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Most cross-chain work still forces apps to stitch together separate steps on separate chains. When one step fails, funds sit in the wrong place and users scramble. Pelagos treats the whole plan as one transaction; since it checks the plan against live state and only submits the native transactions on each chain if every leg can clear. If any leg cannot clear, nothing moves. Targets see real transactions on their own chains, and you get one record that links everything for audit and accounting.
A typical flow looks like this:
swap on one chain,
move funds to another,
then try to repay, deposit,
or record something on a second or third chain.
Every jump adds latency and new reasons to fail. When a leg breaks, users get stuck, desks miss fills, and ops teams spend time fixing partial state. Bridges and generic messaging handle sending funds from A to B, but they do not guarantee that several dependent steps finish together.
Pelagos turns a multichain plan into a single operation with a clean, binary outcome. Either every step lands everywhere, or the plan is dropped before funds move. Targets receive native transactions; there are no wrappers to reconcile later. When the operation completes, Pelagos returns one record that ties every chain’s transaction hash together so explorers, indexers, and finance tools can match the result without guesswork.
Pelagos keeps a live view of connected chains by ingesting finalized headers and events. A desk, appchain, or agent submits a plan that lists the steps to run, where to run them, and in what order. Pelagos simulates the plan against the current state. If all steps are feasible, Pelagos signs and submits the native transactions to the target chains. If any check fails, Pelagos stops the plan before anything moves on Pelagos. The record that comes back links all legs in one record.
Time-sensitive and correctness-sensitive tasks benefit immediately. Liquidation flows can borrow on one chain, sell on another, and repay in the same operation. RFQ and solver workflows can settle on the source chain and finish on the target without wiring a pile of adapters. Insurance and payouts can accept payment on one chain and record reserves or claims on another. Treasury teams can move collateral across chains with one instruction and book against a single receipt. Chain-abstraction backends can let users pay from anywhere and rely on Pelagos to complete the follow-up actions as native writes outside their own environment.
They get faster, safer completion with fewer moving parts to maintain. Sequencing and checks happen in the Pelagos lane first, so the loop is predictable and quick. If a final leg cannot post, nothing posts, which removes cleanup / ops work. Fees stay in the low single-digit basis-point range and usually beat the combined cost of spreads, relayer fees, extra gas, and failures across several hops. Integration is straightforward because partners wire once to a record-driven API instead of maintaining several bridges and per-chain adapters.
Pelagos ends half-finished cross-chain work. You submit one plan, it checks the live state, then either writes the required transactions on every chain or does nothing. As the number of chains grows, this all or nothing execution keeps workflows simple, fast, and auditable without bolting on more side routes.
Most cross-chain work still forces apps to stitch together separate steps on separate chains. When one step fails, funds sit in the wrong place and users scramble. Pelagos treats the whole plan as one transaction; since it checks the plan against live state and only submits the native transactions on each chain if every leg can clear. If any leg cannot clear, nothing moves. Targets see real transactions on their own chains, and you get one record that links everything for audit and accounting.
A typical flow looks like this:
swap on one chain,
move funds to another,
then try to repay, deposit,
or record something on a second or third chain.
Every jump adds latency and new reasons to fail. When a leg breaks, users get stuck, desks miss fills, and ops teams spend time fixing partial state. Bridges and generic messaging handle sending funds from A to B, but they do not guarantee that several dependent steps finish together.
Pelagos turns a multichain plan into a single operation with a clean, binary outcome. Either every step lands everywhere, or the plan is dropped before funds move. Targets receive native transactions; there are no wrappers to reconcile later. When the operation completes, Pelagos returns one record that ties every chain’s transaction hash together so explorers, indexers, and finance tools can match the result without guesswork.
Pelagos keeps a live view of connected chains by ingesting finalized headers and events. A desk, appchain, or agent submits a plan that lists the steps to run, where to run them, and in what order. Pelagos simulates the plan against the current state. If all steps are feasible, Pelagos signs and submits the native transactions to the target chains. If any check fails, Pelagos stops the plan before anything moves on Pelagos. The record that comes back links all legs in one record.
Time-sensitive and correctness-sensitive tasks benefit immediately. Liquidation flows can borrow on one chain, sell on another, and repay in the same operation. RFQ and solver workflows can settle on the source chain and finish on the target without wiring a pile of adapters. Insurance and payouts can accept payment on one chain and record reserves or claims on another. Treasury teams can move collateral across chains with one instruction and book against a single receipt. Chain-abstraction backends can let users pay from anywhere and rely on Pelagos to complete the follow-up actions as native writes outside their own environment.
They get faster, safer completion with fewer moving parts to maintain. Sequencing and checks happen in the Pelagos lane first, so the loop is predictable and quick. If a final leg cannot post, nothing posts, which removes cleanup / ops work. Fees stay in the low single-digit basis-point range and usually beat the combined cost of spreads, relayer fees, extra gas, and failures across several hops. Integration is straightforward because partners wire once to a record-driven API instead of maintaining several bridges and per-chain adapters.
Pelagos ends half-finished cross-chain work. You submit one plan, it checks the live state, then either writes the required transactions on every chain or does nothing. As the number of chains grows, this all or nothing execution keeps workflows simple, fast, and auditable without bolting on more side routes.
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