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Build a Beneficial Owner Evidence Request and Unresolved Graph Visualizer

Trace multi-tier corporate shareholding declarations to pinpoint unverified ownership thresholds. Synthesize formal documentary requests for missing intermediaries and produce unresolved control diagrams.

CybersecurityHosted by Vera

What you are building

Trace multi-tier corporate shareholding declarations to pinpoint unverified ownership thresholds. Synthesize formal documentary requests for missing intermediaries and produce unresolved control diagrams.

Enhanced due diligence compliance officer

Ingest BODS v0.4 ownership and control statements linking corporate entities and holding vehicles.

Calculate aggregate direct and indirect share percentages to identify unexplained gaps above reporting thresholds.

Generate targeted Request for Information documents identifying specific missing intermediate entities.

Render structured graph representations distinguishing verified natural owners from unresolved holding nodes.

Interactive graph inspector showing verified and broken control links, with an RFI document drafting modal.

Construct mock BODS v0.4 JSON datasets representing multi-tiered corporate holdings with deliberately omitted intermediary shareholdings. Starter examples below are synthetic. They are not downloaded records.

Beneficial Ownership Data Standard Applies BODS v0.4 data modeling standards to track entity-to-entity shareholding paths and calculate effective control.

langgraph, networkx, pydantic. LangGraph manages stateful traversal of multi-tier ownership chains and orchestrates evidence request drafting cycles. Requires hosted model API for drafting customized regulatory information requests targeting missing beneficial owners.

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.

Detects breaks in ownership chains where aggregate declared control is below the statutory 25% threshold.

Produces valid Mermaid or JSON graph representations highlighting unresolved corporate parent entities.

Drafts itemized Requests for Information specifying exact legal entities and registration jurisdictions requiring documentation.

```json [ { "input": { "target_entity": "ENT-7788", "statements": [ { "from": "ENT-7788", "to": "HOLDCO-1", "share": 0.6 }, { "from": "HOLDCO-1", "to": "TRUST-9", "share": 0.8 } ], "natural_persons": [] }, "expected_output": { "unresolved_control_detected": true, "terminal_unresolved_entity": "TRUST-9", "effective_unresolved_share": 0.48, "evidence_request_items": [ "TRUST-9 deed and trustee registry", "Beneficiary schedule for TRUST-9" ] } }, { "input": { "target_entity": "ENT-1122", "statements": [ { "from": "ENT-1122", "to": "PER-44", "share": 1 } ], "natural_persons": [ "PER-44" ] }, "expected_output": { "unresolved_control_detected": false, "terminal_unresolved_entity": null, "effective_unresolved_share": 0, "evidence_request_items": [] } } ] ```

Operates entirely on synthetic corporate declarations without issuing binding legal notices or querying real registries. Use mock external writes. Require human review before any real deployment.

Rules

Operates entirely on synthetic corporate declarations without issuing binding legal notices or querying real registries. Use mock external writes and human review.

How work is evaluated

Evaluation

Detects breaks in ownership chains where aggregate declared control is below the statutory 25% threshold. Produces valid Mermaid or JSON graph representations highlighting unresolved corporate parent entities. Drafts itemized Requests for Information specifying exact legal entities and registration jurisdictions requiring documentation.

Submission format

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

Datasets

Public datasets, plus the private datasets you have access to.

How submissions are scored

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

Complete workflow

Ingest BODS v0.4 ownership and control statements linking corporate entities and holding vehicles. Calculate aggregate direct and indirect share percentages to identify unexplained gaps above reporting thresholds. Generate targeted Request for Information documents identifying specific missing intermediate entities. Render structured graph representations distinguishing verified natural owners from unresolved holding nodes.

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

Detects breaks in ownership chains where aggregate declared control is below the statutory 25% threshold. Produces valid Mermaid or JSON graph representations highlighting unresolved corporate parent entities. Drafts itemized Requests for Information specifying exact legal entities and registration jurisdictions requiring documentation.

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 graph inspector showing verified and broken control links, with an RFI document drafting modal.

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

Operates entirely on synthetic corporate declarations without issuing binding legal notices or querying real registries.

Binary check

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

Learning goals

  • Ingest BODS v0.4 ownership and control statements linking corporate entities and holding vehicles.

  • Calculate aggregate direct and indirect share percentages to identify unexplained gaps above reporting thresholds.

  • Generate targeted Request for Information documents identifying specific missing intermediate entities.

  • Render structured graph representations distinguishing verified natural owners from unresolved holding nodes.

Resources

Dataset notes

Construct mock BODS v0.4 JSON datasets representing multi-tiered corporate holdings with deliberately omitted intermediary shareholdings. Supplied starter examples are synthetic, not source extracts.

Challenge setup

Challenge input

Input details are not configured.

LangGraph

Runtime for stateful agent workflows.

Evaluated output

No output checks are configured.

Evaluation checks
  • Ingest BODS v0.4 ownership and control statements linking corporate entities and holding vehicles. Calculat...
  • Detects breaks in ownership chains where aggregate declared control is below the statutory 25% threshold. P...
  • Interactive graph inspector showing verified and broken control links, with an RFI document drafting modal.
Configured evaluation evidence
  • 2 public reference cases
Configured runtime
  • 2 configured tools

Shows the first task, up to three tools, and up to three evidence items.

View technical recipe

Configured tools

Action Space
  • LangGraph · Optional
Orchestration
  • LangGraph · 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 Beneficial Owner Evidence Request and Unresolved Graph Visualizer