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Build an Actuarial Climate Risk Evaluation Engine with Mastra AI and Claude 4 Sonnet — evaluation

Evaluates Mastra AI workflow output quality against standard actuarial climate loss projection benchmarks.

Evaluation type
task based
Challenge
Build an Actuarial Climate Risk Evaluation Engine with Mastra AI and Claude 4 Sonnet
Difficulty
Advanced
Rigor
Not declared

The author has not specified a rigor level.

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Evaluation overview

How the linked challenge is judged: tasks, benchmarks, and criteria count.

Tasks
1
Benchmarks
0
Criteria
0

Task templates

Inputs and expected outputs.

Task 1

actuarial_climate_assessment

Evaluate commercial property elevation, flood risk zone, and calculate Expected Annual Loss (EAL)

Input format

JSON object with asset_location, structural_value_usd, sea_level_rise_scenario_m

Output format

JSON object with risk_tier, expected_annual_loss_usd, and mas_compliance_summary