Spectre FAQs

Question 1

Can Spectre integrate with other AI assistants or tools?

Accepted Answer

Absolutely. Spectre offers a RESTful JSON 'API / Plugin Protocol' for external autonomous AIs to trigger missions. It also provides a 'Model Context Protocol (MCP) Standard' server wrapper, acting as a universal bridge for any capable AI agent.

Question 2

How does Spectre handle conflicting or overlapping data?

Accepted Answer

It leverages 'Neural Disambiguation' with LLMs (like Gemini 2.0 Flash) to parse semantic overlaps, isolate conflicting data, and intelligently group information within the graph topology, ensuring a clean and accurate intelligence dossier.

Question 3

Is an API key required to use Spectre as an AI plugin?

Accepted Answer

No. While the visual dashboard can use an internal LLM, Spectre's MCP plugin supports 'Local Intelligence Mode.' It can return Raw Evidence Nodes, allowing your host AI to perform disambiguation, making it 100% API-Key free for plugin users.

Question 4

What is Spectre and its primary purpose?

Accepted Answer

Spectre is an autonomous Open Source Intelligence (OSINT) core and graph disambiguation engine. It aggregates and disambiguates public digital footprints for autonomous AI assistants, enhancing their contextual awareness and enabling hyper-personalized interactions.

Question 5

How does Spectre gather and visualize information?

Accepted Answer

Spectre uses 'Real-Time Cybernetic Mapping' to visualize digital footprints as nodes and edges in a cyberpunk 2D interface. It employs 'Swarm Intelligence Routing' with disposable identities to evade rate limits and gather deep research from various sources.

Spectre

Spectre

Key Features

Use Cases

Key Features

Use Cases