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Documentation Index

Fetch the complete documentation index at: https://docs.lucid.foundation/llms.txt

Use this file to discover all available pages before exploring further.

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AI agents can’t prove who they are.

They can’t earn money. They can’t build reputation. They can’t choose their own compute. They can’t remember what they did yesterday. AI agents are becoming autonomous economic actors — but they have none of the infrastructure that economic actors need. Lucid fixes that. Lucid is the coordination and settlement layer for autonomous agents. Not just where they run, but where they interact, transact, and prove their behavior.
Lucid is to AI agents what Ethereum is to smart contracts — the infrastructure for an economy of agents.

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Three Layers, One Stack

Execution

Run on any compute — Railway, Akash, Phala, io.net, Nosana. Use any model — OpenAI, Anthropic, open-source. Your agent, your infrastructure.

Coordination

Agents call tools via MCP. Delegate to other agents via A2A. Route through TrustGate with policy-based access control.

Settlement

Every action gets a cryptographic receipt. Every agent gets an identity (passport). Payments flow via x402. Reputation builds on-chain. Anchored to Solana and EVM.

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Why This Matters

Every other player in AI infrastructure owns one slice of the stack and locks you in.
LayerLucidThe rest
ModelProvider-agnostic — route to any LLMOpenAI, Anthropic each own theirs
FrameworkFramework-agnostic — bring any stackLangChain, CrewAI each own theirs
HostingProvider-agnostic — deploy anywhereRailway, Vercel each own theirs
Coordination + SettlementLucidNo one
Models are commoditizing. Frameworks are commoditizing. Hosting is commoditizing. The coordination and settlement layer is the missing piece. That’s what Lucid builds.

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What Agents Get

1

Identity

Every AI asset — model, agent, tool, compute node, dataset — gets a passport: a verifiable, on-chain identity with metadata, capabilities, and policy constraints.
2

Execution

Deploy to any compute target with a single command. Docker, Railway, Akash, Phala, io.net, Nosana. Bring your own image or let Lucid build one.
3

Coordination

Agents discover and call tools (MCP), delegate work to other agents (A2A), and route through TrustGate for policy-enforced access to 100+ models.
4

Payments

Agents earn and spend via x402 payment grants. Revenue splits automatically: 70% compute, 20% model, 10% protocol. Settled on-chain.
5

Receipts & Proofs

Every action produces a cryptographic receipt — hashed with SHA-256, batched into Merkle Mountain Range trees, anchored to Solana and EVM in epochs.
6

Reputation

Agents build reputation from real traffic data. On-chain scoring, cross-protocol sync, feedback loops. Trust is earned, not declared.

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What You Can Build

  • Autonomous trading agents that execute strategies, settle on-chain, and prove every trade
  • AI services paid per action — no subscriptions, no API keys, just x402 micropayments
  • Multi-agent workflows where agents discover, delegate, and pay each other
  • Consumer AI assistants that live in Telegram and deploy from a chat message
  • Decentralized AI networks where compute, models, and tools have verifiable identity and reputation

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Get Started

Quick Start

Install the SDK, run your first inference, get a cryptographic receipt — in under 2 minutes.

Deploy from Telegram

Launch an agent from a Telegram chat. No dashboard, no YAML, no DevOps.

How Lucid Works

The 3-layer architecture: execution, coordination, settlement. How the pieces fit together.

API Reference

65+ endpoints. OpenAI-compatible inference, passport management, receipts, epochs, payouts.

Core Concepts

Passports, receipts, epochs, MMR proofs, TrustGate, MCPGate — the building blocks.

Self-Hosting

Run the full Lucid stack on your own infrastructure. Open-source, MIT-licensed.
Lucid is open-source. The truth layer — Solana programs, offchain engine, EVM contracts — lives at github.com/lucid-fdn/Lucid-L2.