AgentRoam
Buy travel eSIMs with crypto
- Category
- Travel & Hospitality
- Primary Subcategory
- Traveler Services & Connectivity
Integration details
Description
AgentRoam helps travelers find and buy travel eSIM data plans with stablecoins and crypto. Choose your destination, compare available plans, pay from your wallet, and receive your eSIM setup details by email after checkout. You can also explore crypto-friendly travel gift cards and airtime top-ups. AgentRoam is built for both travelers and AI agents, with MCP support for searching destinations, comparing plans, preparing checkout quotes, and tracking order status with user confirmation before purchase.
- Integration type
- Plugin
- Verification status
- Not applicable
- Platform
- ChatGPT
- Primary Subcategory
- Traveler Services & Connectivity
- Secondary Subcategories
- None listed
- Brand
- AgentRoam
- Access
- No account required
- First tracked
- 2026-09-05
- Tool count
- 11
- Geography
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
ChatGPT Plugin Discovery Score
ChatGPT Plugin discovery is coming soon
ChatGPT can surface a Plugin when it matches a user's request.Your Plugin Discovery Score measures how often yours appears.
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What discovery looks like

Competing in ChatGPT Traveler Services & Connectivity
View Category11 tools agents can invoke
How do I improve a ChatGPT Plugin's discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
What are AgentRoam alternatives on ChatGPT?
As of 2026-09-07, AgentRoam competes with BNESIM, Bytetravel, Get My eSIM, Jumpseat, Milepoint, Skyalo Travel Guide, 이심통 in ChatGPT Traveler Services & Connectivity, ranked by public Discoverability Score.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.