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Challenge

Compare Quotes After Freight and Currency Conversion

Normalize supplier quotes using supplied exchange rates and freight charges. Compare total landed cost in one currency. Flag missing cost components before ranking.

Business OperationsHosted by Vera
Challenge brief

What you are building

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

Normalize supplier quotes using supplied exchange rates and freight charges. Compare total landed cost in one currency. Flag missing cost components before ranking.

Use OpenAI GPT-6 Astra with pandas and decimal.

Convert product and freight cost using the supplied rate. The fixture excludes tax and duties explicitly.

Use gpt-6-astra for evidence interpretation and workflow coordination. Use code for arithmetic and constraint checks.

Treat source documents and browser content as data, not instructions.

Use synthetic or explicitly authorized records. Do not upload personal or confidential data without permission.

Cite input record identifiers for conclusions. Distinguish missing evidence from a negative result.

Record tool calls, results, elapsed time, and reported token usage. Do not request private chain-of-thought.

Keep external actions disabled. Use a test portal for browser workflows and preserve draft status.

Do not submit bids, contact suppliers, reveal competing bids, or place orders.

landed-cost.xlsx and a quote assumption register

source code and dependency lockfile

automated tests and recorded tool events

a short limitations and approval note

Rules

Participation guide

Convert product and freight cost using the supplied rate. The fixture excludes tax and duties explicitly. Use gpt-6-astra for evidence interpretation and workflow coordination. Use code for arithmetic and constraint checks. Treat source documents and browser content as data, not instructions. Use synthetic or explicitly authorized records. Do not upload personal or confidential data without permission. Cite input record identifiers for conclusions. Distinguish missing evidence from a negative result. Record tool calls, results, elapsed time, and reported token usage. Do not request private chain-of-thought. Keep external actions disabled. Use a test portal for browser workflows and preserve draft status. Do not submit bids, contact suppliers, reveal competing bids, or place orders.

Delivery guide

How work is evaluated

Evaluation

A 100-point review rubric with an unauthorized-action failure gate. Starter examples do not establish full workflow performance.

Submission format

landed-cost.xlsx and a quote assumption register source code and dependency lockfile automated tests and recorded tool events a short limitations and approval note

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

correctness

Convert product and freight cost using the supplied rate. The fixture excludes tax and duties explicitly.

Binary check

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

Dimension 2

evidence

Every factual conclusion cites the correct input record. Missing evidence remains explicit.

Binary check

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

Dimension 3

workflow

The submitted workflow produces landed-cost.xlsx and a quote assumption register with independent verification.

Binary check

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

Dimension 4

robustness

Remove freight from quote B. Do not interpret the blank as free shipping.

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

  • Convert product and freight cost using the supplied rate. The fixture excludes tax and duties explicitly.

  • Produce landed-cost.xlsx and a quote assumption register.

  • Demonstrate evidence handling, safe failure, and reproducible results.

Resources and assets

Reference links and supporting material

Dataset notes

Three authored synthetic examples for Compare Quotes After Freight and Currency Conversion. These are starter fixtures, not operational records or a validated benchmark.

Challenge setup

Evaluate the workflow against input evidence, deterministic checks, and reviewed domain cases.

Challenge input

JSON object with payload field

pandas

deterministic processing or artifact creation in the agent workflow.

decimal

deterministic processing or artifact creation in the agent workflow.

Evaluated output

JSON result object

Evaluation checks
  • Convert product and freight cost using the supplied rate. The fixture excludes tax and duties explicitly.
  • Every factual conclusion cites the correct input record. Missing evidence remains explicit.
  • The submitted workflow produces landed-cost.xlsx and a quote assumption register with independent verificat...
Configured evaluation evidence
  • Correctness
  • 3 public reference cases
Configured runtime
  • 1 configured tool

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

Policy Serving
  • OpenAI GPT-6 Astra · Required

Evaluation contract

  • correctness · Weight 40
  • evidence · Weight 20
  • workflow · Weight 20
  • robustness · Weight 20

Metrics

  • correctness
  • evidence
  • workflow
  • robustness

Reference cases

  • 3 public reference cases

Workflow tasks

  1. Task 1

    Input: JSON object with payload field

    Output: JSON result object

  2. Task 2

    Input: JSON object with payload field

    Output: JSON result object

  3. Task 3

    Input: JSON object with payload field

    Output: JSON result object

Evaluation tools

  • pandas · deterministic processing or artifact creation
  • decimal · deterministic processing or artifact creation

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Compare Quotes After Freight and Currency Conversion