that we maintain our data and we have a track record of doing so for years. This is important because other engagements seem to have a fixed duration, so there’s a chance that, after the engagement ends, data will become stale and won’t be kept up to date, eventually losing most of its use as protocols upgrade. We’re constantly updating protocol adapters to match their latest updates, so we believe this risk is much lower in our case and instead data will be useful for much longer.
We already have all this built, so delivery will be immediate.
Our proposal is does not aim to deliver on all the objectives of the original request (such as writing reports for the arbitrum DAO), but instead just a subset of them, which is reporting DeFi metrics such as fees, TVL, volume, users… so effectively this is a subset of the first objective outlined in request
Total funding requested: 100,000 USD in ARB at either spot price or a TWAP chosen by those that will distribute it.
We’ve been providing DeFi data on arbitrum ever since it’s launch and we’ve also been delivering other products to help this ecosystem specifically, like our ARB claimer page, which allowed lots of users to claim their ARB on launch day, when the official page was down.
By having delivered the product already, this removes all execution risk, and furthermore, by having all our code in the open, it’s easy for everyone to verify all our data and methodologies.
Finally, our data have been used previously in many ecosystems such as Polygon or Kava to guide incentives, which attests to it’s quality.