Architecture

How It Works

From government filing to searchable insight — how public records become cross-linked, searchable political data.

From public records to explainable influence intelligencePublic records from government sources, resolved into canonical entities, delivered through multiple channelsSourcesCampaign FinanceLegislationGovernment SpendingLobbyingSecuritiesCorporate OwnershipFinancial DisclosuresGifts & TravelPipelineSource connectorsParsing & normalizationIdentity layerCoreCanonical entitiesEventsRelationshipsTime seriesTrustProvenanceConfidenceAuditabilityVersion historyInterfacesREST APIMCP ProtocolWeb InterfaceOpen DataConsumersJournalists & ResearchersAI AgentsPublic & AdvocatesDevelopersDesign principlesCross-source identity · traceable lineage · confidence-aware records · multiple interfaces

Design Principles

01

Cross-source identity

Every entity is linked across all data sources where it appears. A single company profile shows its campaign contributions, lobbying activity, government contracts, and SEC filings together.

02

Traceable lineage

Every fact on the platform can be traced back to a specific government filing. Data provenance is maintained from source to display.

03

Confidence-aware records

Where entity matching involves uncertainty, the platform tracks that uncertainty. Records are not incorrectly merged in pursuit of completeness.

04

Multiple interfaces

Data is available through the web interface, a REST API, AI-compatible protocols (MCP), and an OpenAPI specification to serve every audience.

Independence by Design

Poliscope’s infrastructure is designed to be portable. From day one, the platform has been built with no hard dependencies on any single cloud provider, AI vendor, or proprietary framework. Every component can be replaced with open-source or alternative commercial options.

The platform maintains the operational capability to migrate between providers. Shadow infrastructure configurations are tested alongside production systems to ensure portability remains real, not theoretical.

Open standards are used wherever possible: OpenAPI for the API specification and MCP for AI tool interoperability.