Explore

Federated Map (Phase 4)

Roadmap

v2 — Federated Intelligence & Interoperability

v2 extends the federation layer into a usable, queryable intelligence system, enabling cross-instance discovery, verification, and interoperability.

Core Capabilities

Federated Search API

Enables query across participating instances using public-safe metadata. Supports filtering by entity, relationship type, geography, sector, and risk classification, returning aggregated results with provenance links to source dossiers.

Multilingual Support

Introduces localized labels, taxonomy mapping, and translation layers for entities, relationships, and classifications, enabling cross-regional usability and participation without enforcing a single linguistic standard.

Signed Provenance Attestations

Each node and edge can include cryptographic attestations verifying origin, verification status, and contributing instance. This strengthens trust, auditability, and cross-instance validation without central authority.

System Effects

Transitions the graph from visualization → queryable intelligence layer

Enables cross-network discovery and due diligence workflows

Establishes verifiable trust signals across instances

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v3 — Coordination, Detection & Public Interface Layer

v3 extends the system into active coordination, pattern intelligence, and public engagement—shifting from visibility to intervention and response.

Core Capabilities

Cross-Instance Alerts

Real-time or event-based notifications when:

known actors reappear in new contexts

risk thresholds change

new verified relationships emerge

Alerts can be scoped by geography, sector, or governance role.

System-Level Pattern Detection

Identification of recurring structures and behaviors across the federated graph, including:

repeat actors

coordinated networks

systemic patterns (e.g., supply chain exploitation, regulatory capture)

Enables longitudinal and cross-domain analysis.

Public Embeds for Campaigns

Shareable, embeddable graph views and dossier summaries for:

advocacy campaigns

investigative reporting

public accountability initiatives

Maintains provenance links and verification indicators.

Sector-Specific Intelligence Lenses

Pre-configured analytical views tailored to specific domains (e.g., energy, finance, agriculture), enabling focused analysis of sectoral patterns, actors, and risks.

System Effects

Transitions the graph from intelligence → coordination infrastructure

Enables proactive accountability and response mechanisms

Bridges institutional use and public engagement

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External Infrastructure Requirements

The following components require infrastructure beyond Lovable and must be implemented as independent services:

Graph Hub Service: Aggregation, indexing, deduplication, and cross-instance synchronization layer (e.g., Node/Go service with Postgres or graph database) NEOj4

Federation Authentication Layer: Secure communication using signed JWTs or mTLS for instance-to-hub verification and scoped permissions

Cross-Instance Data Processing: Deduplication logic, identity resolution, and merge strategies across independent datasets

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