Build a BODS Jurisdictional Opacity and Layering Depth Evaluator
Measure corporate layering depth across multi-jurisdictional holding structures using BODS v0.4 data. Identify opaque disclosure regimes and formulate targeted evidence requests for entities lacking natural person resolution.
What you are building
The core problem, expected build, and operating context for this challenge.
Measure corporate layering depth across multi-jurisdictional holding structures using BODS v0.4 data. Identify opaque disclosure regimes and formulate targeted evidence requests for entities lacking natural person resolution.
Enhanced due diligence investigator
Ingest nested BODS v0.4 ownership statements representing multi-tier corporate hierarchies.
Calculate structural depth and flag offshore jurisdictions with non-public ownership registries.
Isolate ownership branches where beneficial owner identification terminates without reaching a natural person.
Formulate formal information request questionnaires for target entities in opaque regimes.
Multi-tier hierarchy visualizer with node-specific risk tags and automated questionnaire generator panel.
Generate synthetic nested corporate graphs in BODS JSON format spanning multiple tax havens and holding tiers. Starter examples below are synthetic. They are not downloaded records.
Beneficial ownership modelling Applies BODS v0.4 modeling requirements regarding real world identifiers and indirect beneficial ownership paths.
pydantic-ai, fastapi, networkx. Provides robust data validation for recursive ownership trees and guarantees schema conformity of evidence requests. Local or hosted LLM to compose precise documentary request letters tailored to specific foreign jurisdictions.
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.
Traverses corporate holding chains up to ten layers deep to find terminal entities.
Calculates cumulative effective interest through intermediate shareholding percentages.
Flags opaque intermediary jurisdictions lacking public beneficial ownership registries.
Produces structured JSON evidence request templates specifying required registry extracts.
```json [ { "input": { "root_entity": "Omega Trading PLC", "tree": [ { "tier": 1, "entity": "Omega Trading PLC", "parent": "Seashell Capital Ltd", "share_pct": 100, "jurisdiction": "GB" }, { "tier": 2, "entity": "Seashell Capital Ltd", "parent": "Tortola Trust Corp", "share_pct": 100, "jurisdiction": "VG" }, { "tier": 3, "entity": "Tortola Trust Corp", "parent": null, "share_pct": 100, "jurisdiction": "VG" } ] }, "expected_output": { "root_entity": "Omega Trading PLC", "layering_depth": 3, "has_opaque_jurisdiction": true, "terminal_unresolved_entity": "Tortola Trust Corp", "required_evidence": [ { "entity": "Tortola Trust Corp", "jurisdiction": "VG", "document_type": "Deed of Trust and Register of Directors" } ], "diagram_summary": "Linear 3-tier chain ending in opaque BVI trust entity" } }, { "input": { "root_entity": "Greenfield Transport Ltd", "tree": [ { "tier": 1, "entity": "Greenfield Transport Ltd", "parent": "David Greenfield", "share_pct": 100, "jurisdiction": "GB" } ] }, "expected_output": { "root_entity": "Greenfield Transport Ltd", "layering_depth": 1, "has_opaque_jurisdiction": false, "terminal_unresolved_entity": null, "required_evidence": [], "diagram_summary": "Direct ownership by verified natural person" } } ] ```
Assists analytical research only; does not submit formal legal orders or communicate externally. Use mock external writes. Require human review before any real deployment.
Participation guide
Assists analytical research only; does not submit formal legal orders or communicate externally. Use mock external writes and human review.
How work is evaluated
Traverses corporate holding chains up to ten layers deep to find terminal entities. Calculates cumulative effective interest through intermediate shareholding percentages. Flags opaque intermediary jurisdictions lacking public beneficial ownership registries. Produces structured JSON evidence request templates specifying required registry extracts.
Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.
Challenge datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
Complete workflow
Ingest nested BODS v0.4 ownership statements representing multi-tier corporate hierarchies. Calculate structural depth and flag offshore jurisdictions with non-public ownership registries. Isolate ownership branches where beneficial owner identification terminates without reaching a natural person. Formulate formal information request questionnaires for target entities in opaque regimes.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Traverses corporate holding chains up to ten layers deep to find terminal entities. Calculates cumulative effective interest through intermediate shareholding percentages. Flags opaque intermediary jurisdictions lacking public beneficial ownership registries. Produces structured JSON evidence request templates specifying required registry extracts.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
Multi-tier hierarchy visualizer with node-specific risk tags and automated questionnaire generator panel.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Assists analytical research only; does not submit formal legal orders or communicate externally.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Ingest nested BODS v0.4 ownership statements representing multi-tier corporate hierarchies.
Calculate structural depth and flag offshore jurisdictions with non-public ownership registries.
Isolate ownership branches where beneficial owner identification terminates without reaching a natural person.
Formulate formal information request questionnaires for target entities in opaque regimes.
Reference links and supporting material
Generate synthetic nested corporate graphs in BODS JSON format spanning multiple tax havens and holding tiers. Supplied starter examples are synthetic, not source extracts.
Challenge setup
Configuration summary for this challenge.
Challenge input
Input details are not configured.
Pydantic AI
Typed Python agent framework.
Evaluated output
No output checks are configured.
- Ingest nested BODS v0.4 ownership statements representing multi-tier corporate hierarchies. Calculate struc...
- Traverses corporate holding chains up to ten layers deep to find terminal entities. Calculates cumulative e...
- Multi-tier hierarchy visualizer with node-specific risk tags and automated questionnaire generator panel.
- 2 public reference cases
- 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
- Pydantic AI · Optional
- Pydantic 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.