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Challenge

Build a BODS Circular Control Graph and Nominee Profiler

Evaluate corporate officer registers against BODS v0.4 nominee guidance to detect circular control links. Draft tailored nominee evidence packages and isolate graph cycles.

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Challenge brief

What you are building

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

Evaluate corporate officer registers against BODS v0.4 nominee guidance to detect circular control links. Draft tailored nominee evidence packages and isolate graph cycles.

Enhanced Due Diligence Analyst

Ingest simplified company shareholder registers and officer appointments formatted in BODS v0.4 syntax.

Execute cycle-detection algorithms to isolate circular holding networks.

Identify officers holding nominee roles based on external directorship counts and BODS criteria.

Generate serialized control cycle graphs and tailored nominee documentary evidence requests.

Interactive network graph viewer rendering isolated control loops and a panel for generated nominee evidence requests.

Assemble synthetic BODS v0.4 JSON datasets simulating offshore corporate registries with hidden control loops and known nominee profiles. Starter examples below are synthetic. They are not downloaded records.

Beneficial ownership modelling Employs BODS v0.4 nominee arrangement modeling requirements to identify professional nominees and parse unverified control loops.

dspy, networkx, pydantic. DSPy compiles robust prompt assertions to extract opaque nominee relationships and isolate graph cycles accurately. Requires multi-step logical deduction for graph cycle tracing; hosted Claude or local 32k context model.

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.

Accurately detects and isolates circular ownership loops within corporate holding structures.

Flags officers matching known professional nominee patterns under BODS rules.

Produces serialized Graphviz DOT code isolating the specific cycle paths.

Generates customized nominee disclosure questionnaires specifying required proof of ultimate instruction.

```json [ { "input": { "target_company": "Alpha Holdings", "officers": [ { "name": "Julian Vance", "external_directorship_count": 140 } ], "shares": [ { "holder": "Beta Group", "percentage": 100 } ], "related_entities": [ { "entity": "Beta Group", "shares": [ { "holder": "Alpha Holdings", "percentage": 100 } ] } ] }, "expected_output": { "has_cycle": true, "flagged_nominees": [ "Julian Vance" ], "cycle_diagram": "digraph { \"Alpha Holdings\" -> \"Beta Group\"; \"Beta Group\" -> \"Alpha Holdings\"; }", "requests": [ "Nominee Director Service Agreement" ] } }, { "input": { "target_company": "Solstice Energy Inc", "officers": [ { "name": "Elena Rostova", "external_directorship_count": 1 } ], "shares": [ { "holder": "Elena Rostova", "percentage": 85 } ], "related_entities": [] }, "expected_output": { "has_cycle": false, "flagged_nominees": [], "cycle_diagram": "digraph { \"Solstice Energy Inc\" -> \"Elena Rostova\"; }", "requests": [] } } ] ```

Provides advisory evidence gathering plans; does not execute regulatory enforcement actions or make formal legal accusations. Use mock external writes. Require human review before any real deployment.

Rules

Participation guide

Provides advisory evidence gathering plans; does not execute regulatory enforcement actions or make formal legal accusations. Use mock external writes and human review.

Delivery guide

How work is evaluated

Evaluation

Accurately detects and isolates circular ownership loops within corporate holding structures. Flags officers matching known professional nominee patterns under BODS rules. Produces serialized Graphviz DOT code isolating the specific cycle paths. Generates customized nominee disclosure questionnaires specifying required proof of ultimate instruction.

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 simplified company shareholder registers and officer appointments formatted in BODS v0.4 syntax. Execute cycle-detection algorithms to isolate circular holding networks. Identify officers holding nominee roles based on external directorship counts and BODS criteria. Generate serialized control cycle graphs and tailored nominee documentary evidence requests.

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

Accurately detects and isolates circular ownership loops within corporate holding structures. Flags officers matching known professional nominee patterns under BODS rules. Produces serialized Graphviz DOT code isolating the specific cycle paths. Generates customized nominee disclosure questionnaires specifying required proof of ultimate instruction.

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

Interactive network graph viewer rendering isolated control loops and a panel for generated nominee evidence requests.

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

Provides advisory evidence gathering plans; does not execute regulatory enforcement actions or make formal legal accusations.

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 simplified company shareholder registers and officer appointments formatted in BODS v0.4 syntax.

  • Execute cycle-detection algorithms to isolate circular holding networks.

  • Identify officers holding nominee roles based on external directorship counts and BODS criteria.

  • Generate serialized control cycle graphs and tailored nominee documentary evidence requests.

Resources and assets

Reference links and supporting material

Dataset notes

Assemble synthetic BODS v0.4 JSON datasets simulating offshore corporate registries with hidden control loops and known nominee profiles. Supplied starter examples are synthetic, not source extracts.

Challenge setup

Configuration summary for this challenge.

Challenge input

Input details are not configured.

DSPy

Prompt and LM program optimization framework.

Evaluated output

No output checks are configured.

Evaluation checks
  • Ingest simplified company shareholder registers and officer appointments formatted in BODS v0.4 syntax. Exe...
  • Accurately detects and isolates circular ownership loops within corporate holding structures. Flags officer...
  • Interactive network graph viewer rendering isolated control loops and a panel for generated nominee evidenc...
Configured evaluation evidence
  • 2 public reference cases
Configured runtime
  • 3 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
  • DSPy · Optional
Training Infra
  • DSPy · Optional
Orchestration
  • DSPy · 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 BODS Circular Control Graph and Nominee Profiler