Build a Public Procurement Ownership Conflict and Case Prep Engine

Cross-reference winning bidders in public procurement tender releases against beneficial ownership statements. Flag shared corporate control across competing bidders and construct analyst case files with evidence summaries.

Public procurement fraud investigator

Ingest simplified Open Contracting Data Standard award records to identify winning and competing tender bidders.

Query synthetic Beneficial Ownership Data Standard v0.4 ownership statements to trace natural persons controlling each bidder.

Detect shared direct or indirect beneficial owners between ostensibly competing bidders in the same tender.

Compile an analyst case brief documenting overlapping ownership shares, dates, and simulated conflict flags.

Multi-pane web review console showing tender comparison tables, ownership links, conflict badges, and exportable case prep dossiers.

Use mock OCDS JSON releases and BODS v0.4 normalized JSON records generated locally; no external network credentials required. Starter examples below are synthetic. They are not downloaded records.

Open Contracting Data Standard Applies OCDS release structure from Section Reference with parties, tender awards, and buyer/supplier role arrays.

pydantic-ai, fastapi, networkx. Enforces type-safe schema definitions for parsed OCDS awards, BODS ownership structures, and output conflict dossiers. Local or hosted LLM with structured output capabilities to generate analyst case narratives from graph relationships.

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.

Identifies overlapping natural persons across distinct bidding parties within the same tender ocid.

Calculates cumulative ownership share across indirect intermediary holdings.

Emits a structured case preparation report containing verifiable party IDs and calculated ownership percentages.

Produces valid normalized conflict records adhering to the Pydantic schema.

```json [ { "input": { "tender_release": { "ocid": "ocds-215964-101", "id": "rel-01", "date": "2024-03-01T00:00:00Z", "tag": [ "award" ], "parties": [ { "id": "GB-COH-001", "name": "Apex Civil Ltd", "roles": [ "supplier" ] }, { "id": "GB-COH-002", "name": "Vortex Civil Ltd", "roles": [ "supplier" ] } ], "awards": [ { "id": "aw-1", "suppliers": [ { "id": "GB-COH-001" } ] } ] }, "ownership_statements": [ { "statement_id": "stmt-1", "entity_id": "GB-COH-001", "owner_name": "Eleni Vance", "share_pct": 51, "is_beneficial_owner": true }, { "statement_id": "stmt-2", "entity_id": "GB-COH-002", "owner_name": "Eleni Vance", "share_pct": 49, "is_beneficial_owner": true } ] }, "expected_output": { "ocid": "ocds-215964-101", "conflict_detected": true, "shared_principals": [ { "name": "Eleni Vance", "entities": [ "Apex Civil Ltd", "Vortex Civil Ltd" ], "max_holding_pct": 51 } ], "case_priority": "high", "recommended_action": "Refer to procurement audit board for non-competitive bidding review" } }, { "input": { "tender_release": { "ocid": "ocds-215964-102", "id": "rel-02", "date": "2024-03-02T00:00:00Z", "tag": [ "award" ], "parties": [ { "id": "GB-COH-003", "name": "Summit Rail Ltd", "roles": [ "supplier" ] }, { "id": "GB-COH-004", "name": "Horizon Track Ltd", "roles": [ "supplier" ] } ], "awards": [ { "id": "aw-2", "suppliers": [ { "id": "GB-COH-003" } ] } ] }, "ownership_statements": [ { "statement_id": "stmt-3", "entity_id": "GB-COH-003", "owner_name": "Marcus Kane", "share_pct": 75, "is_beneficial_owner": true }, { "statement_id": "stmt-4", "entity_id": "GB-COH-004", "owner_name": "Sarah Croft", "share_pct": 60, "is_beneficial_owner": true } ] }, "expected_output": { "ocid": "ocds-215964-102", "conflict_detected": false, "shared_principals": [], "case_priority": "low", "recommended_action": "Standard procurement file archiving" } } ] ```

Simulates all procurement reviews without filing statutory bid-rigging charges or notifying actual bidding vendors. Use mock external writes. Require human review before any real deployment.