Add a governed wallet to any AI agent framework in 3 API calls. LangChain, AutoGen, CrewAI compatible. We handle the crypto — you build the agent.
DeAgenticAI's Agentic Control Plane enforces cryptographic policy over AI agent authority — separating what an agent can do from what it is authorized to do — in Web3 and enterprise financial environments.
Your agents are racking up compute bills. They call APIs, consume data feeds, and orchestrate services across multiple providers. Every one of those calls costs money. Right now, you are routing those payments through your company’s payment infrastructure — Stripe, invoicing, or manual reconciliation — because the alternative is learning an entirely different technology stack just to handle money programmatically. You should not need to become a blockchain engineer to add payment rails to an AI agent.
DeAgenticAI’s Agentic Control Plane enforces cryptographic policy over AI agent authority — separating what an agent can do from what it is authorized to do — in Web3 and enterprise financial environments.
DeAgenticAI’s SDK adds a governed on-chain wallet to any AI agent framework in three API calls, with built-in policy enforcement.
We handle the crypto. You keep building agents.
The problem is not that on-chain payments are complicated. The problem is that every existing solution requires you to understand how they work at the protocol level before you can use them. You are an ML engineer or AI platform lead. Your job is building multi-agent systems, LLM pipelines, and autonomous AI services. You chose this role because you care about inference latency, model orchestration, and agent reliability — not because you wanted to manage signing keys or learn about gas fees.
Yet here you are, evaluating wallet infrastructure, because your agents need to pay for things autonomously and your CFO wants accountability for every dollar an agent spends. The gap between “my agent needs a wallet” and “I have a governed wallet running in production” should not require a three-month detour into an unfamiliar technology stack.
The difficulty is structural, not accidental. Existing agent wallet tools were built for a different user: someone who already understands the underlying payment infrastructure and wants programmatic access to it. They assume you know what a signing key is, how transaction fees work, and why nonce management matters. That assumption is baked into every API surface, every error message, and every configuration file.
When you try to integrate these tools into a LangChain pipeline or an AutoGen multi-agent system, you hit four recurring problems:
The result: you spend weeks integrating a wallet, build a fragile policy layer on top, and end up with an infrastructure dependency that your team does not want to own. This is the wrong trade-off. The wallet should be a solved problem — like logging, like authentication — not a project.
DeAgenticAI is built on a single principle: you should never need to think about the underlying payment infrastructure. The same way Stripe lets you accept payments without understanding payment card processing, DeAgenticAI lets your AI agents send and receive payments without understanding the underlying settlement layer. We call it Stripe for Agentic Wallets, and the analogy is precise.
Here is how the Agentic Control Plane solves each of the four problems described above:
Abstraction done right. The DeAgenticAI SDK exposes three methods: initialize a wallet, attach a policy, and enable payments. Everything below that — key management, transaction construction, network routing — is handled by the Agentic Control Plane. Your agent interacts with a clean API that speaks in terms of “pay $12 to this service” and “enforce a $500/day spending limit.” No low-level details leak through.
Policy enforcement built in. Instead of writing custom middleware, you define agent policies using a declarative Policy DSL — spending limits, service allowlists, time-window restrictions, and escalation paths. These policies are enforced cryptographically at the signing layer. An agent cannot authorize a payment that violates its policy, even if the orchestrator is compromised. This is not a software guardrail that can be bypassed — it is enforced at the key level.
Verifiable audit trail. Every payment your agent makes is logged with a cryptographic proof that the transaction was authorized within the agent’s policy context. Your legal and finance teams get a defensible record of every dollar spent, by which agent, under which policy, at what time. The audit trail is generated automatically — no additional instrumentation required.
Framework-native integration. DeAgenticAI ships with first-class integrations for LangChain, AutoGen, and CrewAI. The wallet is a tool in your agent’s toolkit — it plugs into the framework’s tool-calling interface the same way a web search tool or database connector does. No custom glue code. No maintenance burden. When the framework updates, the integration updates with it.
The performance layer matters too. For routine, pre-authorized payments — like paying for compute or data API calls — Fast-Path Execution delivers sub-100ms signing latency using session-based credentials. Your agent does not wait for a full security ceremony on every $2 API call. It gets a fast path for low-risk, pre-approved transactions while high-value or unusual payments go through the full policy evaluation stack. Learn more about autonomous AI agents and on-chain capital.
This is the implementation path. Three API calls. No prior knowledge of the underlying payment infrastructure required.
Step 1: Install the SDK and initialize a wallet.
Install the DeAgenticAI SDK via pip or npm. Call deagentic.wallet.create() with your API key and agent identifier. This provisions a governed wallet for your agent — complete with a unique identity registered through the KYA (Know Your Agent) framework. The wallet is immediately addressable by other agents and services. You do not need to generate keys, configure storage, or understand how the wallet works internally. One function call. One wallet. Ready to use.
Step 2: Define a spending policy and attach it to the wallet.
Call deagentic.policy.attach() with a policy configuration object. Define the rules that govern what your agent is authorized to spend: daily spending limits (e.g., $500/day), service allowlists (e.g., only pay OpenAI, Anthropic, and AWS endpoints), time-window restrictions (e.g., no payments between 2 AM and 6 AM UTC), and escalation paths (e.g., flag any single payment over $100 for human review). The policy is written in the declarative Policy DSL — you describe what the agent is allowed to do, and the Agentic Control Plane enforces it cryptographically. If an agent attempts a payment that violates any rule, the transaction is rejected before it is signed. Not after. Before.
Step 3: Enable x402 payments for agent-to-agent service calls.
Call deagentic.payments.enable_x402() to activate machine-to-machine payment rails via the x402 protocol. This lets your agent pay for APIs, compute resources, and data feeds from other agents and services — automatically, within its policy bounds. When Agent A calls Agent B’s API, the x402 payment header handles billing natively. No invoices. No reconciliation. No manual intervention. Your agent pays for what it uses, in real time, with every payment cryptographically governed by the policy you defined in Step 2.
DeAgenticAI is not a standalone tool you need to integrate from scratch. It ships as a framework-native plugin for the agent orchestration systems you already use.
LangChain. The DeAgenticAI wallet is available as a LangChain Tool. Import it, add it to your agent’s tool list, and the agent can make governed payments as part of any chain or agent execution. The wallet respects LangChain’s tool-calling conventions — input schema, output schema, error handling — so it works with any agent type: ReAct, Plan-and-Execute, or custom.
AutoGen. For multi-agent systems built on AutoGen, DeAgenticAI registers as an AutoGen function. Each agent in the group chat can have its own wallet with its own policy — Agent A might have a $1,000/day limit for compute, while Agent B has a $50/day limit for data feeds. Policies are independent per agent, enforced independently per wallet.
CrewAI. The DeAgenticAI integration for CrewAI works at the crew-member level. Assign a wallet to any crew member, define its spending authority, and the crew operates with governed financial capabilities. CrewAI’s task delegation model is preserved — the wallet integration adds payment capability without changing how you define crews, tasks, or processes.
The x402 protocol is the payment standard that ties these integrations together. When one agent calls another agent’s API endpoint, x402 handles the payment negotiation and settlement in the HTTP header layer. Your agent does not need to know how the payment is processed — it makes an API call, the x402 header handles billing, and the response comes back. Payment is a protocol-level concern, not an application-level one.
[DESIGN PARTNER REFERENCE: We are currently working with early design partners building multi-agent AI systems that require governed payment capabilities. If you are running LangChain, AutoGen, or CrewAI agents that need to pay for services autonomously, we would welcome the opportunity to discuss your requirements. Contact us at /waitlist/ to explore a design partnership.]
If you have evaluated agent wallet options, you have likely encountered Coinbase Agentic Wallets. Coinbase simplifies developer onboarding and offers a familiar brand name. For teams already operating within the Coinbase ecosystem, it is a reasonable starting point.
The critical difference is where policy enforcement lives. Coinbase Agentic Wallets enforce policy as a software layer — application-level rules that govern what an agent can do. DeAgenticAI enforces policy at the key level — meaning an agent cannot sign a transaction that violates its policy even if the orchestrator is compromised. This is not a theoretical distinction. If your agent orchestration layer is compromised by a prompt injection attack or a malicious tool, a software-layer policy can be bypassed. A key-level policy cannot. The signing infrastructure itself rejects the unauthorized transaction.
Other considerations: Coinbase Agentic Wallets are tied to the Coinbase platform and Base chain, which creates a platform dependency. DeAgenticAI’s chain abstraction layer operates across multiple networks, so you are not locked into a single provider’s infrastructure. For AI infrastructure engineers who value vendor independence, this matters.
A practical sequence from authority design to controlled production rollout.
Install the DeAgenticAI SDK and create a governed agent wallet in a single API call. The SDK handles MPC key generation, KYA identity registration, and Agentic Control Plane connection. Returns a wallet object your agent framework can use immediately — no key ceremony, no cryptography code.
Attach a spending policy using the Policy DSL: per-transaction limits, daily caps, asset allowlists, and recipient restrictions. Policy is enforced cryptographically at the MPC signing layer. Your application code calls sign() — the infrastructure handles enforcement. One API call.
Activate x402 HTTP-native payments so your agent can pay for APIs, compute, and services using the standard HTTP 402 payment flow. The governed wallet handles micropayments autonomously within policy bounds. Third API call — your agent now transacts with cryptographic guardrails and Fast-Path sub-200ms execution.
The DeAgenticAI SDK exposes standard MCP tool interfaces. Import the wallet tool, pass your agent's wallet ID, and register it as a tool in your framework's tool registry. LangChain, AutoGen, CrewAI, and any MCP-compatible orchestrator connect through the same pattern — no framework-specific adapters. Your agent calls sign() like any other tool call.
Fast-Path Execution processes policy-compliant transactions in under 200ms end-to-end — from intent submission through policy evaluation to MPC signature. Pre-validated transaction patterns skip full committee evaluation while maintaining cryptographic enforcement. For micropayments and high-frequency agent operations, the overhead is negligible compared to on-chain confirmation time.
No. The SDK abstracts the entire cryptographic stack. You call three functions: create wallet, attach policy, sign transaction. The Agentic Control Plane handles MPC key distribution, Policy DSL evaluation, intent sanitization, and threshold signing internally. If you can make a REST API call, you can integrate governed agent wallets.
x402 is an HTTP-native payment protocol: when your agent hits an API that returns HTTP 402 (Payment Required), the governed wallet automatically constructs a payment transaction within policy bounds, signs it via Fast-Path Execution, and retries the request with payment proof attached. Your agent pays for compute, data, and services without custom payment integration — the wallet handles it as a standard HTTP flow.
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