7Block Labs on Secure Oracle Integration for DeFi Platforms

In the fast-paced world of DeFi (Decentralized Finance), making sure our data feeds are secure is absolutely crucial. This is where 7Block Labs comes into play! They really focus on integrating oracles to make sure that external data sources are both accurate and reliable. Alright, let’s take a closer look at what they’re up to and why it’s important.

What Are Oracles?

Think of oracles as the connection between blockchain technology and the real world. They really help bring that outside data into the blockchain space. They help DeFi platforms tap into external data--things like price feeds, weather updates, and even sports scores--so these platforms can run smoothly and efficiently.

The Importance of Security

When it comes to DeFi, you really can’t take chances with data integrity. If an oracle gets compromised, it could really hit users hard, leading to some serious losses. That's exactly why 7Block Labs puts a big focus on making sure oracle integration is super secure. They make sure that the data they use comes from reliable sources and is kept safe from any tampering.

How 7Block Labs Does It

1. Thorough Verification: They really dig in and don’t just accept the data as it is. We make sure to double-check every bit of information by looking at different sources. If anything feels a little off, we’ll flag it for a closer look.

2. Decentralization: They’ve got this cool setup with a decentralized network of oracles, which really helps minimize the chances of running into a single point of failure. It’s a smart way to keep things running smoothly! So, even if one oracle gets hacked or goes down, the whole system stays solid and keeps running smoothly.

3. Strong Encryption: They’ve got all data sent through their oracles locked down with encryption, which means your sensitive info is kept safe and sound.

4. Regular Audits: They make sure to have their smart contracts and oracle operations checked out by third-party experts pretty often. This way, they can spot any potential issues before they turn into real headaches.

Why It Matters for DeFi

There’s a ton of cash moving around in different DeFi platforms right now, which means the stakes are pretty high! A solid oracle integration doesn't just keep users safe; it also builds trust in the whole system. It's all about creating trust in a decentralized world where transparency and security work together seamlessly.

If you're curious about 7Block Labs and all the cool stuff they're doing, why not swing by their official website? You can find it here: 7Block Labs. You'll get the scoop on their innovative solutions and everything else they've got going on!

Conclusion

Secure oracle integration is totally transforming the DeFi scene, and 7Block Labs is all in on making data integrity a key focus. By putting a spotlight on security measures, they're really setting the stage for a DeFi environment that's more reliable and trustworthy. It's all about building that confidence, right? Make sure to stay updated on what they're doing because they're really paving the way for the future of finance!

You’re Shipping with Oracle Debt You Can’t See Yet

When you're diving into lending and derivatives, how spot-on your reasoning is really depends on the price at settlement. Just a single quick bad tick or an old L2 read can really stir up trouble, potentially leading to things like unrecoverable bad debt or even forced liquidations. It’s wild how quickly things can go south!

Check this out: on November 4, 2025, Moonwell was busy figuring out the wrsETH/USD by cranking the numbers with two Chainlink feeds. Pretty cool, right? So, there was this hiccup with the pricing of wrsETH/ETH--it was off by about 1%. So, it's 65 million ETH for each wrsETH, which comes to roughly $5. 8B) that let someone borrow millions with basically no money down. 02 wrsETH. Later on, the team shared that they were looking at about $3. We ended up with $7 million in bad debt, and that forced us to hit the brakes on the markets for a bit. Hey, if you're curious about the details, just hop over here. It’s all laid out for you!

Sturdy Finance ran into some issues recently, losing about 442 ETH after their price oracle got messed with. It seems like a flash liquidity attack combined with read-only reentrancy was to blame. It's a tough break for them! This really highlights how DEX-focused oracles without proper safety measures can be easily taken advantage of. If you're curious to learn more about it, just check it out here. It's worth a look!

Let’s be real for a minute--builders know that push-based oracles can sometimes lag, especially when things get a bit rocky in the market. So, on-chain TWAPs do a pretty good job of smoothing out the noisy stuff, but they're not foolproof. They can definitely be manipulated, especially if the timeframes are short or there isn't a lot of liquidity. Also, when L2 sequencers crash, those feeds can get outdated pretty fast. Meanwhile, the smart players just keep on trading using L1 portals like it's no big deal. If you want to dive deeper into this topic, just take a look at the documentation here. It’s got all the details you’ll need!

the risk compounds into missed milestones and burned TVL

Ever since Dencun rolled out, the whole scene around MEV and latency on those speedy Layer 2s has definitely kicked into high gear. Lately, it seems like spam-arb and duplicate submissions are popping up everywhere. It’s really putting a strain on those unsuspecting price-read paths. When you throw all that launch-week craziness together with low liquidity and super quick block times, it's like you've created a perfect storm. (arxiv.org).

• Leaning on those TWAP comfort blankets just isn't gonna fly anymore. According to Uniswap’s tips, if you want to make a 30-minute TWAP really impactful, you’ve gotta keep those per-block tick changes on a tight leash. They recommend capping it at around 9,116 ticks max. That way, you can create a more noticeable shift! If you’re not careful, those two-block “push-then-backrun” patterns could create some pretty obvious prints that others can take advantage of. (blog.uniswap.org).

Hey there! Just a quick heads-up about the L2 sequencer outages. While you can still tap into protocols via L1 queues, keep in mind that your oracle data might start to go stale. To avoid that, make sure to set up a Sequencer Uptime Feed and use grace periods to keep things running smoothly. Stay sharp! A few teams decided to dive into Optimism, Arbitrum, and BASE without having that safeguard in place, and they've definitely felt the consequences. It’s a tough way to learn, but sometimes that’s how it goes in this space! (docs.chain.link).

Oh, and let's not overlook those added challenges that pop up with cross-chain delivery. Okay, so here’s the deal: when it comes to Pyth/Wormhole updates, you’ve got the whole process of signature verification and figuring out the order of messages to deal with. And let’s not forget about calculating fees for those on-demand pulls! If you’re not careful and don’t stick to the “update-before-read” rule, you might find yourself in a tricky situation where you’re technically valid, but the information is outdated. It’s definitely something to keep an eye on! (docs.pyth.network).

7Block’s Methodology: Secure, Low-Latency, Gas-Optimized Oracle Integration that Ships

At 7Block, we’ve got this awesome multi-layer setup that’s packed with built-in protections. It’s all tailored to match your specific AMM, derivatives, and lending model, plus the different chains you’re juggling. It's not just a matter of picking the "best oracle." It’s really about figuring out how to mix and match those data feeds, deciding when it makes sense to shell out for data, and dealing with any oddities that come up along the way.

Phase 1 -- Architecture and Threat Model (1-2 weeks)

• Decide whether to go with pull or push for each route:
• For those latency-sensitive perps and options: Check out Chainlink Data Streams! They’re designed to be super quick with pulls in under a second, plus they use a commit-and-reveal method to help steer clear of any frontrunning issues. Take a look at the details here.
• Lending and RWA settlement: Feel free to utilize Pyth pull feeds, but don’t forget to keep an eye on those confidence intervals. It’s a good idea to use an Exponential Moving Average (EMA) to help maintain some stability. Oh, and be sure to update things before you read--that’s key! If you’re looking for more information, you can check it out here.
• Governance and Rare Events: Have you considered UMA OOv3? It combines optimistic assertions with dispute windows, making it a great way to handle various truths--like settlements and bridge events. If you want to dive deeper into that, you can check it out here. If you're looking to mix things up a bit, think about taking advantage of RedStone’s modular push/pull system. It can really help you diversify your sources and cover those long-tail asset gaps. And when it feels right, don’t hesitate to tap into restaked security using RedStone AVS (EigenLayer). It’s a smart way to fortify your setup! Get the scoop here.
• How models can trip up in different situations: Alright, here's the plan: Let’s dive into the L2 sequencer downtime and grace windows. We need to figure out what thresholds we should set for staleness and deviation for each asset. And, while we’re at it, let’s incorporate "confidence-aware" liquidation math for Pyth. Basically, the idea is that the more confident we are, the lower the loan-to-value (LTV) ratio can be. If you're looking for more info, you can find it here.
• What’s manipulation cost? First off, take a look at the TWAP window length, the maximum tick delta, and pool depth. You'll want to run some simulations to see what might go down if validators were to try and mess with blocks during manipulation attempts. Take a look at the insights right here. You might find some really interesting stuff!

Phase 2 -- Reference Implementation (2-4 weeks) with Gas and MEV Safeguards

• Hard Guards in Solidity:

So, let’s dive into hard guards in Solidity. These are basically the safety nets that help protect your smart contracts from unwanted actions or attacks. Think of them as the security measures you put in place to keep everything running smoothly and securely.

When you're coding, you want to make sure that only the right people can do the right things, right? That’s where hard guards come in. They help ensure that your contract behaves as you expect it to, which is super important, especially when dealing with real assets or sensitive data.

Whether you’re preventing unauthorized access or just making sure that functions can only be called under certain conditions, hard guards are an essential part of writing robust Solidity code. It’s all about keeping your projects safe while you focus on building amazing things!

• Let’s set up Sequencer Uptime gating on OP, ARB, and BASE. This way, we can have a little grace period before we start accepting prices again after any recovery. This really helps avoid those frustrating stale-liquidation situations.
• Make sure to check for any staleness or deviations in all your feeds. If you have multiple sources to consider, try using a “median-of-n” method or a weighted median for better accuracy.
• When you're doing a Pyth pull, remember to ask for the update payload and only cough up the update fee once the update is actually carried out. If the data seems a bit outdated, just go ahead and use getPriceNoOlderThan() to refresh it. If you're working with Data Streams, a great way to minimize the chance of frontrunning down at the execution layer is to use the commit-and-reveal transaction pattern. It’s a solid technique that can really help keep things secure. Feel free to take a look at the details here!

Example: L2 Sequencer + Staleness Guard Pattern

If you’re looking to boost your system’s performance, mixing an L2 sequencer with a staleness guard pattern can really make a difference. Trust me, it’s a game changer! Let me give you a quick overview of what each of these components does and how they can team up effectively:

L2 Sequencer

The L2 sequencer is like the traffic cop for transactions at the Layer 2 level. It keeps everything in line and makes sure things flow smoothly and efficiently. Think of it like a traffic cop for transactions, ensuring everything flows smoothly and in the right order without any bumps along the way.

Staleness Guard Pattern

The staleness guard pattern is a clever way to keep your data fresh and up-to-date. It helps you stay on top of your data, making sure you’re not stuck using old info. By using this pattern, you’ll be able to spot and deal with stale data pretty effortlessly. This way, you can make sure your system always has the freshest info at hand.

How They Work Together

When you mix the L2 sequencer with the staleness guard pattern, you’ll end up with:

• Better Data Integrity: We make sure that transactions are processed in the right order, keeping everything fresh and up to date.
• Boosted Performance: The sequencer really picks up the pace, and with the staleness guard in place, you won't have to worry about getting bogged down by outdated information.
• Scalability: As your app expands, this combo lets you scale up easily while keeping performance and accuracy in check. It's pretty handy!

Conclusion

Basically, if you combine an L2 sequencer with a staleness guard pattern, your systems can really stand to gain a lot. You really get the best of both worlds here! You’ve got smooth transaction management along with up-to-date data to dive into. Pretty sweet deal, right? If you're trying to level up your game, you should definitely think about this combo!

pragma solidity ^0.8.20;
import "@chainlink/contracts/src/v0.8/shared/interfaces/AggregatorV2V3Interface.sol";

contract PricedAction {
  AggregatorV2V3Interface public immutable priceFeed;           // e.g., ETH/USD
  AggregatorV2V3Interface public immutable sequencerUptimeFeed; // per-network
  uint256 public constant GRACE_PERIOD = 1 hours;
  uint256 public immutable maxAge; // e.g., 60s

  error SequencerDown();
  error GracePeriodNotOver();
  error StalePrice();

  constructor(address _price, address _uptime, uint256 _maxAge) {
    priceFeed = AggregatorV2V3Interface(_price);
    sequencerUptimeFeed = AggregatorV2V3Interface(_uptime);
    maxAge = _maxAge;
  }

  function guardedPrice() public view returns (int256 answer, uint256 ts) {
    (, int256 status,, uint256 startedAt,) = sequencerUptimeFeed.latestRoundData();
    if (status == 1) revert SequencerDown();
    if (block.timestamp - startedAt <= GRACE_PERIOD) revert GracePeriodNotOver();

    (uint80 id, int256 a,, uint256 updatedAt, uint80 answeredInRound) = priceFeed.latestRoundData();
    if (answeredInRound < id || block.timestamp - updatedAt > maxAge) revert StalePrice();
    return (a, updatedAt);
  }
}

This really matches what Chainlink has been saying about Sequencer Uptime Feeds! It’s a great way to avoid those stale prices when outages happen. Take a look at the details right here: (docs.chain.link). You might find it pretty helpful!

Let's take a quick peek at how to use the Pyth pull-oracle update-before-read feature!

What is it?

This feature makes sure you're always getting the latest prices from Pyth's oracle. It refreshes the data just before you check it out, so you won’t have to stress about running into outdated info.

How to Use It

Whenever you're set to grab the latest price, just go ahead and use the update-before-read function. It's pretty straightforward! Here's a simple example:.

# Update the price before reading it
price = pyth.pull_oracle.update_before_read(oracle_address)
print(f"The latest price is {price}")

Why is it Important?

By using the update-before-read method, you can be sure that what you're looking at is reliable and up-to-date. In the ever-changing world of crypto and finance, staying on top of the latest data can really give you an edge. If you're looking to make smart choices, then this feature is definitely something you don't want to miss out on!

Additional Resources

If you're curious about how pulling data from Pyth works and want to learn more, definitely take a look at their official documentation. It’s a great resource! It’s packed with helpful information that can really help you get the most out of their oracle service.

Summary

• Feature: Pyth pull-oracle getting an update before reading.
• Function: It refreshes the oracle data just before you check it out, making sure you get the most accurate info possible.
• Example Code:

  price = pyth.pull_oracle.update_before_read(oracle_address)

• Want to dig deeper? Check out the Pyth Documentation for all the details!

And that's a wrap! Happy coding, everyone!

import "pyth-sdk-solidity/IPyth.sol";
import "pyth-sdk-solidity/PythStructs.sol";

contract PythConsumer {
  IPyth public immutable pyth;
  bytes32 public immutable ethUsdId;
  uint256 public immutable maxAge; // e.g., 30s

  constructor(address _pyth, bytes32 _id, uint256 _maxAge) {
    pyth = IPyth(_pyth);
    ethUsdId = _id;
    maxAge = _maxAge;
  }

  function execWithFreshPrice(bytes[] calldata priceUpdate) external payable {
    // Pay the minimal fee and update on-chain state atomically
    uint256 fee = pyth.getUpdateFee(priceUpdate);
    require(msg.value >= fee, "fee");
    pyth.updatePriceFeeds{value: fee}(priceUpdate);

    PythStructs.Price memory p = pyth.getPriceNoOlderThan(ethUsdId, uint64(maxAge));
    // use p.price and (optionally) p.conf for confidence-aware logic
  }
}

Pyth requires you to step in and manually update or revert values if the on-chain data is older than the freshness window you’ve set. If you're trying to create a strategy that’s a bit more cautious and aware of risks, consider using confidence intervals along with exponential moving averages (EMA). So, if you want to boost your LTV, you can use this handy formula: 1/(1+conf). It's pretty straightforward! Just plug in your confidence level, and you’ll see how it all works out. If you want to dive deeper into the details, take a look at the Pyth documentation. It's got all the info you need!

Example: Median-of-N with Deviation Guard

We can pull in data from different sources, like Chainlink push, Pyth pull, and RedStone pull, to set up a median-of-N strategy. It’s a great way to make sure we’re getting a well-rounded view of the information! Here’s how it works:.

1. Gather Info: First off, grab price data from a bunch of different sources. For instance:.

• Chainlink Push: This cool service keeps you updated with the latest prices right in your inbox!
• Pyth Pull: This is where you ask for prices at specific times and get them in return.
• RedStone Pull: Think of it like Pyth, but it really emphasizes being super reliable and quick.

2. Find the Median: After gathering your data, go ahead and calculate the median. This is the middle value of your sorted data set. It helps to filter out any outliers and gives you a more stable price.

3. Add the Deviation Guard: If you want to boost accuracy, it’s a good idea to include a deviation guard. So, what you'll do is check the prices you've gathered against the median. If any of them are way off--beyond a certain limit--you'll toss those out.

4. Final Price: Once you’ve filtered things out, you'll have a nice, tidy set of data that gives you a solid final price to rely on.

Let me give you a quick visual to help make sense of things:

With this approach, you're not putting all your eggs in one basket. Instead, you're making sure that the price you end up with is solid and less likely to get swayed by any sudden changes from a single supplier. Just a quick reminder: when you've got a solid strategy in place, you're way more likely to make better decisions!

function median(int256[] memory xs) internal pure returns (int256) { /* sort & return */ }

function safePrice(int256[] memory candidates, uint256 maxBpsDeviation) internal pure returns (int256) {
  int256 m = median(candidates);
  for (uint256 i = 0; i < candidates.length; i++) {
    int256 d = candidates[i] > m ? candidates[i] - m : m - candidates[i];
    if (uint256((d * 10000) / m) > maxBpsDeviation) revert("DeviationTooHigh");
  }
  return m;
}

This helps avoid problems with single-feed issues, like the wrsETH mispricing, and makes sure everything is in sync before allowing any larger borrow amounts to go through. If you want to dive deeper into the details, feel free to check it out here.

• Boosting TWAP for on-chain backups:
• Let's roll out those truncated updates and put a cap on how much the tick can change per block. For instance, we could set a limit of 9,116 for ETH/USDC. So, if you're looking to move a 30-minute TWAP by 20%, you'll need to execute more than 30 controlled blocks. That’s quite a challenge to pull off, especially unless you've got a solid concentration of validators backing you up. (blog.uniswap.org).

Phase 3 -- Verification, Chaos Tests, and Audit Support (2-3 Weeks)

• Manipulation Sims: Alright, let’s dive into backtesting your pools with a technique called “two-block manipulation.” We’ll also take a look at the flash-loan depth and throw in some sequence stress tests on L2. Sound good? We're also going to spice things up with some sequencer-down chaos tests. We'll run protocol interactions through L1 queues to really check that the grace logic is working as it should. Just a little extra measure to keep everything in line! For more details, just click here. You'll find everything you need!
• Integration Tests for Pull Oracles: It's time to check out the Pyth Hermes payload verification and make sure those Wormhole VAA signatures are solid across your chains. Hey, just a quick reminder--make sure you confirm those fees and gas paths while you’re at it! If you need more details, you can check it out here. Happy digging!
• UMA Disputes: First things first, you’ll want to figure out the liveness and bond sizes for your dispute windows. After that, set up those wire callbacks. And don’t forget to run a few end-to-end dispute drills to make sure everything’s working smoothly! If you want to dive deeper into this topic, just check it out here.

Phase 4 -- Production SRE Playbook + OEV Recapture (Ongoing)

• Keeping an Eye Out: We're watching a few important alerts, like staleness, sequencer down, confidence widening, cross-source deviation, and those annoying “abnormal tick” alerts.
• OEV Recapture with API3: We're excited to share that we’re incorporating OEV auction flows whenever it makes sense--especially in those lucrative situations like liquidations. It’s all about making the most of what’s out there! With this approach, your protocol can grab that oracle extractable value instead of allowing those external searchers to snatch it up. Hey, just wanted to give you a quick heads up! The OEV Network has been busy upgrading its infrastructure. We're on top of things! We're putting the best practices into action with our awesome search partners, just like the Api3 docs suggest. Take a look at this: (blog.api3.org). You'll definitely want to see what's going on!

Prove -- what “good” looks like in 2026 (and why it matters to Procurement and GTM)

Performance at scale:

• Chainlink Data Streams is designed to provide super quick, pull-based price reports. These reports get verified on-chain and use neat commit-and-reveal strategies to help minimize risks. This means it can easily manage high-throughput perpetual contracts, like what you’d see with GMX v2 on Arbitrum or Avalanche, which are pulling in tens of billions in volume. Pretty impressive, right? So, this is the low-latency layer that your users are really going to feel. Take a look at this link: docs.chain.link. You might find it interesting! Pyth's mission is to provide real-time price updates with confidence and EMA. Thanks to on-demand updates from more than 25 to 40 different chains, all verified by Wormhole-attested Merkle roots, you can count on Hermes APIs to serve up the latest info right when you need it. This means you’ll enjoy lower gas fees and always have the freshest prices at your fingertips! If you want to dive deeper, check out this link: docs.pyth.network. You'll find more info waiting for you!

Risk controls the board will ask about:

So, you might be wondering, “What if the L2 sequencer goes down?” No need to stress! Luckily, you’ve got those grace windows linked up with Chainlink’s Sequencer Uptime Feed for ARB, OP, and BASE. It’s all set up to keep things running smoothly! This setup helps ensure that positions stay safe from getting liquidated because of old data. If you're curious to dive deeper into this topic, feel free to check it out here: docs.chain.link. Happy reading! So, how do we dodge that annoying single bad print? Well, the trick is in medianizing data from various sources, keeping those wild deviations in check, and when it comes to Pyth, we tackle those broad confidence levels by trimming down the LTV. It really all comes down to your risk parameters! "Why even mess with TWAP?" Well, think of it as your backup plan. It’s like having a safety net when you really need it. Sure, it’s not something you want to use all the time, but it’s got some pretty decent economic features--like those limited per-block ticks and longer timeframes. So, instead of treating it like your main go-to oracle for liquid collateral, keep it in your back pocket for when you really need it. Dive deeper here: (blog.uniswap.org).

MEV and fair execution:

Designs that pull data instead of constantly pushing it around really help save on ongoing costs. Plus, they link the data directly to the actions being taken, which reduces the likelihood of making poor choices due to adverse selection. On top of that, commit-and-reveal methods are great for reducing the risks of frontrunning. All these tweaks really help improve the execution quality for the end users, and that's a key performance indicator (KPI) that you can easily share with them. Learn more here: (docs.chain.link).

Cross-chain growth without fragility:

Pyth’s cross-chain model makes it super easy to kick off new runtimes. With Wormhole-approved updates and Hermes distribution, you’re all set to go in no time! The ecosystem is pumping out around 1. Every day, there are around 9 million updates coming in from a variety of chains. This really helps to lower your "oracle availability" risks as you branch out and grow. If you want to learn more, just check out this link: wormhole.com. Happy exploring!

Implementation Blueprint -- What We Deliver, Concretely

• Oracle Integration Package (Mix of Solidity and Scripts): We have source adapters for a whole bunch of cool stuff! You can find everything from Chainlink Data Streams verifiers and Chainlink push feeds to Pyth EVM with Hermes updaters. Plus, we’ve got RedStone on-demand adapters and UMA OOv3 asserter hooks. It’s a pretty impressive lineup! Our medianization library comes packed with some great features, like deviation caps, confidence-aware math, and a TWAP fallback--just to make sure everything runs smoothly and reliably.
• Plus, there's a sequencer uptime guard and a chain registry that looks after ARB, OP, BASE, zkSync, and Mantle.
• DevOps Playbook: We've got monitors and alerts in place for all sorts of things--like when data gets stale, when confidence levels start to widen, if there's any divergence between sources, and those pesky missed heartbeats. On top of that, we've got these canary flows set up to put a halt to borrowing or liquidations if any of the safeguards go off.
• Gas Optimization Pass (Super Important for DeFi): We really dive into a few key areas like storage packing for feed setups, using immutable addresses, and arithmetic that’s based around libraries. Plus, we also look at this cool “update-then-exec” approach for pull oracles. This really helps us avoid those annoying updates that we don't need.
• Documentation and Audits: We've put together a threat model and some test matrices for the third-party auditors. To stay on track, we carry out chaos tests to see how sequencer downtime and those pesky two-block manipulations hold up.
• Procurement Outcomes: You'll have a great selection of trusted vendors that strike a nice balance between licensing, on-chain costs, and availability in different regions. So, you won't have to stress about being stuck with just one provider! When it comes to early-stage market perpetuals and options, we're pretty much all about using Data Streams. But for more extensive collateralized lending and real-world assets, we have a soft spot for Pyth pull, especially when it’s backed by some confidence-aware logic along with a secondary source. For things like governance and insurance, we usually rely on UMA. When it comes to bridging asset gaps or adding some extra security with red-team redundancy, we turn to RedStone.

1) Lending on Base with LST/LRT Collateral (stETH, weETH, rsETH)

• Main Source: We're taking a look at the Pyth EMA price and checking out its confidence level too.
• Secondary Source: Up next is the Chainlink exchange-rate feed.
• Fallback Plan: Just in case we need it, we've set up a limited Uniswap v3 TWAP for those deeper pools.
• Sequencer Guard: This one’s all set up for Base!
• Liquidation Discounts: You’ll see these increase when confidence starts to spread out a bit more.
• Borrow Caps: These automatically go down when there's a price divergence. (blog.chain.link).
• Why It’s Safe: This approach avoids the common pitfall of the wrsETH method, where people just multiply two feeds without really thinking it through. Instead, it incorporates some clever deviation checks and takes a more thoughtful look at the loan-to-value (LTV) ratio based on confidence levels. Pretty smart, right? Also, it helps us avoid stale data when there are any hiccups with the Base sequencer. (forum.moonwell.fi).

1. Check out perps on Arbitrum with super quick pricing! Sure thing! So, to break it down: Our main focus is on using Chainlink Data Streams, which involves a verifier contract and the commit-and-reveal method. On the side, we're also looking at Pyth spot prices along with some confidence metrics to help us with circuit-breaking. We've set up automation to ensure everything runs smoothly and fairly. Plus, we've added some cancel-on-revert safe paths to avoid any nasty surprises from adverse selection. Take a look at it over at docs.chain.link. You might find some cool stuff there!

3) Cross-chain settlement/gov execution:

Hey, you should definitely take a look at UMA OOv3! It’s pretty cool because it allows you to make optimistic claims about off-chain votes. Imagine it as a secure way to execute Snapshots, but in the oSnap style. Give it a try! It really helps to validate those bridge events, keeping an eye on liveness, and it tweaks bond sizes depending on how much risk your treasury is facing. (blog.uma.xyz).

Operational Guardrails -- The Must-Haves

• Make sure to keep track of price usage according to: So, we’re looking to keep an eye on a few things: the status of the L2 sequencer, the grace period, the staleness window, and then there’s the max single-block deviation. Don't forget about the cross-source deviation cap and those "confidence widening" thresholds that tend to come up now and then. (docs.chain.link).

Hey, just a quick tip: steer clear of multiplying two feeds unless you've got a really solid anomaly policy set up. That means you should have things like sanity ranges, maybe double-checking things with a third source, or even using an on-chain TWAP bound. It’s all about keeping things reliable!

Hey, just a quick tip about TWAP fallbacks: be sure to set your parameters in a way that makes it tough for anyone to mess with them. Think about using longer time windows and keeping those per-block tick changes on a tighter leash. This way, you can help keep things more stable and secure! Make sure to focus on narrow surfaces, like shutdown conditions, if you want the best outcomes. (blog.uniswap.org).

• When it comes to pull models, aim to only pay for updates when it’s truly needed. This approach not only helps you save on gas but also keeps things feeling fresh. Batch actions let you update and use your data all in one go. It's super efficient!

When it comes to OEV, if you're counting on making some cash from liquidation, consider setting things up to take advantage of oracle extractable value (like Api3 OEV) whenever it feels right. Make sure to stay updated on the transitional infrastructure, and don’t hesitate to reach out to our partnered searchers for support while everything's still figuring itself out on the public front. (docs.api3.org).

Why 7Block Labs

We're all about bringing together engineering with a great return on investment. Our team takes care of everything from beginning to end! We’re diving into things like Solidity integrations, quick off-chain components, risk math, and we even have on-call runbooks ready to go. It’s all in a day's work for us! We also team up with procurement to keep everything running smoothly. We’ve got a straightforward vendor matrix in place, which helps us manage our infrastructure spending predictably, plus we always have audit materials ready to go.

• So, here’s what we can actually do: We can help you set up protocols and oracles within our custom blockchain development services. If you're interested, check out more details here!
• We’ll help you create DeFi protocols from start to finish and get them listed with our awesome DeFi development services.
• Test out how well oracles and liquidations hold up under pressure with our security audit services. We’ve got you covered with cross-chain price routing and bridge verification through our cross-chain solutions development and blockchain bridge development services. Whether you need to connect different blockchains or ensure safe and efficient transactions, we’re here to help! You’ll be diving into building complete full-stack dApp workflows, setting up admin controls, and creating risk dashboards. You can check out our awesome dApp development and smart contract development services to see how we can help bring your ideas to life! You can easily connect with your existing legacy systems and handle custody using KMS/HSM by checking out our blockchain integration service.

Emerging Best Practices We're Rolling Out (So You Can Skip the Learning Curve on Mainnet)

We're really excited to explore some cutting-edge stuff like low-latency pull plus commit-and-reveal for perpetual contracts. We're also looking at confidence-aware risk for lending, which is made possible by Pyth--pretty cool, right? On top of that, we’re incorporating optimistic assertions from UMA for some solid, discrete truths. And let’s not forget about modular redundancy, thanks to RedStone, which helps with asset coverage and those crucial restaked security backstops. It’s all coming together and we can't wait to see how it unfolds! If you're curious and want to dive deeper into this topic, feel free to take a look here. It’s packed with info that you might find really interesting!

Rather than juggling a DIY approach to multiply exchange rates for LST and LRT assets, we've got a smarter and safer plan in place for when the markets pause or during off-hours. This is especially important for tokenized real-world asset products. You can check out all the details right over here.

We’re making sure everything stays secure by implementing tough L2 sequencer checks on both the OP-stack and ARB. Plus, we’ve set up automated grace periods that allow us to hit the brakes on liquidations and borrowing whenever there are outages. If you want to learn more, just check out the details here. Happy exploring!

We're rolling out some bounded-TWAP fallbacks, and we've done a thorough economic analysis to understand the costs of any potential manipulation. Go ahead and run a few Monte Carlo simulations to double-check those validator-share assumptions with the pools you're actually using. Get the scoop here.

• Oh, and be sure to check out the OEV recapture paths for liquidations! They’re a great way to get back some value that would otherwise end up in the hands of searchers, but only when they’re supported. Don't overlook it! If you’re curious to dive deeper into this, you can check it out here.

Appendix -- Citations for Specific Mechanisms and Numbers

• Chainlink Data Streams: So, here’s the scoop! We’ve got this pull-based system in action that updates in almost real-time--think sub-second updates. Plus, there’s a cool commit-and-reveal process happening. On top of that, GMX v2 is launching on both Arbitrum and Avalanche, and it’s kicking things off with a solid lineup of 24 different token markets right from the get-go. Exciting times ahead! (docs.chain.link).
• Pyth: They rely on confidence intervals and exponential moving averages (EMA) with a pull model that refreshes before you actually take a look. Also, you've got cross-chain delivery, thanks to Wormhole and Hermes working together. Pretty cool, right? (docs.pyth.network).
• Uniswap v3: There’s some pretty cool stuff happening with TWAP manipulation economics. They’re really working on tightening things up with those tick bounds! (blog.uniswap.org).
• L2 Sequencer: Take a look at the Uptime Feeds and see how they deal with outages on ARB, OP, and BASE. (docs.chain.link).
• UMA OOv3: This version focuses on optimistic assertions paired with dispute windows. Plus, they’ve introduced an oSnap dispute flow to help manage everything smoothly. (docs.uma.xyz).
• RedStone: I’ve gotta say, these modular oracles are really impressive! They come with some neat push/pull models and have AVS restaked security, which just adds to their appeal. (blog.redstone.finance).
• Moonwell: Hey, check out the wrsETH situation! They’ve put together a detailed postmortem over in the forum if you're interested. (forum.moonwell.fi).
• Sturdy Finance: They've put together a solid overview of read-only reentrancy and price manipulation that you really shouldn’t miss. It's definitely worth a look! (okx.com).

If you want to make sure everything gets integrated smoothly and right from the get-go, here’s what we’ve got lined up for you:

We're putting together a really robust oracle layer that's been tested pretty rigorously. Plus, we're throwing in some solid chaos tests and a comprehensive runbook to go with it. Your SREs will be all set to tackle real incidents head-on, which will definitely help in cutting down on failed-liquidation losses and easing the support strain. It's all about making things smoother and more efficient! What's the next step for DeFi ICP? How about we set up a call to assess the risks of DeFi Oracles?

Internal Links Referenced Above:

Hey there! If you’re interested in diving into the world of web3, take a moment to explore our web3 development services. We’d love to help you kick things off! If you're in the market for some awesome custom blockchain development services, you’re in the right place! We've got everything you need. Hey, make sure you check out our security audit services! They’re a great way to ensure your project stays secure and protected. Hey there! Looking for some help with blockchain integration? We’ve got your back! 😊 Hey there! If you're considering fundraising, I’d love to talk about some strategies that could really work for you. Let’s connect! Hey there! If you're looking to connect different networks without a hitch, check out our blockchain bridge development services. We're here to make the process smooth and easy for you! Hey, if you're looking to boost interoperability, definitely take a look at our cross-chain solutions development. It's a great way to connect different chains and make everything work together smoothly!

• Jump into dApp development and create something amazing! You’ve got this! Check out our awesome DeFi development services and be a part of the decentralized finance movement!
• Curious about DEX development services? We’ve got you covered!
• Ready to bring your ideas to life? Check out our smart contract development services! We’re here to help you every step of the way.
• We create custom asset management platforms that fit your specific needs perfectly. Check out the amazing possibilities of asset tokenization with our expert guidance! If you're looking to kickstart your project, our token development services are just what you need. We're here to help you bring your ideas to life! Jump into the excitement with our TON blockchain development services! Check it out here. We're ready to help you make your mark!
• Looking to have some fun? Dive into our blockchain game development options and let’s get creative together! Create a buzzing community with our NFT marketplace development. Join us and let's bring your vision to life! Hey there! If you’re looking to turn your creative ideas into reality, check out our NFT development services. We’ve got you covered! Don’t let your amazing concepts go to waste--let’s make something awesome together!