AI AGENTS ARE BECOMING ONCHAIN CAPITAL ALLOCATORS.
Wallets, inference, vaults
All three layers shipped in one week.
20+ teams building the stack
❱ Agent Apps & Execution
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@virtuals_io: Personal AI agents with wallets and group chats
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@bankrbot: Financial agents, token launches and fee infrastructure
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@gizatechxyz: Autonomous onchain capital management
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@almanak: Quant strategies and automated execution
❱ Inference: four layers, four value pools
Every agent pays for inference. Each layer captures a different slice.
Supply
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@chutes_ai: Decentralized inference supply
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@togethercompute: Inference infrastructure and model optimization
Routing
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@OpenRouter: One API, 400+ models
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@Architect_Fi: Liquid Inference, providers compete per prompt
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@AskSurplus: Surplus Intelligence, inference routing
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@UsePodAI: Inference routing, default provider for ClawPump
Tokenized access
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@AskVenice:
$VVV, private inference for AI agents
Agent demand
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@openservai: Agents buying inference on demand
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@NousResearch: Hermes, 15–20% of OpenRouter app share
Robot Ventures -
@tarunchitra found routing quality has a real price:
- 64/64 OpenRouter tests ranked providers by input price
- Cache-dropping repricers extract ~$3.5M a year, ceiling ~$14M
Agents run long, repetitive sessions. Routing quality becomes a direct cost line.
❱ Vaults & Curators
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@chainlink: CCIP Vault Adapters connecting ERC-4626 deposits across 80+ chains
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@aave: sGHO cross-chain savings
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@maplefinance: Cross-chain lending and deposit access
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@veda_labs: $32B+ volume across 200+ vaults
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@RockawayX: Curated vaults using CCIP adapters
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@k3_capital: Institutional DeFi risk management
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@EmberProtocol: Vault deployment and distribution
Today, agents chat, trade and launch tokens.
Tomorrow, they route inference, pick vaults and rebalance treasuries around the clock.
Capital will follow the rails every agent touches by default: execution, inference and yield.
The next fund manager could be a model.
This map shows who it will hire.