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SignalNet Specification

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SignalNet

Data. Claims. Reality.

Overview

SignalNet is an open-source AI platform that compares public claims with real-world actions to reveal patterns of accountability, transparency, and organizational integrity. By combining structured public data, artificial intelligence, and knowledge graph technology, SignalNet helps researchers, journalists, policymakers, regulators, investors, and the public evaluate whether organizations and individuals consistently act in accordance with their stated values.

Rather than relying on opinion or reputation, SignalNet organizes publicly available evidence into a transparent framework that allows users to explore both positive contributions and documented adverse events. Every analysis is designed to be evidence-based, auditable, explainable, and subject to human review.

Data. Claims. Reality.

Specification

SignalNet is a modular open-source intelligence platform that continuously collects, organizes, analyzes, and visualizes publicly available information relating to corporations, nonprofits, foundations, government agencies, public figures, and other organizations of interest.

The platform evaluates public claims against measurable actions, helping identify consistency, contradictions, behavioral trends, financial activity, legal actions, and documented adverse outcomes while maintaining complete transparency regarding evidence sources.

SignalNet is designed to support journalists, researchers, investigators, auditors, policymakers, watchdog organizations, businesses, and the general public through explainable AI and structured evidence.

Design Principles

  • Humanity before technology.
  • Evidence over opinion.
  • Transparency over opacity.
  • Explainable AI.
  • Human-in-the-loop verification.
  • Modular architecture.
  • Publicly verifiable information.
  • Vendor neutrality.
  • Privacy where appropriate.
  • Extensible plugin ecosystem.

Modular Design

SignalNet is composed of independent modules that communicate through well-defined interfaces.

The core platform contains the essential capabilities required for entity intelligence, evidence collection, AI analysis, scoring, visualization, and transparency.

Additional capabilities can be installed as optional plugins without modifying the core platform.

Core Modules

Entity Intelligence

Maintains comprehensive profiles for:

  • Corporations
  • Nonprofits
  • Foundations
  • Government agencies
  • Public figures
  • Executives
  • Subsidiaries
  • Parent organizations
  • Holding companies
  • Affiliates

Features include:

  • Organizational history
  • Leadership history
  • Ownership relationships
  • Historical snapshots
  • Entity normalization
  • Duplicate detection

Public Data Aggregation

Collects and normalizes publicly available information from multiple sources.

Supports:

  • Financial disclosures
  • Annual reports
  • Regulatory filings
  • Court records
  • Government databases
  • Public statements
  • Press releases
  • News archives
  • Corporate websites
  • Procurement records
  • Investment disclosures
  • Political disclosures
  • Public datasets

Claim Intelligence Engine

Uses AI to identify and classify public claims including:

  • Philanthropic commitments
  • Environmental claims
  • Sustainability initiatives
  • Corporate responsibility statements
  • Public promises
  • Executive messaging
  • Diversity initiatives
  • Humanitarian efforts

Each claim is stored with:

  • Source
  • Publication date
  • Context
  • Topic classification
  • Supporting evidence

Action Intelligence Engine

Tracks measurable organizational behavior including:

  • Investments
  • Donations
  • Grants
  • Acquisitions
  • Partnerships
  • Operational decisions
  • Product recalls
  • Environmental incidents
  • Workplace safety
  • Labor actions
  • Regulatory enforcement
  • Litigation
  • Bankruptcies
  • Fraud investigations
  • Public communications

Accountability Analysis Engine

Continuously evaluates:

  • Claims versus actions
  • Messaging versus measurable outcomes
  • Investments versus stated priorities
  • Historical behavior versus current messaging

Detects:

  • Contradictions
  • Greenwashing
  • Reputation laundering
  • Repeated misconduct
  • Mismanagement
  • Pattern shifts
  • Integrity trends

Evidence Engine

Maintains complete evidence chains including:

  • Source attribution
  • Publication history
  • Supporting documentation
  • Cross references
  • Confidence ratings
  • Verification status

Every conclusion must remain traceable to publicly available information.

Knowledge Graph

Maps relationships between:

  • Organizations
  • Individuals
  • Foundations
  • Investments
  • Subsidiaries
  • Government agencies
  • Political organizations
  • Grants
  • Donations
  • Court cases
  • Regulatory actions

Supports complex relationship discovery and influence analysis.

Timeline Intelligence

Builds chronological histories showing:

  • Claims
  • Financial activity
  • Leadership changes
  • Legal actions
  • Regulatory activity
  • Public statements
  • Behavioral trends
  • Organizational milestones

Integrity Scoring

Provides explainable scoring models including:

  • Philanthropy Consistency Index
  • Negative Impact Index
  • Evidence Confidence Score
  • Historical Consistency Score
  • Transparency Score
  • Behavioral Trend Score

Every score links directly to supporting evidence.

Transparency Dashboard

Provides interactive exploration of:

  • Entity profiles
  • Claims
  • Supporting evidence
  • Timeline history
  • Knowledge graph
  • Integrity scores
  • Public records
  • Source references

AI Intelligence Framework

Core AI capabilities include:

  • Natural language processing
  • Named entity recognition
  • Claim extraction
  • Relationship discovery
  • Pattern recognition
  • Topic classification
  • Semantic search
  • Evidence summarization
  • Explainable AI
  • Knowledge graph reasoning

Ethical Governance

SignalNet is designed around:

  • Human review
  • Evidence-backed conclusions
  • Neutral language
  • Explainable AI
  • Transparent scoring
  • Public accountability
  • Independent auditing
  • Continuous validation

Optional Plugin Modules

The plugin architecture allows developers to extend SignalNet without changing the core platform.

Global Registry Connectors

Support additional countries, jurisdictions, and public registries.

Government Data Connectors

Integrate additional:

  • Regulatory agencies
  • Procurement systems
  • Court databases
  • Legislative records
  • Public registries

News Intelligence

Provides:

  • Investigative journalism aggregation
  • Event monitoring
  • Topic clustering
  • Historical media timelines

Social Media Intelligence

Analyzes public organizational messaging across supported platforms.

Whistleblower Portal

Provides:

  • Anonymous submissions
  • Secure document management
  • Evidence review workflows
  • Case management

Risk Forecasting

Uses historical evidence to identify emerging organizational risks and behavioral trends.

Industry Intelligence

Specialized analysis modules for:

  • Healthcare
  • Energy
  • Finance
  • Technology
  • Manufacturing
  • Education
  • Defense
  • Nonprofits

Geographic Intelligence

Provides:

  • Regional dashboards
  • Country comparisons
  • Geographic relationship mapping
  • International data visualization

Public API

Provides structured access to:

  • Entity profiles
  • Claims
  • Evidence
  • Knowledge graphs
  • Timeline data
  • Integrity scores

Visualization Extensions

Additional dashboards including:

  • Geographic maps
  • Network graphs
  • Timeline explorers
  • Comparative analysis
  • Organizational ecosystems
  • Statistical reporting

Research Workspace

Tools designed for:

  • Journalists
  • Researchers
  • Universities
  • Watchdog organizations
  • Auditors
  • Policymakers

Data Sources

SignalNet is designed to integrate publicly available information from financial disclosures, regulatory filings, court records, nonprofit reporting, lobbying disclosures, investigative journalism, government registries, corporate records, procurement systems, and other verifiable public datasets.

The platform is source-agnostic, allowing new public datasets and connectors to be added without modifying the core architecture.

Development Philosophy

SignalNet exists to help society distinguish between reputation and reality.

Every specification, algorithm, business model, and feature should put humanity first by prioritizing transparency, fairness, accountability, and evidence-based analysis. Artificial intelligence should enhance human judgment rather than replace it, and every conclusion should remain explainable, auditable, and linked to verifiable public information.

The long-term vision is to create an open, community-driven accountability platform that empowers better decisions through structured intelligence while remaining transparent, independent, and worthy of public trust.

Specification Branding License (SBL)

Standard

  • Fully AGPL-3.0+ compliant system
  • Copyleft enforced for network deployments
  • Required attribution:

Optional

License & Notice Requirements

SignalNet is released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).
By contributing to this project, you agree that your contributions will also be released under this license.

Please note the following:

  • All contributions must comply with the AGPL-3.0+ terms.
  • Under Section 7 of the license, all redistributions, forks, and derivative works must preserve attribution to:
    Roxanne Ardary and roxanneardary.com.
  • SignalNet specifications are free to use with attribution. A Specification Branding License can be negotiated upon request.
  • The project’s notice.md file tracks attribution requirements and contributor acknowledgments. Any update that adds new contributors or modifies attribution should also update notice.md.
  • When submitting a pull request, ensure that any new files maintain the attribution headers where applicable.
  • Network-deployed versions of this software must also remain fully AGPL-3.0+ compliant, including exposure of source code modifications when applicable under the license.

For full legal details, please refer to the AGPL-3.0+ license and the project’s notice.md file.

Notice – SignalNet

Attribution Requirement: Under Section 7 of the AGPL 3.0+ license, all redistributions, forks, and derivative works, including network-deployed versions of this project, must provide attribution to Roxanne Ardary and roxanneardary.com.

Contributors

This file tracks contributors and their specific contributions to the project.

  • Roxanne Ardary, roxanneardary.com – March 12, 2026
    Created the repository for SignalNet. Developed the AI-driven truthseeker framework to track, analyze, and verify claims of philanthropy and corporate behavior.
  • [Add other contributors here] – [Date]
    [Describe contribution in one sentence]

License – SignalNet

This repository is licensed under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).

Key Points:

  • You are free to use, modify, and distribute the code.
  • All redistributions, forks, and derivative works or network-deployed versions must also be licensed under AGPL-3.0+ and provide attribution to Roxanne Ardary and roxanneardary.com as required under Section 7 of the license.
  • The software is provided “as is,” without warranty of any kind.

For the full license text, see GNU AGPL-3.0 License.

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