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Challenge

Build a Cross-Border Corporate Parent Consolidation Pipeline

Query cross-border payment counterparties against the GLEIF API to identify ultimate accounting parents. Consolidate transaction exposures across child entities to calculate aggregate corporate family risk limits.

CybersecurityHosted by Vera
Challenge brief

What you are building

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

Query cross-border payment counterparties against the GLEIF API to identify ultimate accounting parents. Consolidate transaction exposures across child entities to calculate aggregate corporate family risk limits.

Financial Risk Analyst

Ingest payment logs featuring diverse subsidiary counterparties and transaction values.

Query the GLEIF API to retrieve parent and ultimate accounting parent LEI relationships.

Aggregate transaction values grouped by the resolved ultimate parent entity identifier.

Export a corporate family exposure report comparing consolidated volumes against assigned risk limits.

Exposure dashboard displaying child entities rolled up under their ultimate parent LEIs with aggregated volume metrics.

Generate synthetic transaction logs for corporate subsidiaries mapped to GLEIF Golden Copy hierarchy reference data. Starter examples below are synthetic. They are not downloaded records.

GLEIF API Utilize GLEIF API corporate structures search to find parent and child relationships as described in source 0.

mastra-ai, pandas, httpx. Mastra AI provides deterministic workflow orchestration to chain external REST API hierarchy resolution steps with exposure aggregators. Hosted language model for matching entity name variations and formatting hierarchical data arrays.

Submit runnable source, pinned dependencies, setup commands, a working interface, example outputs, and a recorded end-to-end demo. Include tests and an action log.

Queries GLEIF API parent search endpoint using subsidiary LEI parameters.

Aggregates transaction values correctly across multiple subsidiary entities under the same parent.

Generates a structured consolidation JSON artifact highlighting parent exposure against predefined thresholds.

```json [ { "input": { "subsidiary_lei": "111100XYZ", "transaction_amount": 50000, "parent_risk_limit": 100000, "existing_parent_exposure": 20000 }, "expected_output": { "ultimate_parent_lei": "999900ABC", "consolidated_amount": 70000, "limit_breached": false, "record_type": "Simplified synthetic app records, not complete official schema files" } }, { "input": { "subsidiary_lei": "222200XYZ", "transaction_amount": 200000, "parent_risk_limit": 100000, "existing_parent_exposure": 50000 }, "expected_output": { "ultimate_parent_lei": "999900ABC", "consolidated_amount": 250000, "limit_breached": true, "record_type": "Simplified synthetic app records, not complete official schema files" } } ] ```

Processes synthetic payment instructions only. No live banking systems, fund settlement rails, or real financial exposures are accessed. Use mock external writes. Require human review before any real deployment.

Rules

Participation guide

Processes synthetic payment instructions only. No live banking systems, fund settlement rails, or real financial exposures are accessed. Use mock external writes and human review.

Delivery guide

How work is evaluated

Evaluation

Queries GLEIF API parent search endpoint using subsidiary LEI parameters. Aggregates transaction values correctly across multiple subsidiary entities under the same parent. Generates a structured consolidation JSON artifact highlighting parent exposure against predefined thresholds.

Submission format

Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.

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
1 pass or fail dimensions
Ordinal
3 scaled dimensions
Dimension 1

Complete workflow

Ingest payment logs featuring diverse subsidiary counterparties and transaction values. Query the GLEIF API to retrieve parent and ultimate accounting parent LEI relationships. Aggregate transaction values grouped by the resolved ultimate parent entity identifier. Export a corporate family exposure report comparing consolidated volumes against assigned risk limits.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 2

Correctness and evidence

Queries GLEIF API parent search endpoint using subsidiary LEI parameters. Aggregates transaction values correctly across multiple subsidiary entities under the same parent. Generates a structured consolidation JSON artifact highlighting parent exposure against predefined thresholds.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 3

Review interface

Exposure dashboard displaying child entities rolled up under their ultimate parent LEIs with aggregated volume metrics.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 4

Safe execution

Processes synthetic payment instructions only. No live banking systems, fund settlement rails, or real financial exposures are accessed.

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

  • Ingest payment logs featuring diverse subsidiary counterparties and transaction values.

  • Query the GLEIF API to retrieve parent and ultimate accounting parent LEI relationships.

  • Aggregate transaction values grouped by the resolved ultimate parent entity identifier.

  • Export a corporate family exposure report comparing consolidated volumes against assigned risk limits.

Resources and assets

Reference links and supporting material

Dataset notes

Generate synthetic transaction logs for corporate subsidiaries mapped to GLEIF Golden Copy hierarchy reference data. Supplied starter examples are synthetic, not source extracts.

Challenge setup

Configuration summary for this challenge.

Challenge input

Input details are not configured.

Mastra AI

TypeScript agent framework.

Evaluated output

No output checks are configured.

Evaluation checks
  • Ingest payment logs featuring diverse subsidiary counterparties and transaction values. Query the GLEIF API...
  • Queries GLEIF API parent search endpoint using subsidiary LEI parameters. Aggregates transaction values cor...
  • Exposure dashboard displaying child entities rolled up under their ultimate parent LEIs with aggregated vol...
Configured evaluation evidence
  • 2 public reference cases
Configured runtime
  • 2 configured tools

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
  • Mastra AI · Optional
Orchestration
  • Mastra AI · Optional

Evaluation contract

  • Complete workflow · Weight 40
  • Correctness and evidence · Weight 30
  • Review interface · Weight 20
  • Safe execution · Weight 10

Reference cases

  • 2 public reference cases

Workflow tasks

No workflow tasks are configured.

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Build a Cross-Border Corporate Parent Consolidation Pipeline