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Challenge

Exclusive Rental Listing Automated Syndication & Fee Model Validator

Following legislation banning tenant-paid broker fees, brokerages are transitioning to direct landlord exclusive listing retainers. Construct an automated listing syndication and legal fee validator using FastAPI and Pydantic to filter and publish listing feeds. Ensure 100% verification that listing feeds disclose landlord-paid representation.

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Challenge brief

What you are building

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

Build a FastAPI listing syndication service to validate listing fee structures and automatically enforce landlord-paid disclosures.

Delivery guide

How work is evaluated

Evaluation

Evaluates API HTTP response codes and verification flags on non-compliant syndication feed submissions.

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

rejection_pass

Ensures illegal tenant fee payload is rejected with 422.

Binary check

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

Dimension 2

validation_accuracy

Accuracy in classification of feed compliance. • target: 1 • 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

  • Develop high-throughput REST API endpoints using FastAPI for rental syndication ingestion

  • Enforce strict Pydantic payload models validating listing fee parameters

  • Reject listings that attempt to pass broker commission charges to prospective tenants

  • Generate standardized MLS/IDX feed outputs complying with landlord-paid listing rules

Resources and assets

Reference links and supporting material

Dataset notes

Dataset of rental syndication API payloads containing both valid landlord-paid representations and non-compliant tenant-fee listings.

Challenge setup

Evaluates API HTTP response codes and verification flags on non-compliant syndication feed submissions.

Challenge input

JSON object with listing_id, monthly_rent, landlord_commission_paid (boolean), tenant_fee_amt

FastAPI

Standard Python REST API framework.

Evaluated output

JSON object with status_code, feed_accepted (boolean), reason

Evaluation checks
  • Ensures illegal tenant fee payload is rejected with 422.
  • Accuracy in classification of feed compliance. • target: 1 • range: 0-1
Configured evaluation evidence
  • Benchmark: APIValidationBench
  • Validation Accuracy target: 1
  • 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
  • Retell AI · Required
  • Ellipsis · Optional
  • Coval · Optional

Evaluation contract

  • rejection_pass · Weight 1
  • validation_accuracy · Weight 1

Metrics

  • validation_accuracy · Target 1

Benchmarks

  • APIValidationBench
  • general

Reference cases

  • 1 public reference case

Workflow tasks

  1. Task 1

    Input: JSON object with listing_id, monthly_rent, landlord_commission_paid (boolean), tenant_fee_amt

    Output: JSON object with status_code, feed_accepted (boolean), reason

    Execution harness: Python

Evaluation tools

  • FastAPI · Web Framework

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Exclusive Rental Listing Automated Syndication & Fee Model Validator