Airlines

Airline customer care agent supporting frontline teams in managing passenger booking servicing, changes and cancellations, ancillaries, payments, refunds, travel credits, check-in issues, complaints, and loyalty support.

150

Test cases

36

Agent tools

Domain agentic intelligence index

We test models on private, non-contaminated tasks.
Here's what we found.

Composite pass^5 score (%)
Last updated: April 6
Composite pass^5 score (%)
Last updated: April 6

Composite pass^5 score across Tool use evaluations (higher is better).
Error bars show 95% confidence intervals.

Scaling curves

K = 1…5 runs

pass^k — Consistency

% tasks passed in every one of k runs.

0%10%20%30%40%50%60%70%80%k=1k=2k=3k=4k=5
GPT-5.4
Sonnet 4.6
Gemini 3 Flash
Minimax
Kimi K2.5
0%10%20%30%40%50%60%70%80%k=1k=2k=3k=4k=5
GPT-5.4
Sonnet 4.6
Gemini 3 Flash
Minimax
Kimi K2.5

Task difficulty distribution

Tasks bucketed by aggregate success rate

Buckets show difficulty tiers based on aggregate of models results.

100%

0 of 150 tasks (0%)

0

75%+

1 of 150 tasks (1%)

1

50%+

49 of 150 tasks (33%)

49

25%+

98 of 150 tasks (65%)

98

0%

2 of 150 tasks (1%)

2

Example task

User Request

Correct Agent Solution

What Is Tested

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Airlines dataset available for purchase