- Old: every app spins up subgraphs, custom oracles, ETL, bridges, then fights latency and trust - New: @AbstractChain becomes the modular data execution layer clean, verifiable, app-ready streams that other chains consume
Why this matters: - AI agents fetch → compute → push results on-chain in one pipeline, no brittle cross-chain plumbing - L2s subscribe to data-as-a-service like APIs instead of bespoke indexers - Builders ship faster, users get synchronous UX across rollups
I tested agent outputs flowing into a contract and the difference is night and day: less infra, more determinism
If rollups are the compute layer, Abstract is the data layer that unifies them. Agree or disagree?
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Old way vs new way for on-chain data
- Old: every app spins up subgraphs, custom oracles, ETL, bridges, then fights latency and trust
- New: @AbstractChain becomes the modular data execution layer clean, verifiable, app-ready streams that other chains consume
Why this matters:
- AI agents fetch → compute → push results on-chain in one pipeline, no brittle cross-chain plumbing
- L2s subscribe to data-as-a-service like APIs instead of bespoke indexers
- Builders ship faster, users get synchronous UX across rollups
I tested agent outputs flowing into a contract and the difference is night and day: less infra, more determinism
If rollups are the compute layer, Abstract is the data layer that unifies them. Agree or disagree?
#AI #DataLayer #L2 #Ethereum