# Symbolica

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

Symbolica is an AI research lab (founded 2022; backed by General Catalyst and Khosla Ventures) applying category theory and type theory to build reasoning systems that go beyond pattern matching. Its developer product is Agentica, a type-safe AI agent framework and platform: the Agentica SDK (Python and TypeScript) lets LLM agents integrate directly with your code — functions, classes, live objects, and modules — executing in a sandboxed REPL, while the Symbolica Platform provides enterprise-scale inference, security, sandboxing, hosting, management, and observability for agentic workloads. Agentica is SDK-first ("Un-MCP"): it consumes external MCP servers as functions rather than exposing a REST API.

## Kin Score — 27.1 / 100 (emerging)

Scored 2026-08-17 under rubric 0.11.0. Trend: flat (+0.0 from 27.1).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Operational Transparency | 21.1 |
| Developer Ergonomics | 58.7 |
| Commercial Clarity | 34.2 |

## Agent readiness — 12.6 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| MCP Server | no |
| Auth Clarity | yes |
| Idempotency | no |
| Error Semantics | documented |
| 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

Self-serve signup — onboarding: self-serve, pricing: unknown, trial: no (confidence: medium).

## Security (2)

- **Symbolica Authentication** — apiKey · 1 scheme
- **Symbolica Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Artificial Intelligence, Agents, Agentic AI, SDK, Developer Tools, LLM, Machine Learning

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