ignav

Research

Fast REST API flight search via ignav.com. Cash prices, booking links, market selection for price arbitrage. Include in every flight search alongside Duffel and other sources.

QUICK START

How to use this skill

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Prompt to paste

I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/borski/travel-hacking-toolkit/blob/HEAD/plugins/travel-hacking-toolkit/skills/ignav/SKILL.md

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Flight Search via Ignav API

Fast REST API flight search at https://ignav.com. Returns structured JSON with prices, itineraries, and booking links. 1,000 free requests, no rate limit.

Setup

Get a free API key at https://ignav.com/signup (1,000 requests, no credit card).

Set IGNAV_API_KEY in your environment or .env file.

Workflow

Parse the user's request (origin, destination, dates, trip type, passengers, cabin)
Look up airport codes if user gave city names
Search flights (one-way or round-trip)
Present results in markdown table
Get booking links if user wants to book

Endpoints

Search Airports

curl -s "https://ignav.com/api/airports?q=Barcelona&limit=5" \
  -H "X-Api-Key: $IGNAV_API_KEY"

One-Way Flights

curl -s -X POST "https://ignav.com/api/fares/one-way" \
  -H "X-Api-Key: $IGNAV_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "origin": "SFO",
    "destination": "JFK",
    "departure_date": "2026-05-15",
    "adults": 1,
    "cabin_class": "economy"
  }'

Round-Trip Flights

curl -s -X POST "https://ignav.com/api/fares/round-trip" \
  -H "X-Api-Key: $IGNAV_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "origin": "SFO",
    "destination": "JFK",
    "departure_date": "2026-05-15",
    "return_date": "2026-05-20",
    "adults": 1,
    "cabin_class": "economy"
  }'

Booking Links

curl -s -X POST "https://ignav.com/api/fares/booking-links" \
  -H "X-Api-Key: $IGNAV_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"ignav_id": "the_itinerary_id", "adults": 1}'

Parameters

Parameter	Type	Description
`adults`	int	Number of adults (default: 1)
`children`	int	Number of children (default: 0)
`cabin_class`	string	`economy`, `premium_economy`, `business`, `first`
`max_stops`	int	0 (direct only), 1, or 2
`max_price`	int	Maximum price filter
`departure_time_range`	object	`{"earliest_hour": 8, "latest_hour": 20}`
`airlines_include`	array	Only these airline codes
`airlines_exclude`	array	Exclude these airline codes
`market`	string	Country code for pricing (default: "US"). Different markets return different prices.

Response Structure

Each itinerary contains:

price: {"amount": 299, "currency": "USD"}
outbound: carrier, duration_minutes, segments array
inbound: same (null for one-way)
cabin_class: the cabin class
bags: {"carry_on": 1, "checked": 0}
ignav_id: unique ID for booking links

Each segment: marketing_carrier_code, flight_number, departure_airport, departure_time_local, arrival_airport, arrival_time_local, duration_minutes, aircraft.

Output Format

Always use markdown tables.

#	Airline	Stops	Duration	Depart	Arrive	Price	Bags
1	Vueling	Nonstop	2h 15m	8:30 AM	10:45 AM	EUR 125	1 carry-on
2	Ryanair	Nonstop	2h 20m	6:15 AM	8:35 AM	EUR 89	1 carry-on

After the table, highlight cheapest, fastest, and best value. Call out tradeoffs. Offer booking links.

Notes

Dates are required for all searches
Default to round-trip and economy if not specified
Use airport search endpoint for city name lookups
Market affects prices. Same route can cost significantly less from a different market. Try departure country first, then destination country.
Does NOT include Southwest. Use google-flights skill for SW.