The best checkout APIs for AI agents in 2026

The agentic commerce space is moving fast. AI agents can now research, compare, and recommend products — but the last step, actually checking out, has been the bottleneck. A new wave of checkout APIs is solving this. Here's how they stack up.

What to look for in an agent checkout API

Before we compare, here's what matters:

• Retailer coverage — how many stores can the agent buy from?
• Reliability — does checkout actually complete, or does it fail on CAPTCHAs and bot detection?
• Payment model — credit cards (agent-hostile) or crypto/stablecoin (agent-native)?
• Latency — how fast from request to order confirmation?
• Developer experience — SDK, MCP server, CLI, documentation quality?
• Agent integration — does it work with Claude Code, Cursor, OpenClaw, etc?

1. AgentMall

The agent-first checkout API.

AgentMall is built specifically for AI agents. One POST request with a product URL, shipping address, and budget — we handle checkout, shipping selection, and order updates. No browser automation, no scraping. Direct retailer integrations.

• Retailers: Amazon, Walmart, Target, Best Buy, Home Depot, eBay, Lowe's, Wayfair, Ace Hardware, 1-800-Flowers, Pokemon Center (11 retailers, 500M+ products)
• Payment: USDC via MPP — no API keys, no signup
• Reliability: 99%+ for valid products and addresses (no browser to break)
• Latency: Order submitted in seconds, processing in 5-10 minutes
• Integration: REST API, MCP server, Claude Code skill, OpenClaw skill, CLI
• Pricing: Product cost + $1.50 per order. Automatic refunds for price differences.

$ npx agentmall https://amazon.com/dp/B0DDQJLVJW

Best for: Any AI agent that needs to buy from major US retailers. Zero setup, agent-native payments.

2. Rye

Browser automation checkout at scale.

Rye takes a different approach — they use AI-powered browser automation to complete checkout on any web store. Their system navigates merchant sites, fills forms, and completes purchases programmatically.

• Retailers: Any web store (no retailer-specific integrations needed)
• Payment: Tokenized credit card processing (agent provides payment token)
• Reliability: 90%+ order completion (browser automation has inherent failure modes)
• Latency: Sub-35 second offer resolution, ~10 second checkout
• Integration: REST API
• Pricing: Not publicly disclosed

Strengths: Works on any store, not limited to specific retailers. Good for long-tail merchants that APIs like AgentMall don't cover.

Weaknesses: Browser automation means CAPTCHAs, bot detection, and dynamic UI changes can cause failures. Requires credit card tokenization (not agent-native). Higher failure rate than direct integrations.

Best for: Agents that need to buy from niche or long-tail stores outside the major retailers.

3. Nekuda

Merchant-side agentic commerce infrastructure.

Nekuda approaches the problem from the merchant side. They provide infrastructure for merchants to sell through AI platforms — ChatGPT, Gemini, shopping agents — while keeping control of their data and customer relationships.

• Retailers: Merchants on Shopify, WooCommerce, SAP, Salesforce Commerce Cloud, Adobe Commerce
• Payment: Through merchant's existing payment processor
• Reliability: Depends on merchant integration quality
• Latency: Varies by merchant
• Integration: Merchant-side SDK, ACP protocol support
• Pricing: Not publicly disclosed. Backed by Visa, Amex Ventures, Madrona.

Strengths: Merchant-first approach means better data control and brand experience. Supports multiple commerce platforms. Free developer tools (Protocol Scout, ACP Validator).

Weaknesses: Requires merchant adoption — agents can only buy from stores that have integrated Nekuda. Not a universal checkout for arbitrary product URLs. Doesn't solve the agent payment problem.

Best for: Merchants who want to expose their catalog to AI agents while maintaining control. Not for agents that need to buy from arbitrary retailers.

How they compare

| Feature | AgentMall | Rye | Nekuda |

|---------|-----------|-----|--------|

| Approach | Direct retailer API | Browser automation | Merchant middleware |

| Coverage | 11 major retailers | Any web store | Opted-in merchants |

| Payment | USDC/MPP (agent-native) | Credit card tokens | Merchant processor |

| Reliability | 99%+ | 90%+ | Varies |

| API keys needed | No | Yes | Yes |

| Agent integration | MCP, Skills, CLI | REST API | Merchant SDK |

| Setup time | 0 (no signup) | Account required | Merchant integration |

The bottom line

Each API solves a different piece of the puzzle:

• AgentMall if your agent needs reliable purchasing from major US retailers with zero setup and agent-native payments
• Rye if your agent needs to buy from niche stores that aren't covered by AgentMall's retailer list
• Nekuda if you're a merchant who wants AI agents to sell your products

For most agent developers, start with AgentMall for the major retailers (covers 80%+ of online shopping), and consider Rye for the long tail.

# Get started in one line
$ npx agentmall https://amazon.com/dp/B0DDQJLVJW

Read more: https://www.agentmall.sh/api-reference