Agentcard AI is a specialized financial technology and agentic commerce platform developed by Alchemy that equips autonomous AI agents with virtual Visa payment cards, programmable spending limits, and real-time transaction controls.
Agentic Payment Infrastructure
As AI agents evolve from informational assistants into autonomous actors capable of executing complex end-to-end tasks, they frequently encounter operational friction when attempting to complete financial transactions online. Traditional banking portals, physical credit cards, and static API keys are not designed to support non-human software entities making automated purchasing decisions. Agentcard AI bridges this infrastructure gap by providing a dedicated payment issuing layer specifically tailored for agentic workflows. Built in strategic collaboration with Visa Intelligent Commerce, the platform issues tokenized virtual Visa debit cards directly to software agents, allowing them to pay for services, SaaS subscriptions, and digital assets across millions of existing global merchants.
Spend Governance and Financial Safeguards
Deploying financial credentials to autonomous software introduces unique risk factors, including runaway execution loops, unmonitored API calls, and credential exposure. Agentcard AI addresses these vulnerabilities by embedding policy-driven spend governance directly into every issued payment card. Developers and organization administrators maintain complete authority over how, when, and where AI agents allocate funds:
- Programmable spend caps: Define strict per-transaction, daily, weekly, or monthly monetary spending limits to prevent budget overruns.
- Merchant Category Code filtering: Restrict card usage exclusively to authorized vendor types, automatically blocking unauthorized categories like gambling, adult services, or unvetted storefronts.
- Human-in-the-loop approvals: Configure threshold-based approval triggers that mandate human verification for purchases exceeding specific dollar amounts or recurring billing commitments.
- Instant card revocation: Automatically freeze or destroy single-use virtual cards immediately upon transaction completion to prevent secondary authorization attempts.
- Real-time transaction webhooks: Receive instantaneous webhook notifications for authorized, declined, or pending agent purchases across all integrated communication channels.
Model Context Protocol and Developer Integration
Agentcard AI offers seamless developer integration through a native Model Context Protocol server, enabling AI models such as Anthropic Claude, Cursor, and OpenClaw framework agents to interact with payment tools natively within standard LLM function calling routines. Through the MCP server interface, agents can discover available payment tools, query card balances, request spending authorizations, and retrieve card token details without exposing raw primary account numbers to language model prompt contexts.
Additionally, the platform supports the Agent2Agent protocol standard, hosting metadata schemas at standard host directory paths like /.well-known/agent-card.json. This standard allows multi-agent networks to verify authentication credentials, payment capabilities, and security attestations prior to executing peer-to-peer micro-transactions.
Primary Industry Use Cases
Agentcard AI powers a wide array of automated purchasing scenarios across software engineering, business operations, and consumer convenience:
- Automated cloud and API procurement: Software development agents can dynamically provision cloud compute instances, purchase additional API credits, or subscribe to specialized developer tools during build pipelines.
- Autonomous e-commerce assistant execution: Personal AI assistants can complete online retail orders, reserve hotel accommodations, book flight tickets, and order groceries on behalf of users.
- Data extraction and research tasks: Data collection agents can independently pay for paywalled industry reports, access premium academic databases, or acquire domain names during automated domain portfolio management.
- Enterprise expense delegation: Companies can assign dedicated, scoped virtual cards to internal automated bots for cloud infrastructure management and software tool licensing.
Pricing Tiers and Plan Structure
Agentcard AI provides structured pricing tiers designed to accommodate individual developers testing prototype agents up to enterprise organizations deploying large agent fleets.
| Plan Tier | Monthly Fee | Card Issuance Limits | Key Platform Features |
|---|
| Developer Sandbox | $0 / month | Up to 2 active test cards | Test network card issuance, full API access, standard rate limits, community support |
| Pro Agent | $19 / month | Up to 20 live virtual cards | Live Visa card issuance, custom spend limits, real-time transaction webhooks, basic approval workflows |
| Enterprise Fleet | Custom volume pricing | Unlimited virtual cards | Visa Intelligent Commerce tokenization, multi-team access management, advanced audit logging, dedicated account support |
All virtual card transactions are subject to standard network interchange processing rates, with no hidden monthly account maintenance fees on inactive test credentials.
Security Standards and Data Protection
Financial transactions executed by AI entities require stringent security architecture to protect cardholder information and ensure PCI-DSS compliance. Agentcard AI utilizes tokenized payment credentials, replacing sensitive primary account numbers with encrypted tokens that are only valid for designated merchants or single transactions. All card issuance requests, balance queries, and policy updates require cryptographically signed API headers, maintaining complete auditability for security teams and regulatory compliance officers.
