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Challenge

Build an Embedded Payments Payload Validator with Google ADK

Embedded payment APIs handling complex enterprise B2B disbursements face severe schema mutation and payload injection risks. Build a Google Agent Development Kit (ADK) agent that parses, validates, and sanitizes complex embedded payment JSON payloads with 99.5% schema enforcement.

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Challenge brief

What you are building

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

Utilize Google ADK framework to construct an embedded payment payload validator and schema security proxy for B2B financial integrations.

Delivery guide

How work is evaluated

Evaluation

Evaluates schema enforcement accuracy and malicious payload containment precision.

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

injection_rejection_test

Must reject payloads containing SQL injection patterns.

Binary check

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

Dimension 2

schema_enforcement_accuracy

Accuracy score across test payment schemas. • target: 0.995 • range: 0.95-1

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

  • Deploy Google ADK validation agents for embedded payments

  • Implement multi-stage dynamic schema verification on enterprise payment calls

  • Sanitize malicious SQL/XSS/Prompt Injections embedded in payment metadata

  • Generate developer compliance logs for API integration partners

Resources and assets

Reference links and supporting material

Dataset notes

Dataset of 1,000 embedded payment JSON payloads including malformed fields and security exploit attempts.

Challenge setup

Evaluates schema enforcement accuracy and malicious payload containment precision.

Challenge input

JSON payload containing embedded transaction and developer metadata

Google ADK

Enables scalable enterprise cloud integration and API proxy setup.

Evaluated output

JSON validation status, sanitized payload, and security flags

Evaluation checks
  • Must reject payloads containing SQL injection patterns.
  • Accuracy score across test payment schemas. • target: 0.995 • range: 0.95-1
Configured evaluation evidence
  • Benchmark: API Security & Schema Benchmark
  • Schema Enforcement Accuracy target: 0.995
  • 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
  • Google · Required
  • Google ADK · Optional
  • Google Jules · Optional
Orchestration
  • Google Jules · Optional

Evaluation contract

  • injection_rejection_test · Weight 1
  • schema_enforcement_accuracy · Weight 1

Metrics

  • schema_enforcement_accuracy · Target 0.995

Benchmarks

  • API Security & Schema Benchmark
  • security

Reference cases

  • 1 public reference case

Workflow tasks

  1. Task 1

    Input: JSON payload containing embedded transaction and developer metadata

    Output: JSON validation status, sanitized payload, and security flags

    Execution harness: Python

Evaluation tools

  • Google ADK · Agent Framework

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Build an Embedded Payments Payload Validator with Google ADK