Flight data APIs can give insurers an independent operational record for verifying delay, cancellation, diversion, and arrival-related claims. They can also support underwriting, portfolio monitoring, and exception review. The insurer still owns the policy terms, claim decision, and customer communication.
This guide focuses on how aviation data fields map to insurance workflows. It does not replace policy wording, regulatory requirements, claims procedures, or professional judgment.
What can flight data verify?
Depending on data availability and the policy definition, useful fields may include:
| Data group | Example fields | Workflow use |
|---|---|---|
| Flight identity | Flight number, airline, date, origin, destination | Match the claim to the correct operating record |
| Timing | Scheduled, estimated, actual departure and arrival | Compare events with policy thresholds |
| Status | Delay, cancellation, diversion, return, departure, arrival | Classify operational events for review |
| Airport context | Airport, terminal, gate and baggage information where available | Support event reconstruction and service workflows |
| Historical signals | Punctuality, delay and cancellation patterns | Provide underwriting and portfolio context |
Availability, update frequency, historical depth and field definitions should be validated for the routes and policies covered. A data match is evidence for a workflow; it is not automatically a claims decision.
How does claims verification work?
- Identify the flight: match flight number, airline, date, origin and destination. Codeshare and operating-flight relationships may require mapping.
- Retrieve events: obtain scheduled, estimated and actual times plus delay, cancellation, diversion or return status where available.
- Apply policy logic: compare verified events with coverage conditions, exclusions, waiting periods and thresholds.
- Route exceptions: send unmatched flights, incomplete records or conflicting fields to manual review.
- Record evidence: retain query time, response fields and decision path for audit.
How can insurers use flight data beyond claims?
Underwriting and product design
Historical punctuality, cancellation, route, airport and seasonal patterns can inform product assumptions when combined with loss experience, exposure data and regulatory requirements.
Portfolio monitoring
Aggregated flight and route data can help identify concentration by airport, region, airline, route or travel period. It should support analysis rather than replace underwriting judgment.
Fraud and exception review
Independent flight records can flag a date, route or flight number that does not match a claim. An exception should trigger investigation, not an automatic accusation or denial.
Reinsurance and broker support
Aggregated and historical aviation data can support portfolio discussions, scenario analysis and client reporting, subject to permissions and applicable governance requirements.
What should insurers test before choosing an API?
- Identity matching: flight number, date, airline, route and codeshare mapping.
- Event definitions: clear meanings for delay, cancellation, diversion, return, departure and arrival.
- Timeliness: update frequency and historical availability.
- Coverage: target airlines, airports, routes and regions.
- Missing-data behavior: documented handling for unavailable or conflicting fields.
- Auditability: timestamps, response history and stable identifiers.
- Security and governance: access controls, retention, support and integration requirements.
How does VariFlight DataWorks support insurance workflows?
VariFlight DataWorks Real-Time Flight Status Data provides operational fields such as scheduled, estimated and actual times, flight status, airport context and aircraft information. Historical flight-status data and related airport or weather signals can add context where available.
VariFlight states that its platform covers 97% of commercial flights, with data from more than 1,200 airlines and 10,000 airports. Insurers should confirm current coverage, field availability and update behavior for their own routes before relying on those figures in production planning.
DataWorks provides aviation data inputs. The insurer remains responsible for policy interpretation, claims adjudication, customer communication, compliance and protection of personal information in its own systems.
Example: mapping data to a delay claim
For a policy covering delays beyond a defined threshold, the insurer can match the claim to a flight, retrieve scheduled and verified operational times, calculate duration according to the policy definition, check exclusions, and route exceptions to an adjuster. The system should show which flight was matched, which fields were used, when data was retrieved and which rule produced the result.
Frequently asked questions
Can an API approve claims automatically?
It can support automated checks for clearly defined cases, but the insurer must decide whether automation is appropriate under its policy, regulatory and internal-control requirements.
Does flight data replace policy documents or customer evidence?
No. It provides an operational evidence layer. Other documents or customer evidence may still be required.
Can historical flight data support underwriting?
Yes, as one input. Check its coverage, representativeness, schedule changes and consistency with the insurer’s own loss and exposure data.
What happens when a flight cannot be matched?
Use a documented fallback: request more information, try an approved alternate identifier or route the case to manual review. Missing data should not be treated as proof that an event did not occur.
How to start a controlled evaluation
Use a representative sample of claims or routes. Define target fields, matching rules, policy thresholds, exception categories, audit requirements and success measures before connecting the API to production.
References
- VariFlight DataWorks Real-Time Flight Status Data
- Swiss Re SONAR emerging risk research
- IATA airline distribution resources
Last updated: September 2026
