Data

L2Beat shows “onchain value” - the sum of bridges and natively minted assets in a chain.

DeFiLlama shows DeFi TVL

L2Beat - DeFiLlama = assets in wallets

Can we create views/metrics that give us more granular segmentation in to “what onchain value is doing?” (I.e. how much in CEXs, bridges, actually idle)?

These two dashboards might be relevant to this bytelight

data @ op labs, building @optimism 🔴✨ | go /gators 🐊  | casts are my own things | msilb7.com

These two dashboards might be relevant to this bytelight

https://dune.com/blockintel/l2-inflows-and-outflows

https://dune.com/blockintel/cex-inflows-and-outflows

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I think Michael wants specific metrics, not just tracking. So how given a token, how could you segment it by contracts/bridging/CEX, etc etc to get more meaningful analysis of it.

headmaster @duneanalytics, previously mirror and consensys

Yeah I meant like “what’s a more granular breakdown of what onchain value is doing.”

I suspect that a lot of L1->L2 flows are just CEX/3P Bridge rebalancing as an example.

if we just take bridging, to- and from- Optimism, large txns tend to be diff wrappers of ETH or USDC or a bridge token (stg):

if we just take bridging, to- and from- Optimism, large txns tend to be diff wrappers of ETH or USDC or a bridge token (stg): https://defillama.com/bridges/Optimism

Moving data 
@Exponent_cx
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 @paulapivat on twtr

what if we query addr that bridged over to Optimism using @msilb7 `standard_bridge_flow` table, then find that those bridgers also had `quest_completions`, all within a timeframe (Dec, 2022 - Jan, 2023):

what if we query addr that bridged over to Optimism using @msilb7 `standard_bridge_flow` table, then find that those bridgers also had `quest_completions`, all within a timeframe (Dec, 2022 - Jan, 2023): 

https://dune.com/queries/3573479

What/where are they going after bridging though 🤔