# Extensity

**Canonical:** https://apis.io/providers/extensity/  
**Website:** https://extensity.ai  
**APIs profiled:** 0

ExtensityAI is an AI research company building trustworthy, verifiable AI for enterprise environments through a neurosymbolic architecture that combines large language models with symbolic validation and knowledge-graph reasoning. Its flagship open-source framework, SymbolicAI, treats LLMs as programmable, differentiable primitives (Symbol objects) governed by Design-by-Contract validation, giving developers source-traceable, contract-enforced AI they can run on-premise with sovereign data control. The company also ships developer tooling including the ontoloom MCP server for building and exploring OWL 2 ontologies with AI agents. Backed by Lightspeed Venture Partners.

## Kin Score — 12.4 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 12.4).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 18.4 |
| Developer Ergonomics | 21.4 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

## Agent readiness — 4.1 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## MCP servers (1)

- **Extensity MCP Server** — MCP server that lets AI agents build and explore OWL 2 EL ontologies stored in SQLite databases.

## Security (1)

- **Extensity Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Artificial Intelligence, Neuro-Symbolic AI, Large Language Models, Knowledge Graphs, Developer Tools, Open-Source, Python, MCP

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/extensity/). Scores are computed from the provider's own public artifacts under a published rubric.