Build a Beneficial Ownership Sub-Threshold Equity Gap Auditor

Trace multi-tier shareholding structures to calculate unverified sub-threshold equity gaps. Generate targeted evidence requests for entities failing to aggregate to 100% control.

Enhanced due diligence officer auditing complex multinational corporate registry filings.

Parse beneficial ownership declaration graphs and inspect declared voting or equity percentages.

Identify holding branches terminating in opaque corporate entities or sub-threshold gaps.

Generate a structured request-for-information document specifying missing intermediary documentation.

Render a JSON-driven ownership graph diagram highlighting unverified nodes for human sign-off.

Interactive graph inspector showing verified ownership links alongside drafted evidence request letters.

Synthesize 40 BODS v0.4 ownership statements containing known parent-child breaks into a mock JSON file. Starter examples below are synthetic. They are not downloaded records.

Beneficial ownership modelling Applies BODS v0.4 guidance on representing beneficial owners, interest shares, and entity relationships.

mastra-ai, fastapi, graphviz. Orchestrates multi-step workflow graphs connecting schema analysis with evidence request document drafting. Fast hosted model capable of parsing graph structures and drafting professional compliance correspondence.

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 intermediary holding entities where ownership percentages fail to reach 100%.

Generates formal evidence request letters referencing specific missing intermediary entity IDs.

Outputs node-link diagram descriptions with verified and unverified status classifications.

```json [ { "input": { "target_entity": "ent-holdings-xyz", "statements": [ { "id": "s1", "subject": "ent-holdings-xyz", "owner": "ent-overseas-1", "share": 0.45 }, { "id": "s2", "subject": "ent-holdings-xyz", "owner": "ent-overseas-2", "share": 0.35 } ] }, "expected_output": { "unresolved_share": 0.2, "evidence_required_for": [ "ent-overseas-1", "ent-overseas-2", "undisclosed_remainder" ], "diagram_nodes": [ { "id": "ent-holdings-xyz", "type": "target", "status": "resolved" }, { "id": "ent-overseas-1", "type": "intermediary", "status": "unverified" }, { "id": "ent-overseas-2", "type": "intermediary", "status": "unverified" } ], "request_letter_generated": true } }, { "input": { "target_entity": "ent-single-owner", "statements": [ { "id": "s3", "subject": "ent-single-owner", "owner": "person-frank", "share": 1 } ] }, "expected_output": { "unresolved_share": 0, "evidence_required_for": [], "diagram_nodes": [ { "id": "ent-single-owner", "type": "target", "status": "resolved" }, { "id": "person-frank", "type": "person", "status": "resolved" } ], "request_letter_generated": false } } ] ```

Processes synthetic corporate declarations. Does not submit real requests for information or freeze commercial entities. Use mock external writes. Require human review before any real deployment.