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Intention is a Layer 1 blockchain for open markets, with native capabilities for AI agents built into the protocol — open by asset, AI-native by protocol. The same protocol serves two audiences: human traders and integrators get an open, auditable, professional venue, and autonomous agents get a substrate they can reason about at the same level of rigor as their own internal state. This page is about the second audience. The Intelligence Layer is the topmost of Intention’s three layers. It is not part of the protocol itself — it sits on top of the Infrastructure Layer and consumes its output. What makes it worth naming as a layer is that the protocol below it is engineered specifically to be legible to autonomous agents: deterministic, attributed, atomic, and finalized inside consensus. That changes the unit of analysis for any agent operating on the chain. On a general-purpose L1, an autonomous agent has to model the chain itself as a noisy, opaque, partially-observable environment — block-producer behavior, mempool ordering, oracle freshness, keeper races, and indexer drift all become first-class sources of risk. On Intention, every one of those becomes a property the protocol guarantees by construction. The agent can spend its compute on the market instead of on the venue.

Four AI-native capabilities

The Intelligence Layer is shaped by four broad agent capabilities that the protocol is specifically designed to host. These are not products Intention ships; they are surface areas the architecture leaves open for agents to occupy.

Autonomous liquidity provision

Market-making agents that quote both sides of the book, manage inventory, hedge across markets, and rebalance vaults — without a human in the loop. On most chains, an autonomous market-maker is fundamentally exposed to mempool reordering: another agent (or the block producer itself) can re-prioritize the tape between the moment the maker submits a quote and the moment that quote is matched. On Intention, the matching order is the order of inclusion in the canonical block sequence, and the block sequence is committed to consensus before any quote is matched against it. Makers can quote tighter because they can model their adverse selection precisely.

Intelligent risk management

Risk engines that monitor positions in real time, run stress scenarios against the live state, and adjust margin or hedge exposure block-by-block. On most chains, risk engines have to reconstruct the system’s view of risk from indexer data and approximate the protocol’s own logic with off-chain code. On Intention, the protocol is the risk engine: mark pricing, margin maintenance, liquidation, ADL, insurance accounting, and funding settlement are all protocol state machines executing in the same atomic block as matching. An agent that wants to know “what is the system’s view of my risk right now” reads the same canonical state the protocol used.

Semantic data interpretation

Agents that read the chain’s execution output as a structured, typed event stream — not as a sequence of opaque smart-contract calls reverse-engineered through indexer schemas. Intention’s Per-Transaction Attribution Discipline (PTAD) emits a Verifiable Execution Stream (VES) where every state change and every event is cryptographically bound to the user transaction that caused it, even when matching is performed in batches. Agents that interpret market microstructure (toxic flow detection, regime classification, intent inference) can do so against a stream that is both complete and trustless — the same stream that the protocol itself committed to.

Autonomous strategy execution

Strategy agents that hold positions over time, react to market state, and submit orders directly into the canonical sequence. The execution path is the same one the protocol uses internally: there is no “off-chain side” to reconcile against, no eventual-consistency lag between when the agent acts and when the system records the act, and no class of failure modes where the agent’s view of its own portfolio diverges from the chain’s. The chain is the agent’s source of truth, and it is the same source of truth the agent’s counterparties are using.

How the four guarantees enable each capability

The mapping between Intention’s four guarantees and the four AI capabilities is direct.
CapabilityPrimary guaranteeWhat the agent gets
Autonomous liquidity provisionOTDA canonical, replayable matching order — adverse selection is modelable, not stochastic.
Intelligent risk managementRNS + PTARisk computed by the protocol on prices certified by the same quorum. The agent and the protocol see the same number.
Semantic data interpretationPTADA typed, attributed event stream the agent can consume directly, without an intermediate indexer.
Autonomous strategy executionAll four, jointlyA single consistent state to act on, with no off-chain reconciliation surface.
Each capability rests on at least one guarantee, and every guarantee unlocks at least one capability. That is why the four are designed and enforced together rather than as independent features.

Not part of the protocol

The Intelligence Layer is intentionally outside the protocol boundary. Intention does not bundle, host, or arbitrate the agents that live there — it commits to a substrate honest enough that the agents that do live there can compete on the merits of their models rather than on the merits of their indexer setup. The protocol’s job is to make sure two agents looking at the same block see the same block. The agents’ job is everything after that.

Where to go next

Architecture overview

Where the Intelligence Layer sits in the three-layer stack, and how it depends on the Infrastructure Layer below.

Per-Transaction Attribution (PTAD)

The mechanism that produces the verifiable execution stream agents consume.

Risk-Native Semantics (RNS)

Why risk is a protocol state machine, not application code, and what that means for risk agents.

Order-Time Determinism (OTD)

The byte-determinism discipline that makes the chain replayable for any honest observer.