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About Paitify

Paitify provides a spend policy engine for autonomous AI agents, enabling real-time authorization of transactions while maintaining a complete audit trail. It allows organizations to define granular rules such as spend limits, merchant restrictions, approval thresholds, and velocity controls either per agent or company-wide. The system enforces policies through a single API call before each payment, returning immediate decisions with reasons for approval, denial, or human review. Every decision is logged in an append-only audit ledger that chains transactions for tamper-evident record-keeping. The platform supports flexible capture modes including immediate authorization with optional cancellation, explicit reservation with delayed capture, and auto-capture for immediate commitment. It integrates with any payment processor via REST API and works with MCP-compatible clients such as Claude. The solution addresses challenges like runaway agent spend, lack of policy enforcement, and zero visibility into agent transactions that traditional payment controls were not designed to handle.

Key features

  • Real-time spend authorization for AI agents
  • Granular policy definition by agent or company-wide
  • Velocity controls with sliding window rate limiting
  • Human-in-the-loop approval for high-value transactions
  • JWT-signed approval tokens for offline verification
  • Multiple capture modes (AUTO, EXPLICIT, CAPTURE)
  • MCP protocol support for Claude and compatible clients
  • Append-only audit ledger with tamper-evident chaining

Use cases

  • Procurement agents managing software and cloud resource purchases
  • Coding agents controlling API and compute spend against hard ceilings
  • Ad-spend agents enforcing daily and campaign budget caps

Pros

  • Real-time authorization decisions without slowing agents
  • Granular policy controls by amount, merchant, MCC code, currency, and velocity
  • Append-only audit trail with tamper-evident chaining
  • Flexible capture modes for different payment workflows
  • MCP-native compatibility with Claude and other MCP clients

Cons

  • No free tier beyond initial 1,000 authorizations
  • Requires integration via API with existing payment systems
  • Pricing plans limit number of agents and policies per tier

Frequently asked questions about Paitify

What does Paitify do?

Paitify is a spend policy engine designed for autonomous AI agents, providing real-time authorization of transactions while maintaining a tamper-evident audit trail. It enforces granular policies such as spend limits, merchant restrictions, and approval thresholds before each payment.

Who should use Paitify?

Paitify is ideal for organizations deploying autonomous AI agents that require financial control, such as procurement agents, coding agents, ad-spend managers, and trading systems. It suits teams needing policy enforcement and audit visibility for agent-driven transactions.

How does Paitify integrate with existing systems?

Paitify integrates via a REST API, requiring a single API call before each payment to authorize or deny transactions. It supports MCP-compatible clients like Claude and works with any payment processor, making it protocol-agnostic.

What types of policies can Paitify enforce?

Paitify supports granular policies including spend limits by amount, period, or velocity, merchant restrictions, approval thresholds, currency controls, MCC codes, and business hours. Policies can be defined per agent or company-wide.

Does Paitify provide an audit trail?

Yes, every decision—approved, denied, or requiring human review—is logged in an append-only audit ledger that chains transactions for tamper-evident record-keeping. The audit trail includes full rule evaluation results, agent IDs, merchant data, and timestamps.

How do I get started with Paitify?

Start by defining your policies in the dashboard, then integrate Paitify’s API into your agent’s workflow. The system enforces policies in real time with each payment request, and decisions are automatically logged for review.

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