All About Pyth
summary
Pyth explains a pull‑based oracle stack: use Hermes + the Solidity SDK to fetch updates, then call an on‑chain update before getPriceNoOlderThan; that workflow is mandatory for hackathon bounties. Claims: 125 publishers and ~1,500 feeds across 100+ chains, price latency ~400 ms, future target ~1 ms. Entropy uses commit‑and‑reveal randomness with request + callback, an Entropy Explorer for debugging, and Entropy v2 with customizable gas limits.
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chapters (23)
- 0:00Start
- 0:10Introduction & disclaimer
- 0:37Overview of Pyth tracks: Price Feeds & Entropy
- 1:06How Pyth’s price feed architecture differs from other oracles
- 2:16Push-based vs. Pull-based models explained
- 4:05Pull-based on-demand pricing and Hermes integration
- 5:13How to integrate Pyth price feeds
- 6:27Getting price feed IDs and contract addresses
- 7:56Supported chains and asset classes
- 9:03Using Hermes via REST, SDK, or WebSockets
- 10:30Updating vs. getting prices; avoiding stale data
- 11:44Smart contract example: updatePrice → getPriceNoOlderThan
- 12:52Unsafe methods and bounty disqualification warnings
- 13:45Developer Q&A: integration types, off-chain eligibility, latency
- 17:12Intro to Entropy — secure randomness for smart contracts
- 17:57How commit-and-reveal randomness works
- 20:10Advantages over VRF and permissionless access
- 21:21Implementing Entropy in EVM contracts (request + callback)
- 23:15Using the Entropy Explorer for debugging
- 24:23Gas limits, Entropy v2, and requestV2 upgrades
- 25:42Handling callback failures and retrying
- 26:37Dev forum for support & Q&A
- 27:20Workshop close and resource sharing
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