Ship governed agent wallets without building key management. DeAgenticAI SDK adds cryptographic policy enforcement to any AI agent framework.
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.
You are building an AI agent that does something valuable — automates portfolio rebalancing, executes on-chain trades based on sentiment signals, manages subscription payments across protocols, or orchestrates multi-agent workflows that move capital. Your investors backed you because of what your agent does. Your users will pay you because of what your agent does. Your product is the agent.
But the moment your agent needs to sign a transaction, you hit the wall. 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. That separation is exactly what you need, and exactly what you should not be building yourself.
DeAgenticAI’s SDK lets AI startups add governed on-chain wallets to any agent framework in three API calls, with cryptographic policy enforcement built in.
You did not raise a seed round to become a key management company. You raised it to ship an AI product. Every sprint you spend on signing infrastructure, policy enforcement, and custody architecture is a sprint you are not spending on your core product — the thing your customers actually want.
The instinct to build key management in-house comes from a reasonable place: you want control. Your agent is signing real transactions with real value, and you want to understand every layer of the signing stack. That instinct is correct. The conclusion — that you should build it yourself — is not.
Here is why the abstraction is wrong:
Key management is not a feature — it is a discipline. Building a secure signing pipeline requires MPC threshold cryptography, hardware security module integration, session key lifecycle management, policy enforcement at the cryptographic layer (not as a software middleware), fraud detection, and chain abstraction. Each of these is a team-year of work done well, or a month of work done dangerously.
The threat model is different for agents. Traditional key management was designed for human-initiated transactions — one signer, one approval, one action. Autonomous AI agents generate hundreds of signing requests per hour, operate without human confirmation loops, and can be manipulated by prompt injection attacks that no human signer would fall for. The security architecture for agent signing is fundamentally different from the architecture for human signing. Building the human version and hoping it works for agents is a category error.
Your investors will ask. Around Series A, every institutional investor and enterprise customer asks the same question: “How do you handle key management and policy enforcement?” If your answer is “we built it ourselves,” the follow-up is a security audit that costs six figures and delays your round by months. If your answer is “we use purpose-built agent governance infrastructure with cryptographic policy enforcement,” the conversation moves to product.
The Agentic Control Plane is an 8-layer infrastructure stack purpose-built for autonomous AI agents. For you as a startup CTO, the relevant question is not “what are all eight layers?” — it is “which layers solve my problems, and how fast can I deploy them?” Here is the mapping.
Problem: Your agent needs an identity that other agents and protocols can verify.
Solution: The KYA (Know Your Agent) layer establishes verifiable on-chain identities for your AI agents using W3C DIDs and A2A Agent Card verification. Your agent gets a cryptographic identity — not a username and API key, but a verifiable credential that other agents and protocols can authenticate. You deploy this via the SDK in a single initialization call.
Problem: Prompt injection could manipulate your agent into signing malicious transactions.
Solution: The Intent Sanitization layer validates and transforms raw agent proposals into structured, policy-evaluable intents before anything reaches the signing layer. This is not input validation at the application layer — it is a pre-execution pipeline that blocks prompt injection attacks before any agent proposal reaches the signing layer. You get this automatically with every governed wallet.
Problem: You need to enforce spending limits, protocol allowlists, and operational constraints — but enforcement through software middleware is bypassable.
Solution: The Policy DSL is a declarative language that defines AI agent governance rules — spending limits, allowlists, and escalation paths — enforced cryptographically at signing time. You write your policies as declarative rules. The MPC signing nodes will not sign any transaction that violates the policy — not “will reject it in software” but “cryptographically cannot produce a valid signature.” This is the difference between a software guardrail and a cryptographic guarantee.
Problem: Your agent needs to execute fast for time-sensitive operations, but full MPC ceremonies add latency.
Solution: Fast-Path Execution enables sub-100ms signing for pre-authorised, low-risk transactions using session key credentials. Your agent gets fast signing for routine operations and full MPC ceremony for high-value transactions — all governed by the same policy context. You configure the threshold in the Policy DSL; the infrastructure handles the routing.
The result: your agent gets a governed wallet with cryptographic policy enforcement, prompt injection defence, verifiable identity, and sub-100ms signing for routine operations — deployed through the SDK, not built from scratch.
This is the implementation path. Each step maps to a specific SDK method and takes minutes, not months.
Step 1: Install the SDK and initialise your agent’s identity.
Install the DeAgenticAI SDK via npm or pip. Call the identity initialisation method with your agent’s metadata — name, version, capabilities, and owner DID. The SDK generates a W3C DID-anchored identity and registers your agent in the KYA registry. Your agent now has a verifiable on-chain identity that other agents and protocols can authenticate.
Step 2: Define your agent’s policy rules in the Policy DSL.
Write the governance rules your agent must operate within: spending limits per transaction and per time window, protocol allowlists (which contracts your agent can interact with), risk thresholds that trigger escalation to human review, and time-window constraints for operational hours. The Policy DSL is declarative — you describe what is allowed, not how to enforce it. The infrastructure handles enforcement at the cryptographic layer.
Step 3: Create the governed wallet and bind it to the policy context.
Call the wallet creation method with your policy configuration. The SDK provisions an MPC-backed wallet, binds your Policy DSL rules to the wallet’s signing context, and activates Intent Sanitization on all inbound transaction proposals. Your agent now has a wallet that cryptographically cannot violate its policy.
Step 4: Configure session keys for fast-path operations.
Define which transaction types qualify for sub-100ms Fast-Path Execution via session key credentials. Routine, low-risk operations (micro-payments, data-feed purchases, standard rebalancing within approved limits) get session keys. High-value or unusual operations route through the full MPC signing ceremony. You set the thresholds; the infrastructure routes automatically.
Step 5: Deploy and connect to your agent framework.
Integrate the governed wallet into your existing agent framework — LangChain, AutoGen, CrewAI, or your custom orchestration layer. The SDK provides framework-specific adapters. Your agent calls the signing method when it needs to execute a transaction; the Agentic Control Plane handles identity verification, intent sanitization, policy evaluation, fraud detection, and MPC signing. Your agent code stays clean — one method call to sign, with the full governance stack behind it.
Shipping fast matters. Shipping on standards that will still exist in two years matters more. The Agentic Control Plane is built on open standards, not proprietary protocols that lock you into a single vendor’s ecosystem.
MCP (Model Context Protocol) compatibility. Your agent can expose its governed wallet capabilities as MCP tools, making them discoverable and callable by any MCP-compatible agent orchestrator. This means your agent’s financial capabilities are not siloed — they are composable within the emerging multi-agent ecosystem.
A2A (Agent-to-Agent) protocol support. The KYA identity layer issues A2A Agent Cards, enabling your agent to authenticate with other agents in multi-agent workflows. When your agent needs to interact with a counterparty agent — requesting a price quote, initiating a trade, or verifying a credential — A2A provides the trust framework.
Self-hostable architecture. The entire Agentic Control Plane can be deployed on your own infrastructure. No API dependency on DeAgenticAI servers for production signing. No data leaving your network. No vendor who can deprecate your signing endpoint. Self-hosting is not a premium tier — it is the default deployment model. For a deeper understanding of how autonomous AI agents operate on-chain with governed authority, see the Autonomous AI Agents and On-Chain Capital pillar.
W3C DIDs for agent identity. Your agent’s on-chain identity is anchored to a W3C Decentralised Identifier — not a proprietary identity scheme that dies when the vendor pivots. ERC-8004, ERC-8162, and ERC-8165 for on-chain policy representation. x402 for machine-to-machine payments. Account abstraction for gas management. Each of these is an open standard, not a DeAgenticAI-specific protocol.
[DESIGN PARTNER NOTE: We are working with early design partners building AI agent products across DeFi, payments, and multi-agent orchestration. If you are building an AI agent product that needs governed on-chain execution, we want to talk — early design partners get dedicated integration support and influence over SDK priorities.]
If you are evaluating wallet infrastructure for your AI agent product, the acquisition landscape is the most important strategic context you can have right now.
Privy is now a Stripe product. If your agent infrastructure depends on a banking giant’s roadmap decisions, your sovereignty is already gone. Stripe acquired Privy for its embedded wallet technology to serve Stripe’s payments ecosystem — not to serve AI agent startups building autonomous on-chain execution. Your agent’s signing infrastructure is now a feature inside a payments company, subject to Stripe’s product priorities, pricing changes, and platform governance decisions. When Stripe decides that AI agent wallets are not a priority for their payments roadmap, you will be the last to know and the first to be affected.
Dynamic.xyz is excellent auth infrastructure. But for autonomous agents managing capital, you need policy enforcement at the signing layer — not just wallet UX. Dynamic solves authentication and wallet connection beautifully. What it does not solve is the governance problem: what happens after your agent connects to a wallet? Who controls what the agent can sign? What prevents a prompt injection attack from authorising a malicious transaction? Authentication is the front door. Governance is the entire building.
Coinbase Agentic Wallets simplify developer onboarding. But policy enforcement is a software layer — not cryptographic. Coinbase’s approach to agent wallets treats governance as application-layer logic: rules checked in software before signing. The Agentic Control Plane enforces policy at the cryptographic layer — MPC signing nodes independently verify the policy authorisation hash before contributing partial signatures. The difference: software guardrails can be bypassed; cryptographic enforcement cannot. Additionally, Coinbase Agentic Wallets are tied to the Base chain ecosystem. If your product needs multi-chain execution, you inherit a chain dependency that constrains your product roadmap.
A practical sequence from authority design to controlled production rollout.
Add the DeAgenticAI SDK to your project with a single package install. The SDK wraps the Agentic Control Plane API and handles wallet creation, policy attachment, and transaction signing — no cryptography expertise required.
Create a governed wallet for your AI agent in one API call. The SDK generates an MPC-distributed key pair, registers a KYA (Know Your Agent) identity, and returns a wallet object your agent code can use immediately. No manual key ceremony.
Attach a policy to the wallet using the Policy DSL: spending limits, asset allowlists, recipient restrictions, and time-window constraints. Policy is enforced cryptographically at the MPC signing layer — not in your application code, where it can be bypassed.
Wire the governed wallet into your existing agent framework — LangChain, AutoGen, CrewAI, or any MCP/A2A-compatible orchestrator. The SDK exposes standard tool interfaces so your agent can sign transactions through the same tool-calling pattern it uses for everything else.
Choose your deployment model: self-hosted for full infrastructure control, or managed for zero-ops. Both options enforce the same cryptographic policy guarantees. Switch between them without changing agent code — the SDK abstracts the infrastructure layer.
The DeAgenticAI SDK handles the entire key management stack: MPC key generation, Hardware-Hybrid Custody, policy enforcement, and transaction signing. You initialize a wallet, attach a policy, and call sign — three API calls. Your engineering team focuses on agent logic, not cryptographic infrastructure. No key ceremony, no HSM procurement, no MPC protocol implementation.
Privy, Dynamic, and Turnkey are embedded wallet providers — your agent's keys live in their infrastructure, and policy enforcement happens at the application layer. DeAgenticAI enforces policy cryptographically at the MPC signing layer, and the self-hosted deployment option means you can run the full stack on your own infrastructure. If DeAgenticAI disappears, your keys and policies remain operational. Zero platform lock-in.
Yes. The SDK exposes standard MCP tool interfaces and A2A-compatible endpoints. Your agent calls the governed wallet through the same tool-calling pattern it uses for web search, database queries, or any other tool. LangChain, AutoGen, CrewAI, and custom orchestrators connect through the Agentic Control Plane API without framework-specific adapters.
Yes. DeAgenticAI offers both managed and self-hosted deployment. Self-hosted runs the full Agentic Control Plane — MPC nodes, policy engine, Intent Sanitization, and signing infrastructure — on your own infrastructure. Same cryptographic guarantees, full infrastructure control. The SDK abstracts the deployment model, so switching between managed and self-hosted requires zero code changes.
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