Every flight result,
validated before you act.
Every fare and schedule result is verified as one consistent flight record, scored, and checked before it reaches your agent, your booking flow, or your customer. One endpoint. One flat price. No human in the loop.
$0.002 a query reads differently
depending on what you're building
Same flat rate. For a model, it's the cheapest way to stop guessing. For an OTA, it's the cheapest line item on the P&L.
The cheapest verified call your model will ever make.
A hallucinated fare costs you a refund, a support ticket, and a user. A validated one costs $0.002 — less than the tokens your model burns asking the question. Cheapest per call, verified on every call. Stop paying for retries on data you couldn't trust.
Ten thousand searches a day. Twenty dollars a day.
You already run thousands of searches an hour. At $0.002 flat, validating every one of them costs less than the engineering time you spend explaining a single mispriced itinerary. No tier breakpoints. No volume penalty. No renegotiation at scale.
Self-service, end to end.
Nobody has to approve you.
Access is not a conversation. Create an account, generate a key, and you are in production — the same path whether you are one engineer prototyping an agent or an OTA cutting over a search tier.
Sign up
Email or SSO. No procurement form, no use-case questionnaire, no waitlist to join.
Key issued instantly
A live production key plus a sandbox key, scoped and rotatable from the dashboard the moment you land.
First validated call
One REST endpoint. An MCP server for agent runtimes is coming soon. Billing starts at your first query — not before.
Migrating off a legacy self-service flight API?
If you are running on Amadeus Self-Service or a comparable tier, flightapi.ai is designed as a like-for-like swap: the same search, offer and availability primitives, returned in a stable JSON schema — with a confidence score attached to every result and flat per-query pricing instead of tiered quotas. Keep your key management, change your base URL.
Simple enough to integrate before lunch
One call in, one verified answer out — with the confidence score your system needs to decide whether to act.
# One endpoint. Your existing search params. A verified answer. curl https://api.flightapi.ai/v1/validate \ -H "Authorization: Bearer $FLIGHTAPI_KEY" \ -d '{"origin":"NRT","destination":"SFO","date":"2026-11-04"}' { "verified": true, "confidence": 0.97, // act, or escalate — your call "fare": { "total": 812.40, "currency": "USD" }, "carrier_state": "verified", "signature": "sha256:9f2c…a41b", // auditable, replayable "validated_at": "2026-07-28T09:14:22Z", "billed": 0.002 }
Flight data isn't the bottleneck.
Trusting it is.
Raw flight APIs return data. They don't tell you whether that data is still true. For a human glancing at a results page, that's tolerable. For an autonomous agent booking on a user's behalf, or an enterprise system committing inventory at scale, an unverified result is a liability.
Agents can't ask "are you sure?"
An LLM-driven booking agent acts on the first plausible answer it receives. If that answer is stale or malformed, it commits anyway — there's no human in the loop to catch it.
Scale amplifies small errors
At enterprise volume, a 0.3% integrity gap isn't a rounding error — it's thousands of mispriced or unavailable itineraries shown to real customers every single day.
Fresh and correct aren't the same
Most flight APIs optimise for "recent." Few optimise for "correct." flightapi.ai is built entirely around the second problem — validation, not just retrieval.
Every result passes through the same verification substrate
FlightAPI's verification engine sits between raw carrier data and your application — matching, cross-checking and scoring every response before it is returned.
Ingest
Structured queries enter through a single validation endpoint — flights, fares, or combined itinerary checks.
Cross-reference
Results are matched against verified flight records and, where confidence requires it, re-checked against carrier schedule data.
Score
Each result gets a confidence score based on recency, source agreement, and historical accuracy for that route.
Return, signed
Only results above threshold return as "verified." Everything is timestamped and auditable — no black box.
Two kinds of builder need this layer
Different reasons, identical requirement: results your system can act on without a human checking first.
For agents that book, not just browse
LLM and agent platforms building travel tool-use need results that are safe to act on autonomously — structured, scored, and stable enough to sit behind a function call.
For platforms that can't afford to be wrong at scale
Global OTAs, metasearch and distribution platforms use flightapi.ai as a validation tier — checking primary GDS output or filling coverage gaps without adding integration risk.
Your customers shop 18 times.
They book once.
Every shopper runs a dozen or more searches before they reach checkout — changing dates, comparing carriers, reloading. On legacy per-transaction pricing you pay a premium rate for every one of those looks. Use flightapi.ai for the shopping and save the expensive call for the moment money changes hands.
less spent on traffic that was never going to convert. Same coverage, same schemas, every result validated — you simply stop paying premium rates for window shopping.
The difference between an answer
and a true answer.
Without a validation layer, a model has to reconstruct flight prices from whatever it can scrape — stale OTA pages, cached results, forum posts — and fill the gaps itself. One $0.002 call replaces all of it with a signed, scored answer.
origin="NRT" destination="ICN"
month="2026-12" sort="fare_asc"
What validating everything actually costs you
Move the slider to your real daily search volume. There is no tier to cross and no rate that changes.
Not a faster API. A different guarantee.
Generic flight search APIs are built to return data quickly. flightapi.ai is built to return data your system can trust without checking it twice.
Flat-rate infrastructure pricing.
No tier games.
Both tracks are self-serve. Start on Standard with no commitment, or go straight to Infrastructure if you already know your volume.
For AI agent platforms and enterprise travel companies validating at volume.
For teams and individual builders validating flight data without committed volume.
Top-ups buy prepaid API credits: $0.005 per credit on Standard, $0.002 on Infrastructure, 1 credit per call.
Built to survive procurement review
SOC 2 Type II — in progress
Formal audit underway. Interim security documentation available under NDA for enterprise evaluation.
Encrypted in transit & at rest
TLS 1.3 for all traffic; stored data encrypted at rest on managed infrastructure.
Full audit trail
Every validated response is signed and retrievable for dispute resolution or compliance review.
Dedicated capacity option
Infrastructure Track customers can provision isolated throughput outside the shared pool.
Give your system results it never has to double-check.
Create an account, generate a key, and validate your first query in under a minute. From $0.002 each.