# Zama

**Canonical:** https://apis.io/providers/zama/  
**Website:** https://www.zama.org  
**APIs profiled:** 0

Zama is an open-source cryptography company building state-of-the-art Fully Homomorphic Encryption (FHE) solutions for blockchain and AI. Its developer surface is a suite of libraries and protocols rather than a hosted REST API: TFHE-rs (a Rust implementation of TFHE), Concrete (a Python-to-FHE compiler), Concrete ML (privacy-preserving machine learning), fhEVM and the Zama Protocol for building confidential smart contracts and dApps on EVM-compatible chains, plus TypeScript SDKs (the fhEVM Relayer SDK and React SDK). Zama publishes the ERC-7984 confidential token standard, a developer hub, GitBook documentation, and an active open-source GitHub organization. This profile was surfaced as a portfolio company of Multicoin Capital and enriched from Zama's public developer surface.

## Kin Score — 17.0 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 17.0).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 13.2 |
| Developer Ergonomics | 47.6 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| 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).

## Security (2)

- **Zama Domain Security** — TLSv1.3 · DMARC
- **Zama Vulnerability Disclosure** — disclosure policy published

## Tags

Company, Crypto Web3, Cryptography, Fully Homomorphic Encryption, FHE, Privacy, Blockchain, Smart Contracts, Machine-Learning, Open-Source, SDK

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