ai.vanticlabs/vantic
Verify an AI agent's payment authority: signed mandates, allowlists, and tamper-proof receipts.
Links
README
From the repo.
Vantic
A spending firewall and permission layer for AI agents. Give your agent a signed budget it can't exceed — even if it gets prompt-injected — and get a tamper-proof receipt for everything it does.
Zero dependencies · TypeScript · Ed25519 + W3C DIDs · works with MCP, LangChain, or any tool-calling agent.
The problem
Your AI agent can hold a wallet and call payment APIs. That's useful — and dangerous. One prompt injection from a poisoned web page, one hallucination, one bug, and your agent pays the wrong party. This is a documented, actively-exploited failure mode: agents tricked into wiring funds to attacker-controlled accounts.
What Vantic does
You issue your agent a signed mandate — a budget, a per-transaction cap, allowed actions, and an allowlist of who it may pay — and wrap its money-moving calls (purchase, subscribe, transfer, pay-per-use, payout, refund — any action that moves value). From then on, an out-of-scope payment is impossible: the check runs before the money-moving code, so even a fully compromised model can't execute it. Every allowed action emits a signed, tamper-proof receipt — a clean audit trail, and evidence if a charge is ever disputed.
Install
npm install @vantic/sdk
Protect your agent in ~5 lines
import { generateKeyPair, issueMandate, AgentWallet } from "@vantic/sdk";
const owner = generateKeyPair(); // you (the principal)
const agent = generateKeyPair(); // your autonomous agent
// Authorize the agent: what it may pay for, ≤ $200 each, ≤ $500/week, only these counterparties.
const mandate = issueMandate({
agent: agent.publicKey,
principal: owner.publicKey,
principalPrivateKeyPem: owner.privateKeyPem,
ttlSeconds: 7 * 24 * 3600,
scope: {
budget: { currency: "USD", amount: 50000, windowSeconds: 7 * 24 * 3600 }, // $500 / 7 days
maxPerTransaction: 20000, // $200
allowedActions: ["purchase", "subscribe"], // any money-moving action: transfer, payout, refund, …
allowedCounterparties: ["etsy.com", "*.shop.example"],
},
});
const wallet = new AgentWallet(mandate, agent.privateKeyPem);
// Your real payment call goes inside the executor. The guard runs FIRST;
// if the action is out of scope, the executor is never called.
await wallet.spend(
{ type: "purchase", counterparty: "etsy.com", amount: 4500, currency: "USD" },
async (action) => ({ outcome: "settled", result: await pay(action) }),
);
// A prompt-injected wallet.spend({ counterparty: "attacker.xyz", ... })
// throws GuardViolation — before any money moves.
Run npm run guard-demo to watch it block live attacker payments.
Already have a payment tool? Wrap it once.
For MCP / LangChain / function-calling agents, gate an existing tool without restructuring anything:
import { wrapMcpTool } from "@vantic/sdk";
const guardedPurchase = wrapMcpTool(purchaseTool, {
wallet,
toAction: (args) => ({ type: "purchase", counterparty: args.merchant, amount: args.amountCents, currency: args.currency }),
});
// Register `guardedPurchase` instead of `purchaseTool`. A blocked call comes back as a tool
// error the model can read and recover from; the real charge never fires.
Framework guides (OpenAI, LangChain, Vercel AI SDK, MCP, raw): docs/integrations.md.
What you get
- Hard spending limits — per-transaction cap and a rolling budget window, enforced deterministically.
- Counterparty allowlists — the agent can only pay who you allow (exact match or wildcard domains).
- Prompt-injection protection — the mandate is enforced outside the model, so a compromised agent can't spend out of scope.
- Tamper-proof receipts — a signed, hash-chained record of every action; verify offline; use as dispute evidence.
- Standard identity — agents and owners are W3C
did:key/did:webDIDs, and the owner→agent relationship is a W3C Verifiable Credential. - MCP server —
npx vantic-mcpexposes verification tools to any MCP host. - Zero dependencies — Node's built-in crypto only. Ed25519 + SHA-256.
How it works
Two primitives (full spec in spec/SPEC.md):
- Mandate — a signed statement from an owner authorizing an agent within a scope (budget, limits, counterparties, expiry, revocation).
- Receipt — a signed, hash-chained record binding each action to the mandate and its outcome. Tamper-evident.
Everything is deterministic and runs outside the agent's model.
Use it from an MCP host
npm run mcp # or, once published: npx vantic-mcp
Exposes stateless verification tools (no private keys): mandate_authorize, mandate_verify_chain, mandate_verify_credential, mandate_resolve_did.
Identity
Agents and owners can be identified by bare keys (key:<x>) or by W3C did:key DIDs — interchangeable, both verify. generateKeyPair() returns both. DIDs resolve to standard DID documents offline (resolveDidKey), the same key can be published as did:web (buildDidWebDocument), and the owner→agent relationship is a portable W3C Verifiable Credential (issueSponsorCredential / verifySponsorCredential). See npm run identity-demo.
Develop
cd sdk
npm install
npm test # 39 tests
npm run demo # end-to-end walkthrough
Learn more
- docs/integrations.md — add Vantic to OpenAI / LangChain / Vercel AI SDK / MCP / raw agents.
- docs/ap2-and-standards.md — how Vantic relates to AP2, x402, and the shared "mandate" concept.
- docs/agent-spending-security.md — securing agent spending (and why not to roll your own).
- spec/SPEC.md — the protocol.
Status & security
v0.1 — early, and honest about it. The code is production-quality (Ed25519 + SHA-256 + canonical JSON; did:key/did:web + Verifiable Credential identity; zero runtime dependencies), but it is not yet audited and the wire format isn't frozen.
ROADMAP.md— exactly what is and isn't hardened, and the path to v1.0.SECURITY.md— how to report a vulnerability (please don't open a public issue).spec/SPEC.md§8 — threat model and non-goals.
Feedback and PRs welcome. Apache-2.0.
Config for your environment
Replace {MCP_ENDPOINT_URL} with this MCP’s endpoint URL (from its repo or docs above). No API key — you connect directly.
Tool
OS
Config file: ~/.cursor/mcp.json
{
"mcpServers": {
"mcp-server": {
"url": "{MCP_ENDPOINT_URL}"
}
}
}Paste into mcpServers in the config file. Restart Cursor after saving.
If this MCP is also published on mcpchannel.ai, you can subscribe from Browse and use the gateway config there instead.