Kyber Network

Agenci AI zmieniają sposób, w jaki użytkownicy wchodzą w interakcje z DeFi. Najlepsi agenci handlowi nie tylko analizują rynki. Muszą również posiadać praktyczne umiejętności, które pomagają w wycenie, budowaniu, realizacji, monitorowaniu i optymalizacji transakcji w sposób bezpieczny.
Agenci AI stają się jednym z najważniejszych interfejsów do handlu onchain. Zamiast ręcznie sprawdzać ceny, porównywać trasy, otwierać wiele dAppów i przełączać się między portfelami, użytkownicy mogą opisać, co chcą, w języku naturalnym i pozwolić agentowi AI przygotować workflow.
Jednak agent AI jest użyteczny tylko wtedy, gdy ma odpowiednie umiejętności.

Agenci AI szybko przekształcają się z prostych asystentów czatu w systemy napędzane działaniami. W kryptowalutach i DeFi oznacza to, że agenci nie tylko tłumaczą dane rynkowe. Mogą pomóc użytkownikom znaleźć okazje do handlu, porównywać trasy, budować transakcje, tworzyć zlecenia limitowane i zarządzać pozycjami płynnościowymi.
Ale aby agent AI mógł handlować bezpiecznie i efektywnie, potrzebuje odpowiedniej warstwy API.
API handlowe dla agenta AI różni się od normalnego API giełdowego. Normalne API może tylko zwracać ceny tokenów lub pozwalać na zlecenia kupna i sprzedaży. API handlowe AI musi wspierać rozumowanie, trasowanie, budowanie transakcji, symulację i wykonanie kontrolowane przez użytkownika.

Pule płynności to jeden z podstawowych elementów zdecentralizowanych finansów. Napędzają zamiany tokenów, automatyczne maker'y rynku, możliwości zysku i wiele innych aplikacji DeFi, udostępniając aktywa kryptograficzne w smart kontraktach.
Pula płynności to zbiór tokenów kryptograficznych zablokowanych w smart kontrakcie. Te tokeny są dostarczane przez użytkowników zwanych dostawcami płynności, czyli LPs. W zamian LPs mogą zarabiać część opłat transakcyjnych, zachęt lub innych nagród w zależności od protokołu.
W tradycyjnych rynkach, transakcje często opierają się na książce zleceń. Kupujący składają oferty, sprzedający składają zapytania, a transakcja ma miejsce, gdy obie strony zgadzają się co do ceny. DeFi działa inaczej w wielu przypadkach. Zamiast czekać, aż ktoś weźmie drugą stronę transakcji, użytkownicy mogą handlować bezpośrednio przeciwko puli płynności.

MEV, or Maximal Extractable Value, is one of the most important concepts in DeFi because it affects how onchain transactions are ordered, executed and settled.
What Is MEV in Simple Terms?
MEV is the value that can be captured by controlling the order of onchain transactions.
Imagine a blockchain block as a list of transactions waiting to be finalized. If someone can choose which transactions go first, which go later and which get included at all, they may be able to create profit opportunities.
In DeFi, this often happens because trading activity is transparent. Pending transactions can reveal useful information before they settle. For example, a large swap may show that a token price is about to move in a certain pool. Searchers, bots and other market participants can react to that information before the transaction is confirmed.
MEV is not only done by validators. In practice, many MEV opportunities are found by independent searchers who scan blockchain data, detect profitable opportunities and submit transactions or bundles designed to capture that value. Validators may still receive part of the value because searchers often pay higher fees to increase the chance that their transactions are included.
Why Does MEV Exist?
MEV exists because blockchains are transparent, transaction ordering matters and block space is limited.
On public blockchains, pending transactions are often visible before they are confirmed. This creates an information advantage for anyone who can monitor the transaction queue quickly. If a bot detects a profitable opportunity, it can submit a competing transaction with higher fees or package transactions in a specific order.
The problem becomes more visible in DeFi because token prices, liquidity pools, lending markets and arbitrage opportunities are all connected. A single swap can change the price in an AMM pool. A price movement can create an arbitrage opportunity. A market crash can trigger liquidations. All of these events can become MEV opportunities.
Not all MEV is bad. Some MEV helps markets function better by correcting price differences between exchanges or liquidating unhealthy loans. The issue is that harmful MEV can extract value from normal users, especially through front-running and sandwich attacks.
Common Types of MEV
1. DEX Arbitrage
DEX arbitrage happens when the same token trades at different prices across different liquidity pools or exchanges. A searcher can buy the token where it is cheaper and sell it where it is more expensive in a single transaction.
This type of MEV can help align prices across markets. If ETH is cheaper on one DEX than another, arbitrage can bring those prices closer together. In this sense, arbitrage can improve market efficiency.
However, it is still highly competitive. Searchers compete to find the opportunity first and may pay high fees to get their transaction included.
2. Liquidations
Liquidations are another common source of MEV. In lending protocols, borrowers must maintain enough collateral to support their loans. If the value of their collateral falls too far, the position can become eligible for liquidation.
Searchers monitor lending protocols for unhealthy positions. When a position becomes liquidatable, they compete to submit the liquidation transaction first and earn a reward. This can help lending markets stay solvent, but it also creates intense competition for transaction ordering.
3. Front-Running
Front-running happens when someone sees a pending transaction and places their own transaction before it to benefit from the expected price movement.
For example, if a bot sees a large buy order waiting to be confirmed, it may buy the token first. When the large order pushes the price up, the bot benefits from being earlier in the block.
This is harmful for users because it can worsen execution. The user may receive fewer tokens than expected because the price moved before their transaction settled.
4. Sandwich Attacks
A sandwich attack is one of the most harmful and well-known forms of MEV for DeFi traders.
In a sandwich attack, an attacker places one transaction before the user’s swap and another transaction after it. The first transaction moves the price against the user. The user’s swap then executes at a worse rate. The attacker’s second transaction closes the position and captures profit.
The user is “sandwiched” between two attacker transactions.
This is especially risky for large swaps, thin liquidity pools and volatile tokens. It is also why setting slippage tolerance too high can be dangerous. A wide slippage range gives more room for the transaction to execute at a worse price.
5. JIT Liquidity
JIT liquidity, or just-in-time liquidity, happens when liquidity is added right before a trade and removed right after the trade. In some cases, this can improve execution by adding temporary liquidity. In other cases, it can create an uneven playing field because liquidity providers with faster systems can capture fees from predictable order flow without taking longer-term liquidity risk.
JIT behavior is often discussed as part of the broader MEV landscape because it depends on transaction timing, ordering and execution conditions.
MEV vs Slippage vs Price Impact
MEV is often confused with slippage and price impact. They are connected, but they are not the same thing.
ConceptWhat it meansMain causeExampleUser impactMEVValue extracted through transaction ordering, inclusion or exclusionBots, searchers, validators or block builders reacting to pending transactionsA sandwich attack around a swapUser receives worse executionSlippageDifference between expected output and actual outputMarket movement between quote and executionToken price changes before the swap settlesUser gets fewer or more tokens than quotedPrice impactThe effect of a trade on the pool priceTrade size relative to available liquidityA large swap moves the AMM curveUser receives a worse average priceGas feesCost paid to execute a transactionNetwork demand and transaction complexityHigher gas during congestionHigher transaction cost
The key difference is that price impact comes from the size of your trade relative to liquidity. Slippage comes from the difference between quote and execution. MEV comes from actors exploiting transaction visibility and ordering.
In real DeFi trading, these risks can overlap. A large trade in a thin pool may have high price impact. The same trade may also be more attractive to MEV bots. If the market moves before confirmation, the user may also experience slippage.
Why MEV Matters for DeFi Users
MEV matters because DeFi execution happens in a competitive public environment.
When users trade onchain, they are not only interacting with a liquidity pool. They are also entering a market where bots, searchers and infrastructure participants compete to extract value from ordering opportunities. This is especially important for swaps because the final output can depend on what happens between quote generation and transaction settlement.
For smaller trades in deep liquidity pools, MEV may not always be noticeable. For larger trades, meme coins, low-liquidity assets and volatile markets, the effect can be much more meaningful.
A trader may see a good quote before confirming a swap, but receive fewer tokens after execution. This can happen because of normal market movement, price impact or MEV activity. The challenge is that users often only see the final result after the transaction has already settled.
How Can Users Reduce MEV Risk?
Users cannot remove MEV completely, but they can reduce exposure by improving how they trade.
One of the most important steps is to avoid setting slippage tolerance too high. High slippage tolerance may help a transaction go through, but it can also create more room for harmful execution. On the other hand, setting slippage too low can cause failed transactions.
Users can also trade through deeper liquidity, split large trades across better routes and avoid thin pools when possible. This is where aggregation becomes valuable. Instead of relying on a single liquidity pool, a DEX aggregator can scan multiple liquidity sources and find more efficient routes.
KyberSwap Aggregator is designed for this problem. It connects fragmented liquidity across DEXs and chains, splitting and rerouting trades through capital-efficient sources to help users access better swap rates. KyberSwap connects to 420+ liquidity sources across 17 chains according to the latest product documentation.
KyberSwap has also surpassed $150B in cumulative DEX aggregator volume, with DeFiLlama showing more than $152B in cumulative DEX aggregator volume at the time of lookup.
How KyberSwap Smart Settlement Helps Improve Execution
A good quote is important, but the final execution outcome matters even more.
Traditional aggregators usually optimize the route before the transaction is submitted. That works well when market conditions remain stable. But in DeFi, conditions can change quickly. Liquidity can move, spreads can widen, another swap can hit the same pool or MEV activity can worsen the originally selected route.
Smart Settlement adds a more adaptive execution layer to KyberSwap Aggregator. When active, it can prepare multiple candidate pools for a swap hop. At execution time, the smart contract compares candidates onchain and selects the pool that gives the highest token output. This happens atomically within the same transaction with no extra user steps.
This matters for MEV because even if the originally selected pool becomes worse due to front-running or sandwich activity, Smart Settlement can detect the worsened rate and switch to a better available candidate. It does not make MEV disappear, but it adds execution-time resilience on top of normal slippage protection.
For users, the benefit is simple: the swap is not only optimized before submission. It can become more adaptive when the transaction actually settles.
Is MEV Always Bad?
MEV is not always bad.
Arbitrage can help align prices across markets. Liquidations can help lending protocols remain solvent. These activities can make DeFi more efficient and stable.
The harmful side of MEV appears when value is extracted directly from users without improving the market experience. Sandwich attacks, toxic front-running and certain forms of order manipulation can make users receive worse execution than expected.
A healthy DeFi ecosystem needs better infrastructure, better routing and better execution protection. MEV will likely remain part of public blockchain markets, but better tools can help reduce the negative impact on everyday users.
FAQ: MEV in DeFi
What does MEV stand for?
MEV stands for Maximal Extractable Value. It refers to the extra value that can be captured by ordering, including or excluding transactions in a blockchain block.
Is MEV the same as front-running?
No. Front-running is one type of MEV, but MEV is broader. MEV also includes arbitrage, liquidations, sandwich attacks and other strategies based on transaction ordering.
What is a sandwich attack?
A sandwich attack happens when an attacker places one transaction before a user’s swap and another transaction after it. The goal is to move the price against the user, let the user execute at a worse rate and then capture the difference.
Can MEV happen on all blockchains?
MEV can happen on many blockchains, especially where transaction ordering creates profit opportunities. The exact mechanics depend on the chain design, mempool structure, validator system and block-building process.
How can I avoid MEV when swapping?
You cannot fully avoid MEV, but you can reduce your risk. Use deep liquidity, avoid unnecessary high slippage, be careful with large trades in thin pools and use aggregators with smarter routing and execution-aware infrastructure.
Does KyberSwap prevent MEV completely?
No tool can remove MEV completely from public blockchain markets. KyberSwap helps improve swap execution through aggregation, route optimization and Smart Settlement, which can compare candidate pools at execution time and select the one with the highest token output when available.
Why does MEV affect slippage?
MEV can worsen slippage when bots move the market before your transaction settles. For example, in a sandwich attack, the attacker intentionally changes the pool price so your swap executes at a worse rate.
Is arbitrage MEV bad?
Not always. Arbitrage can help correct price differences across DEXs and improve market efficiency. The more harmful types of MEV are those that directly extract value from users, such as sandwich attacks and toxic front-running.
Conclusion
MEV is a core part of how DeFi markets work. It comes from the fact that onchain transactions are public, block space is limited and transaction order can create profit opportunities.
Some MEV improves market efficiency. Other forms harm users by worsening execution and extracting value from their swaps. For DeFi traders, the goal is not to pretend MEV does not exist. The goal is to understand it and use better tools to reduce exposure.
KyberSwap Aggregator helps users access deep liquidity across many sources, while Smart Settlement brings execution-time intelligence into the swap process. Together, they help users move beyond simply getting a good quote and toward getting a better final outcome when the trade settles onchain.

Price impact is one of the most important concepts to understand before making a swap on a decentralized exchange. It explains why the price you see before a trade may not equal the average price you receive once the trade is executed.
What Is Price Impact?
Price impact is the difference between the current market price of a token and the average execution price of your trade.
It happens because your trade consumes available liquidity. As you buy more of a token from a liquidity pool, the pool has less of that token available. The price of each additional unit usually becomes more expensive. As you sell more of a token into a pool, the pool receives more of that token and the price usually moves down.
In simple terms:
Price impact = how much your own trade moves the price.
For example, imagine a token is shown at $1.00 before your swap. If your trade is small and the pool has deep liquidity, you may receive an average execution price close to $1.00. But if your trade is large relative to the pool, your average execution price may become $1.03. That 3% difference is the price impact.
Why Price Impact Happens in DeFi
Price impact is common in DeFi because many decentralized exchanges use automated market makers, also known as AMMs.
Unlike a centralized exchange that matches buyers and sellers through an order book, an AMM lets users trade against liquidity pools. These pools hold two or more tokens. Prices are determined by a formula based on the token balance inside the pool.
When you trade against an AMM pool, you change the balance of that pool. If you swap ETH for USDC, you add ETH into the pool and remove USDC from it. Because the pool now has more ETH and less USDC, the relative price changes.
The smaller the pool, the more sensitive it is to each trade. A $10,000 swap may have almost no price impact in a pool with $100 million in liquidity. The same $10,000 swap may create major price impact in a pool with only $50,000 in liquidity.
Price Impact vs Slippage
Price impact and slippage are often confused because both affect your final swap output. However, they are not the same.
Price impact comes from your own trade size relative to available liquidity.
Slippage comes from price movement between quote time and execution time.
Two concepts are separated clearly: slippage happens because of market factors external to the trader, while price impact happens because of trade size relative to available liquidity.
A trade can have both price impact and slippage. For example, a large swap in a low-liquidity pool may already have 4% price impact at quote time. If the pool changes before the transaction settles, the final output may become even worse because of slippage.
Price Impact in AMMs vs Order Books
Price impact behaves differently depending on the trading system.
In an AMM, price impact is usually visible and continuous. Every trade changes the pool balance and moves the price along the curve. This is why AMM price impact can be more noticeable for low-liquidity pairs, volatile tokens and large swaps.
In an order book, traders interact with buy and sell orders at different price levels. A market order can still create price impact if it consumes multiple price levels. However, a limit order can avoid immediate price impact because it only executes at the chosen price or better.
AMM price impact tends to be more pronounced than order book price impact because AMM trades move along a pool price curve. It also explains that limit orders can sidestep conventional price impact when they are executed only at the user’s chosen price.
What Causes High Price Impact?
Several factors can increase price impact.
The first is large trade size. The bigger your swap is compared to pool liquidity, the more it can move the price.
The second is low liquidity. Thin pools do not have enough assets to absorb large trades efficiently. This is common with new tokens, meme coins, long-tail assets and inactive pools.
The third is fragmented liquidity. A token may have liquidity spread across multiple DEXs, pools and chains. If you trade through only one pool, you may miss better liquidity elsewhere.
The fourth is volatile market conditions. When prices move quickly, liquidity can shift and market makers may update quotes. This can make the difference between expected output and final output more noticeable.
The fifth is poor routing. If a trade uses only one liquidity source when better routes exist, the swap may suffer more price impact than necessary.
How to Reduce Price Impact
You cannot remove price impact from every market swap, but you can reduce it.
One way is to trade through deeper liquidity. Larger pools can usually absorb bigger trades with less movement.
Another way is to split large trades. Instead of pushing the full trade through one pool, a route can split the order across multiple pools. This helps avoid putting too much pressure on one liquidity source.
You can also use a DEX aggregator. Aggregators scan multiple liquidity sources and search for more efficient routes. This is especially useful when liquidity is fragmented across different DEXs.
For traders who do not need instant execution, limit orders can also help. A limit order lets you define your preferred price and wait for execution when the market reaches that level.
How KyberSwap Helps Minimize Price Impact
KyberSwap is built to help users receive better swap outcomes by connecting fragmented DeFi liquidity into one trading experience.
KyberSwap Aggregator scans liquidity across decentralized exchanges and chains, then splits and reroutes trades through capital-efficient sources. The Aggregator is connected to over 420+ liquidity sources across 17 chains and KyberSwap solutions have facilitated over $100B in transactions for more than 2.6M users.
This matters for price impact because better routing can reduce dependence on a single pool. Instead of forcing the entire swap through one venue, KyberSwap Aggregator can search across multiple sources and find a route designed to improve output.
KyberSwap Aggregator also integrates different liquidity types, including AMMs, order book liquidity, Limit Orders and Professional Market Makers. By connecting onchain and offchain liquidity sources, KyberSwap can improve access to deeper liquidity and more efficient execution.
For users, this means a simpler swap flow. You enter the token you want to swap, KyberSwap searches for efficient routes and the transaction is executed through the selected path.
For developers, the KyberSwap Aggregator API gives projects a way to integrate best-rate swap routing into wallets, dApps and DeFi products through API access. This helps applications offer better swap execution without building routing infrastructure from scratch.
Price Impact for Liquidity Providers
Price impact is not only important for traders. It also matters for liquidity providers.
When a pool has high price impact, it may signal that liquidity is thin. Thin liquidity can attract trading fees but it can also expose LPs to sharper price movements and more volatile pool balances.
A pool with better liquidity depth can offer traders better execution. Better execution can attract more volume. More volume can increase fee opportunities for liquidity providers.
Why Price Impact Matters
Price impact matters because it affects real trade outcomes.
A low price impact trade usually means the market can absorb your swap efficiently. A high price impact trade means your own order is moving the price against you.
For small trades in deep markets, price impact may be minor. For large trades, new tokens and thin liquidity pools, price impact can become one of the biggest costs of trading.
This is why experienced DeFi traders do not only ask, “What is the token price?” They also ask:
How much will I actually receive after execution?
That question is the key to better onchain trading.
FAQ: Price Impact in DeFi
What is price impact in crypto?
Price impact is the change in a token’s price caused by your own trade. It happens when your swap size is large compared to the available liquidity in the market or pool.
Is price impact the same as slippage?
No. Price impact comes from your trade moving the market. Slippage comes from price changes between the time you receive a quote and the time your transaction executes.
Is high price impact bad?
High price impact usually means you are receiving a worse average execution price. It is not always dangerous but it can make a trade much more expensive than expected.
How much price impact is acceptable?
It depends on the token, trade size and market conditions. For liquid pairs, traders usually expect low price impact. For volatile or low-liquidity tokens, higher price impact may be unavoidable.
How can I reduce price impact?
You can reduce price impact by using deeper liquidity, splitting large trades, using a DEX aggregator or placing a limit order instead of executing an instant market swap.
Why do low-liquidity tokens have higher price impact?
Low-liquidity pools have fewer assets available for trading. When you make a swap, your trade changes the pool balance more aggressively, which moves the price further.
How does KyberSwap help with price impact?
KyberSwap Aggregator scans and routes across multiple liquidity sources to find more efficient swap paths. Smart Settlement adds execution-time pool comparison so trades can adapt when market conditions change before settlement.
Can limit orders avoid price impact?
Limit orders can help avoid conventional market swap price impact because they only execute at your selected price or better. However, execution is not guaranteed because the market must reach your target price.
Final Thoughts
Price impact is one of the core costs of DeFi trading. It shows how much your own trade changes the market price and explains why large swaps can receive worse average prices than expected.
The best way to manage price impact is to understand liquidity. Deeper liquidity, better routing and smarter execution can all help improve the final result.
KyberSwap helps users manage this through KyberSwap Aggregator, which scans and routes across 420+ liquidity sources across 17 chains, and through Smart Settlement, which adds execution-time intelligence to help users receive better swap outcomes.
In DeFi, the best trade is not only the trade with the best quote. It is the trade that gives you the best final output when the transaction settles.

W DeFi, większość użytkowników zna AMM-y, takie jak pulle w stylu Uniswap. Te pule pozwalają każdemu dostarczać płynność i automatycznie umożliwiają traderom wymianę przeciwko tej płynności.
propAMM-y są inne.
Wciąż są to zautomatyzowane market makery, ale część „prop” oznacza własność. Oznacza to, że model wyceny, kontrole ryzyka i strategia płynności są zaprojektowane i zarządzane przez profesjonalnego market makera. Pula może aktywniej aktualizować swoje ceny, zamiast czekać, aż traderzy wpłyną na cenę przez wymiany.

Slippage to jeden z najważniejszych konceptów do zrozumienia podczas handlu krypto na zdecentralizowanych giełdach. Wpływa na to, ile otrzymasz z wymiany, czy twoja transakcja zakończy się sukcesem oraz ile masz kontroli nad ostateczną ceną realizacji.
Co oznacza pojęcie slippage w krypto?
W handlu krypto, slippage odnosi się do różnicy między cytowanym wynikiem wymiany a rzeczywistym wynikiem wymiany po realizacji. Zwykle pojawia się, gdy rynek porusza się szybko, płynność jest niska lub twoja transakcja wymaga czasu na potwierdzenie.

The DeFi swap experience has improved significantly over the years. Aggregators now play a key role in that progress by scanning hundreds of liquidity sources, comparing routes, and helping users find better prices across DEXs. But there is still one major gap in most swap experiences: the price you see at quote time is not always the price you get at execution time.
A route may look optimal when the quote is generated, but that can change before the transaction executes. Liquidity can shift, another trader can move the pool, a PropAMM - professional market maker who can dynamically adjust their pricing, can widen its spread or a volatile token can move within seconds. When that happens, the pool that looked best at quoting may no longer deliver the best output at execution.
This gap matters and Smart Settlement is built to close that gap.
KyberSwap’s Smart Settlement represents a major step forward for EVM onchain routing, bringing real-time execution intelligence into the swap process. It introduces a new direction for EVM swap execution, where routing is not only optimized before submission but can also become smarter at the moment the trade settles.
The Problem with Standard Aggregation
Standard DEX aggregators determine the optimal swap route at quote time - before a transaction is submitted. While this works well under normal conditions, it leaves trades exposed to execution-time risks: liquidity shifts, front-running, and PropAMM operators who quote tight spreads to attract order flow before widening them at execution.
When this happens, the original route may become stale. The user may receive fewer tokens than expected or the transaction may fail if the received amount drops below the slippage limit. This creates a difficult trade-off for users. Set slippage too low and the swap may revert. Set slippage too high and the trade becomes more exposed to poor execution or MEV.
Smart Settlement gives users a better path. Instead of forcing the transaction to always follow the original pool selection, it allows the swap to adapt at execution time.
Smart Settlement: A New Layer of Swap Execution Intelligence
Smart Settlement is an onchain execution layer for KyberSwap Aggregator. KyberSwap’s Dynamic Trade Routing already finds efficient swap routes across liquidity sources at quote time. Smart Settlement extends this by adding real-time pool comparison at the moment of execution.
When Smart Settlement is active, KyberSwap can prepare multiple candidate pools for a swap hop. During execution, the smart contract compares those candidates onchain and selects the pool that gives the highest token output. This happens atomically within the same transaction, with no additional steps required from the user.
You still swap the same way. The difference is that the transaction is now more adaptive. It can react when the originally selected pool no longer offers the best outcome.
The Result: Better Swap Output With Lower Slippage
A better quote is useful, but a better execution outcome is what actually matters. The best swap experience is not only about showing a good number before the trade. It is about helping users receive the best possible output when the transaction settles.
More Tokens Received
At execution time, Smart Settlement compares candidate pools and selects the one that maximizes token output. If the originally selected pool remains the best option, the swap continues through it. If another candidate pool becomes better by the time the transaction executes, Smart Settlement can switch to that pool instead. This helps users receive more tokens compared to a static execution path.
Minimized Slippage
Slippage often happens because the market changes between quote and execution. Smart Settlement reduces this risk by checking pool conditions closer to the settlement moment. This helps narrow the gap between the quoted amount and the actual amount received.
Protection Against PropAMM Spoofing
PropAMMs can provide strong liquidity and competitive quotes, but they can also adjust pricing dynamically. In some cases, a pool may show a tight quote to attract order flow and then widen spreads before execution. Smart Settlement helps protect users from this behavior by comparing actual pool output onchain. If the quoted pool no longer offers the best execution, Smart Settlement can route through a better candidate instead.
Better Execution for Volatile and Meme Pairs
Volatile tokens and meme coins can move quickly. A route that looked good seconds ago may become worse once another trade hits the same pool. Smart Settlement is especially useful in these conditions because it can detect when a pool has become worse and choose an alternative with better output. For users trading fast-moving assets, this means fewer surprises between quote and settlement.
Resilience Against MEV and Sandwich Risk
Even when the originally selected pool is sandwiched or front-run within the same block, Smart Settlement can detect the worsened rate and switch to a better pool. This provides an additional layer of resilience on top of your existing slippage protection.
Protection Against JIT Liquidity Removal
Some liquidity can appear deep at quote time but disappear before execution. This can happen when liquidity providers add temporary liquidity to appear attractive to aggregators, capture order flow, or liquidity mining incentives, and then remove it before execution. When this happens, the pool may become shallower than expected and deliver worse output. Smart Settlement helps address this by checking candidate pools during execution. If liquidity has been removed and the pool output has worsened, Smart Settlement can choose another pool with sufficient depth.
Toward a Smarter Future for EVM Trading
EVM onchain routing is entering a new phase. The next frontier is not only about finding the best quote. It is about making sure the final execution outcome stays as strong as possible when the transaction settles onchain. Smart Settlement brings that intelligence to KyberSwap Aggregator.
As one of the first innovations in EVM onchain routing, Smart Settlement marks an important step toward smarter and more adaptive DeFi execution. It points to the next era of onchain routing, where swaps become more dynamic, execution-aware, and built to deliver better outcomes in real market conditions. Smart Settlement is now available on all supported EVM chains.
No additional protocol fee, no extra step needed.
You’ve got the best quote, now you get the best execution.

Ten przewodnik wyjaśnia, jak działają API agregatorów DEX, dlaczego są ważne dla projektów DeFi oraz jak deweloperzy mogą używać API agregatora KyberSwap do integracji swapów po najlepszych stawkach w swoich aplikacjach.
Czym jest API agregatora DEX?
API agregatora DEX to narzędzie dla deweloperów, które pozwala aplikacjom na znajdowanie i realizację swapów tokenów na wielu zdecentralizowanych giełdach za pomocą jednej integracji. Zamiast ręcznie sprawdzać płynność na oddzielnych DEX-ach, API przeszukuje wiele źródeł płynności, porównuje dostępne trasy i zwraca zoptymalizowaną drogę do swapu.

W tym artykule porównujemy DEX-y i agregatory DEX, wyjaśniamy, który z nich zazwyczaj oferuje lepsze ceny i pokazujemy, dlaczego agregacja stała się kluczowym elementem handlu onchain.
Czym jest DEX?
DEX, czyli zdecentralizowana giełda, to platforma, która pozwala użytkownikom na wymianę tokenów bezpośrednio przez smart kontrakty. Zamiast wpłacać środki na scentralizowaną giełdę, użytkownicy łączą się z portfelem i handlują onchain.
Większość DEX-ów korzysta z pul płynności. Te pule przechowują pary tokenów dostarczone przez dostawców płynności. Kiedy użytkownik wymienia jeden token na inny, transakcja jest realizowana w oparciu o dostępną płynność w tej puli.

Użytkownicy kryptowalut często używają terminów "most" i "wymiana międzyłańcuchowa" zamiennie, ale nie są one dokładnie tym samym. Ten przewodnik wyjaśnia różnicę między mostami a wymianami międzyłańcuchowymi, jak każda z nich działa, kiedy ich używać oraz jak KyberSwap Wymiana Międzyłańcuchowa pomaga użytkownikom łatwiej poruszać się po sieciach.
Czym jest most kryptowalutowy?
Most kryptowalutowy, nazywany również mostem blockchainowym lub mostem międzyłańcuchowym, to narzędzie, które łączy dwie oddzielne sieci blockchain. Ponieważ blockchainy zazwyczaj nie mogą komunikować się ze sobą natywnie, mosty tworzą sposób na transfer aktywów, danych lub wiadomości między nimi.

Ten artykuł tłumaczy, czym są zamiany rynkowe i zlecenia limitowane, jak działają w DeFi i kiedy używać każdego z nich.
Czym jest zamiana rynkowa w DeFi?
Zamiana rynkowa to handel tokenami, który wykonuje się natychmiast po najlepszej dostępnej stawce w momencie transakcji. W DeFi zazwyczaj odbywa się to poprzez zautomatyzowanego market makera, agregatora DEX lub silnik routingu, który pozyskuje płynność z jednego lub kilku zdecentralizowanych giełd.
Na przykład, jeśli chcesz zamienić ETH na USDC teraz, zamiana rynkowa spróbuje wykonać twoją transakcję natychmiast na podstawie aktualnych cen w puli, głębokości płynności i warunków routingu.

Sztuczna inteligencja szybko przekształca zdecentralizowane finanse. Jednym z najważniejszych osiągnięć jest wzrost agentów AI w DeFi, systemów, które mogą niezależnie analizować możliwości, podejmować decyzje i współdziałać z protokołami blockchain.
Zamiast ręcznie przeskakiwać między narzędziami, porównywać stawki i realizować transakcje, użytkownicy mogą teraz polegać na systemach opartych na AI, które obsługują skomplikowane procesy w czasie rzeczywistym.
Ten artykuł wyjaśnia, czym są agenci AI w DeFi, jak działają i dlaczego stają się kluczową warstwą nowej generacji infrastruktury onchain.