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Challenge

Claude Agents Heat Tracker: Parametric Thermal Risk Policy Engine

Chronic extreme heat in Europe threatens agricultural assets and infrastructure, requiring automated parametric payout triggers. Build a Claude Agents SDK system powered by Llama 3.3 70B to evaluate high-resolution Copernicus weather feeds and verify parametric triggers with 98% precision.

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Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Build an agentic parametric monitoring tool using Claude Agents SDK and Llama 3.3 70B to track European urban/agricultural heat indices and automate claim payouts.

Delivery guide

How work is evaluated

Evaluation

Evaluates parametric heat index calculation and automatic claim trigger execution accuracy.

Datasets

Shared data for this challenge

Review public datasets and any private uploads tied to your build.

Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

Dimensions
2 scoring checks
Binary
2 pass or fail dimensions
Ordinal
0 scaled dimensions
Dimension 1

trigger_logic_correctness

Ensures parametric triggers fire strictly when weather thresholds are met.

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Dimension 2

precision

Precision of parametric policy execution actions. • target: 0.98 • range: 0-1

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

What you should walk away with

  • Configure Claude Agents SDK extended thinking capabilities for numerical logic.

  • Incorporate Llama 3.3 70B for cost-efficient weather telemetry extraction.

  • Define parametric trigger metrics (e.g., >40°C for 3 consecutive days).

  • Validate policy payout actions with zero false positives.

Resources and assets

Reference links and supporting material

Dataset notes

Time-series daily temperature dataset across 50 European agricultural zones spanning summer heatwave periods.

How this agent runs

Evaluates parametric heat index calculation and automatic claim trigger execution accuracy.

Challenge input

JSON containing region_id, daily_max_temps_c (array), policy_threshold_temp, policy_required_days

Claude Agents SDK

Anthropic agent SDK for multi-step logical operations.

Llama 3.3 70B

Open-source high-performance LLM for structural data parsing.

Evaluated output

JSON containing trigger_met (boolean), consecutive_days_exceeded, payout_amount_usd

Checks for
  • Ensures parametric triggers fire strictly when weather thresholds are met.
  • Precision of parametric policy execution actions. • target: 0.98 • range: 0-1
Proof of success
  • Benchmark: Parametric Climate Trigger Benchmark
  • Precision target: 0.98
  • 1 public reference case
Runtime evidence
  • Python execution harness
  • Python sandbox (unavailable on Versalist)
View technical recipe

Configured tools

Action Space
  • Llama 3.3 70B · Required
  • Featherless AI · Optional
Policy Serving
  • DeepSeek R1 · Optional

Evaluation contract

  • trigger_logic_correctness · Weight 1
  • precision · Weight 1

Recipe state

This is a preview. The configuration can change before the evaluation recipe is locked.

Frequently Asked Questions about Claude Agents Heat Tracker: Parametric Thermal Risk Policy Engine