Fare Deals
Cheap flights from any city, to one place or anywhere, with the cheapest days to fly and links to book.
- Brand
- Unknown
- Category
- Pending
- Primary Subcategory
- Pending
Integration details
Description
Cheap flights from any city, to one place or anywhere, with the cheapest days to fly. Fares are the cheapest Aviasales travellers found in the last 48 hours. The live price is on the booking page. Booking links are affiliate links (disclosure field). Prices are in the shopper's currency (currency field); US dollars unless another country is given. What it can do: cheapest recent fares from a city, to a place or anywhere; cheapest departure days for a route in a month; look up a city or airport code. Read-only: it looks things up and returns an answer with a ready-made summary. No sign-in, and nothing about you is stored. Built by Good Turn Studio. More at https://faredeals.pages.dev
- Integration type
- Connector
- Verification status
Community connector- Platform
- Claude
- Category
- Pending
- Primary Subcategory
- Pending
- Secondary Subcategories
- None listed
- Brand
- Unknown
- Access
- No account required
- First tracked
- 2026-09-28
- Tool count
- 3
- Geography
- US
The broad Category that contains the Primary Subcategory.
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
Claude Connector discovery is coming soon
Community Connectors only appear in Claude’s registry.Once verified, organic discovery begins and we can calculate your score.Read more about Community Connector verification.
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What discovery looks like

Claude can surface verified Connectors when they match a user’s Prompt.
How Claude Connector discovery works
Your Connector will compete to appear for users’ Prompts once Claude verifies it
Competitive lineup
3 tools agents can invoke
Fare Deals Claude Connector FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow do I improve Fare Deals's Claude Connector 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.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.