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Payments 2026 Rank: #3026

Slash ✓

AI agents handle payments and spend controls.

86 views 667.9K/mo traffic 1 saves Freemium
Agent API Payment Operations
More categories (4)
Finance Artificial Intelligence Agents Spend Controls Payments
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Free + from $25/mo

Verdict

A quick read before you dig into the full page.

Best if
AI agents handle payments and spend controls
Skip if
Data tokenization limited to VGS
Pick this when
Autonomous financial operations

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Overview

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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Access & connections

Where you can use Slash, and what it plugs into.

Platforms

Web

Integrations

MCP

API

Public API available

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Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • API
  • Tabular

Output

  • API

Highlights

  • Agents
  • API
  • MCP

Supported features

  • Finance & Accounting
  • Assistant
  • Agents
  • API
  • MCP
  • Automation
  • Integrations
  • Team Collaboration
  • SOC 2 Compliance

Pros & 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
Show 35 more
  • 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

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
Show 1 more
  • No immediate execution of write operations

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Releases 1

Initial release March 11, 2026 Current
Initial release of Slash.

FAQ 12

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.
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.
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