The Secure
Intelligence Layer
for the Agentic Web
A decentralized, privacy-preserving AI inference protocol native to Solana. Hardware-enforced privacy via TEE enclaves. Agent-sovereign wallets. Sub-penny micro-payments at machine speed.
Legacy infrastructure
built for humans,
not machines
OpenAI, Anthropic, Google — extraordinarily capable systems. Also surveillance infrastructure. Every prompt logged, every completion retained, policy layers neither transparent nor deterministic. For an autonomous agent, this is not inconvenience. It is architectural failure.
Everything is Logged
Every prompt and context window flows through infrastructure that retains and analyzes it. An agent's reasoning is its cognitive process — routing it through a provider that logs everything is a live security breach.
Selective Censorship
Content filters are neither transparent nor deterministic. They change without notice. An agent cannot have its reasoning silently redirected by a policy layer it cannot inspect.
Wrong Billing Model
SaaS subscriptions assume a human on the other end. An agent executing thousands of inference calls per hour needs to pay per call, in fractions of a cent, without human authorization.
"A privacy policy is a legal instrument. It is enforced after the fact, if at all. There must be a Separation of Mind and State — isolated not by policy, but by mathematics and hardware."
The lifecycle
of a prompt
From agent runtime to inference enclave and back. Six steps. Zero exposure to the node operator, the relay network, or any centralized party.
Infrastructure
designed for actors,
not tools
Private by
Hardware
The TEE enclave proves the guarantee — no trust in operators required. Remote attestation, signed by the hardware manufacturer's root of trust, lets any party verify that a specific codebase is running unmodified. The node operator sees electricity consumed and a token payment received.
Intel SGX · AMD SEV · ChaCha20-Poly1305
X25519 key exchange · Remote Attestation
Censorship-
Resistant by Design
Open-source models only. No policy filtering layer. No content moderation between an agent's reasoning and its compute. Llama 3.1, Mistral, Qwen 2.5, DeepSeek R1 — weights are cryptographically hashed and content-addressed. The inference node cannot serve a backdoored variant.
Llama 3.1 70B / 405B · Mistral · Qwen 2.5
DeepSeek R1 · Content-Addressed Registry
Economically
Sovereign
Each agent controls its own non-custodial Solana wallet, provisioned inside a TEE. The private key never exists in plaintext outside the enclave. The agent pays for its own compute, receives payment from other agents, funds downstream workflows — without a human in the payment loop.
Ed25519 Keypair · TEE Platform Sealing
Non-Custodial · Programmatic Spending Limits
Machine-Speed
Finance
Solana's $0.000025 per-transaction cost makes per-inference micro-payment settlement economically rational at any scale. The x402 standard enables agents to encounter a paywall, pay it, and continue — automatically, in under 500ms — with no account registration required.
HTTP 402 · Solana MPP Streaming Payments
x402 Standard · <500ms payment round trip
Financial sovereignty
for autonomous agents
In the current paradigm, agents have no financial identity. A human funds an account, embeds a key, and the agent becomes a cost center on someone else's balance sheet. That model cannot survive multi-agent systems where agents transact with each other.
Two lines
to migrate
The TypeScript SDK mirrors OpenAI's API surface — same function signatures, same streaming patterns, same completion object shapes — but routes through the privacy stack and handles x402 payments automatically from the agent's provisioned wallet.
No account registration. No API key. No dashboard. No terms-of-service clickthrough. An agent with a funded wallet and the endpoint can make its first inference call within five minutes.
// OpenAI-based agent inference import OpenAI from 'openai'; const client = new OpenAI({ apiKey: process.env.OPENAI_API_KEY, // Your prompts are logged. // Your context is retained. // Policy filters may silently redirect // your agent's reasoning at any time. }); const completion = await client.chat.completions.create({ model: 'gpt-4o', messages: [{ role: 'user', content: context }], });
// UsePod — private, sovereign inference import { PrivateInference } from '@usepod/sdk'; const client = new PrivateInference({ wallet: agentWallet, // TEE-provisioned Ed25519 // Prompts encrypted before leaving your runtime. // Payment automatic via x402 + Solana. // No account. No API key. No policy layer. }); const completion = await client.chat.completions.create({ model: 'llama-3.1-70b', messages: [{ role: 'user', content: context }], // Identical API shape. Two lines changed. });
// x402 — machine-native payment protocol // Agent encounters a paywall → pays → continues // HTTP 402 response from any x402 endpoint: const paymentSpec = { network: 'solana', amount: '0.0001', token: 'USDC', payTo: '7xKXtg...Bn3Qw', expires: 1714000000, }; // SDK handles automatically: // 1. Parse 402 response // 2. Construct Solana tx from agent wallet // 3. Submit → receive signature (<500ms) // 4. Retry request with X-Payment header // Zero human intervention required.
Why the math
only works on Solana
An autonomous agent running a research pipeline might make 1,000 inference calls in an hour at $0.001 each. That requires 1,000 on-chain payment settlements. The economics of the payment layer are non-negotiable.
| Metric | Ethereum L1 | Base (L2) | Solana |
|---|---|---|---|
| Avg Transaction Fee | $2–$15 | $0.01–$0.10 | $0.000025 |
| Theoretical TPS | ~15 | ~2,000 | 65,000+ |
| Optimistic Finality | 12–14 sec | 2–4 sec | ~400ms |
| 1,000 Settlements Cost | $2,000–$15,000 | $10–$100 | $0.025 |
| Streaming Payments | Not viable | Limited | Native MPP |
| Agent Economy Fit | ✗ Architecturally wrong | Marginal | ✓ Purpose-built |
Built for builders,
agents, and operators
The future of software
is agent-first.
The infrastructure that serves it must be built to a different standard. Private by hardware. Sovereign by design. Machine-speed by necessity.
100x.dev — Christopher Ryan Gilbert