AI agents handle payments and spend controls.

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May 5, 2026

Slash

Payments

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AI agents handle payments and spend controls.

Agent API Payment Operations Finance Artificial Intelligence Agents Spend ControlsFree + from $25/mo

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Overview

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Slash for Agents is an innovative application of commercial AI, enabling AI agents to conduct autonomous financial operations such as creating cards, setting spending limits, and sending payments.

This system uses the Model Context Protocol (MCP), a standard for AI-to-tool communication. The Slash MCP server allows any MCP-compatible AI agent to interact with the full Slash financial platform.

It employs RSA-OAEP encryption to secure card data and implements human-in-the-loop approval, requiring human permission for financial operations, which ensures additional safety.

AI agents using Slash for Agents have access to the robust suite of functionality provided by the full Slash platform including cards, payments, accounts, and treasury operations.

Moreover, agents can set spending constraints per card or per group to accommodate various business needs. Spend controls can be updated as per shift in business requirements.

The solution is designed with a Security-first approach that utilizes RSA-OAEP encryption, allowing agents to access only tokenized, encrypted data.

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March 11, 2026

Initial release of Slash.

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Pros and Cons

Pros

Autonomous financial operations

Uses Model Context Protocol

MCP server for interaction

Secures card data with RSA-OAEP encryption

Human-in-the-loop approval for security

Access to full Slash platform

Flexible spending constraints

Security-first design

Allows secure access to tokenized, encrypted data

Spend controls adjustable to business needs

Tokenized data protection

Supports treasury operations

Creates cards instantly

Enforces spend controls

Monetary transfers between accounts

Read-only API keys

Never exposes raw card numbers

Full API discovery

Agents understand parameter types

Agents only see tokenized, encrypted data

Card PAN and CVV encrypted

Human approval for write operations

API keys allow for deferral

Full audit trails

Quick connection with one URL

Complete any banking task

Real-time spending insights and trends

Auto top-up for low balance

Custom user controls for security

Granular permissions

Supports virtual accounts

Card data stored as VGS tokens

All actions fully auditable

No custom integration work required

Can manage invoices

Approve expense reports

Check account balances

Automatic endpoint discovery

Agents can manage virtual accounts

No special SDK or library required

Agent actions subject to human approval

Supports ACH authorizations

Allows setting vendor payment limits

View 38 more pros

Cons

Requires MCP compatibility

Lacks non-RSA encryption methods

Human approval required

No manual configuration

Requires private key

Data tokenization limited to VGS

Read-only API keys

PCI DSS compliance required

No immediate execution of write operations

View 4 more cons

Q&A

What is Slash for Agents?

Slash for Agents is a commercial AI application which enables AI agents to autonomously manage financial operations. The operations include creating cards, setting spending limits, and sending payments.

How does Slash for Agents use the Model Context Protocol (MCP)?

Slash for Agents utilizes the Model Context Protocol (MCP) by providing an MCP server which permits any MCP-compatible AI agent to communicate, and thus interact, with the full Slash financial platform.

What can Slash MCP server do?

The Slash MCP server can interact with MCP-compatible AI agents, allowing such agents to access the entirety of the Slash financial platform. Within this interaction, the MCP server enables the AI agents to conduct banking, cards creation, and payment operations.

What safety measures does Slash for Agents implement?

Slash for Agents has several security measures in place. It uses RSA-OAEP encryption to secure card data and leverages human-in-the-loop approval, where financial operations require human permission, to ensure additional safety. It also tokenizes and encrypts all data, allowing agents to access only secure data.

What functionalities are available to AI agents using Slash for Agents?

AI agents using Slash for Agents can access the full suite of functionality provided by the Slash platform. This includes creation of cards, handling payments, managing accounts, and conducting treasury operations. Furthermore, agents can set spending constraints per card or group, accommodating a variety of business needs.

How can agents set spending constraints in Slash for Agents?

In Slash for Agents, AI agents can set spending constraints per card or per group. This can be done through the Slash API, giving a high degree of control over spending to accommodate different business requirements.

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Can the spend controls be updated according to business requirements?

Yes, the spend controls in Slash for Agents can be updated according to shift in business requirements. Agents are able to constantly modify spending constraints as the business needs evolve.

How does the Security-first approach of Slash for Agents work?

The Security-first approach of Slash for Agents involves a strong emphasis on data security and safety. Tokenization and RSA-OAEP encryption methods are employed to secure data. Agents only receive tokenized and encrypted data ensuring that no raw card details or other sensitive financial information is ever exposed.

How do Payment AI agents handle payments and spend controls?

Payment AI agents handle payments and spend controls by interacting directly with the Slash API. This allows them to initiate transactions, establish spending limits, update these limits, and manage payments overall.

What is the role of the human-in-the-loop approval in Slash for Agents?

The human-in-the-loop approval in Slash for Agents is a mechanism where any financial operation requires human permission for execution, adding an extra layer of control and security to the AI's actions.

What encryption method is used in Slash for Agents?

In Slash for Agents, card data security is ensured using RSA-OAEP encryption. This method encrypts card data ensuring it is safe from potential breaches.

What is the process of creating cards in Slash for Agents?

Creating cards in Slash for Agents involves AI agents interacting directly with the Slash API. The agents can create either virtual or physical cards, assign names, set types, establish spending limits and link the cards to accounts in a single API call.

What treasury operations are available in Slash for Agents?

Treasury operations in Slash for Agents are accessible to any MCP-compatible AI agent, just like all features of the full Slash platform. While the specific treasury operations accessible are not specified, the AI agents can interact with the full Slash financial platform.

Does Slash for Agents accommodate different business requirements?

Yes, Slash for Agents does accommodate different business requirements. This is evidenced through the agent's ability to set spending constraints per card or per group and adjust these constraints as business needs change.

What kind of data do agents have access to in Slash for Agents?

Agents in Slash for Agents have access to tokenized, encrypted data. This includes data related to cards, payments, accounts, and treasury operations.

How does Slash for Agents implement RSA-OAEP encryption?

In Slash for Agents, RSA-OAEP encryption is implemented to secure card data. PAN and CVV are encrypted using the user's RSA public key before reaching the agent, and agents do not have access to raw card numbers.

What does the AI-to-tool communication in Slash for Agents entail?

AI-to-tool communication in Slash for Agents entails the use of the Model Context Protocol (MCP), which allows the AI agents to interact with the full Slash financial platform. It includes listing endpoints, understanding endpoint schemas, and executing API calls for various financial operations.

How are Spending Limits set in Slash for Agents?

Spending limits in Slash for Agents are set by AI agents through the Slash API. Agents can establish daily, monthly, or lifetime limits for each virtual or physical card, or for groups of cards respectively.

What is the process of sending payments using Slash for Agents?

To send payments using Slash for Agents, AI agents interact with the Slash API and initiate payment transactions. These can be moving money between accounts, paying invoices, or sending funds via Slash Pay.

What is tokenised data in Slash for Agents?

In Slash for Agents, tokenized data refers to card data that has been processed through a secure handling method called tokenization. This replaces sensitive data elements with non-sensitive equivalents, known as tokens, that have no exploitable value.

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