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Challenge

Build a Public Service Eligibility & Benefit Routing Agent with Claude Agents SDK

Citizens navigating family milestones need automated cross-agency service recommendations under Smart Nation initiatives like LifeSG. Build an autonomous agent using the Claude Agents SDK that ingests citizen profiles, evaluates eligibility rules, and generates personalized application workflows.

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Challenge brief

What you are building

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

Build a citizen workflow agent using Claude Agents SDK to evaluate milestone benefits and automate multi-agency application payloads.

Delivery guide

How work is evaluated

Evaluation

Evaluates Claude Agents SDK agent accuracy in determining citizen benefit eligibility and producing valid multi-agency submission schemas.

Datasets

Challenge datasets

Public datasets, plus the private datasets you have access to.

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

baby_bonus_eligibility_pass

Ensures newborn profile triggers Baby Bonus eligibility inclusion

Binary check

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

Dimension 2

grant_calc_precision

Estimated grant total accuracy against government baseline matrix • 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

  • Build complex autonomous agents using the Claude Agents SDK

  • Leverage extended thinking capabilities for multi-step eligibility reasoning

  • Parse public scheme rules across health, housing, and childcare domains

  • Construct multi-agency API submission payloads for government services

Resources and assets

Reference links and supporting material

Dataset notes

Synthetic citizen demographic profiles and Singapore milestone grant benefit rules.

Challenge setup

Evaluates Claude Agents SDK agent accuracy in determining citizen benefit eligibility and producing valid multi-agency submission schemas.

Challenge input

JSON object with household_income_sgd, num_children, housing_type, newborn_date

Claude Agents SDK

Enables extended thinking and native tool loops with Claude

Evaluated output

JSON object with eligible_schemes array, total_estimated_grant_sgd, and action_plan steps

Evaluation checks
  • Ensures newborn profile triggers Baby Bonus eligibility inclusion
  • Estimated grant total accuracy against government baseline matrix • target: 0.98 • range: 0-1
Configured evaluation evidence
  • Benchmark: GovService-Bench-2026
  • Grant Calc Precision target: 0.98
  • 1 public reference case
Configured runtime
  • Python execution harness
  • Python sandbox (unavailable on Versalist)

Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.

View technical recipe

Configured tools

Action Space
  • Zed · Required
  • BeeAgent · Optional
Observation
  • Langfuse · Optional
Reward / Eval
  • Langfuse · Optional

Evaluation contract

  • baby_bonus_eligibility_pass · Weight 1
  • grant_calc_precision · Weight 1

Metrics

  • grant_calc_precision · Target 0.98

Benchmarks

  • GovService-Bench-2026
  • general

Reference cases

  • 1 public reference case

Workflow tasks

  1. Task 1

    Input: JSON object with household_income_sgd, num_children, housing_type, newborn_date

    Output: JSON object with eligible_schemes array, total_estimated_grant_sgd, and action_plan steps

    Execution harness: Python

Evaluation tools

  • Claude Agents SDK · Agent Orchestration SDK

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Build a Public Service Eligibility & Benefit Routing Agent with Claude Agents SDK