This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Add airline-website fare observations to your travel app, analytics or AI agent without maintaining each collection workflow yourself. HTTP API and MCP return structured JSON with capture time, passenger context and price basis. Launching as a scoped developer pilot; confirm coverage before collection.
Hi Product Hunt — I'm Miguel, the maker of Farelint.
Living in Cyprus, I kept struggling to find flights off the island and felt I was paying more than I should. That started as a consumer problem, but led me toward the data behind travel products.
Farelint is an airline-data API for travel software, analytics teams and AI agents. Specify an airline, route, dates and passengers, then inspect structured fare observations through HTTP or MCP.
The useful part is the context around the price:
• When it was captured and which trip was requested
• Original currency and whether the price is per adult, a party total or a supplement
• Complete, partial and failed collection outcomes
• Missing fields that stay explicit rather than being guessed
The gallery includes a saved pilot capture from 30 October 2026 and the MCP setup docs; the sample fare is not a current quote.
This launch is an early developer pilot. The docs and example JSON are public. We confirm the airline, route and request shape before activating live collection. We have tested limited workflows for Ryanair, easyJet, AEGEAN, Emirates and Qatar Airways; that does not mean every route or passenger combination is supported.
Farelint supplies observations, not ticketing or checkout-guaranteed fares. The first goal is a small integration that a team can evaluate against its real requirements.
If you build a travel app or AI agent, or work with airfare data, what is missing from your current sources? Which airline, route, fields and freshness requirement would make a pilot useful?
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About Farelint on Product Hunt
“Airline fare data API and MCP for builders”
Farelint was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #232 on the daily leaderboard. Add airline-website fare observations to your travel app, analytics or AI agent without maintaining each collection workflow yourself. HTTP API and MCP return structured JSON with capture time, passenger context and price basis. Launching as a scoped developer pilot; confirm coverage before collection.
Farelint was featured in API (98.8k followers), Developer Tools (522.6k followers) and Artificial Intelligence (483k followers) on Product Hunt. Together, these topics include over 240.5k products, making this a competitive space to launch in.
Who hunted Farelint?
Farelint was hunted by Miguel Dias. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Miguel Dias
Hi Product Hunt — I'm Miguel, the maker of Farelint.
Living in Cyprus, I kept struggling to find flights off the island and felt I was paying more than I should. That started as a consumer problem, but led me toward the data behind travel products.
Farelint is an airline-data API for travel software, analytics teams and AI agents. Specify an airline, route, dates and passengers, then inspect structured fare observations through HTTP or MCP.
The useful part is the context around the price:
• When it was captured and which trip was requested
• Original currency and whether the price is per adult, a party total or a supplement
• Complete, partial and failed collection outcomes
• Missing fields that stay explicit rather than being guessed
The gallery includes a saved pilot capture from 30 October 2026 and the MCP setup docs; the sample fare is not a current quote.
This launch is an early developer pilot. The docs and example JSON are public. We confirm the airline, route and request shape before activating live collection. We have tested limited workflows for Ryanair, easyJet, AEGEAN, Emirates and Qatar Airways; that does not mean every route or passenger combination is supported.
Farelint supplies observations, not ticketing or checkout-guaranteed fares. The first goal is a small integration that a team can evaluate against its real requirements.
If you build a travel app or AI agent, or work with airfare data, what is missing from your current sources? Which airline, route, fields and freshness requirement would make a pilot useful?
Explore the data: https://farelint.com/airline-fare-data-api
MCP integration: https://farelint.com/flight-data-mcp
I'd love your feedback, especially on the data contract and the first sources worth expanding.