> For the complete documentation index, see [llms.txt](https://docs.dctx.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.dctx.ai/key-components/zk-context-layer-future-upgrade.md).

# ZK Context Layer (Future Upgrade)

### What is the ZK Context Layer?

The **ZK Context Layer** is a planned extension of the Decontext protocol that introduces **Zero-Knowledge Proofs (ZKPs)** into the context infrastructure. It enables agents and users to **prove knowledge or ownership of certain context** without revealing the actual data — enhancing privacy, security, and trust in decentralized intelligence.

> Think of it as **private context with public verifiability** — where facts are proven, but secrets are kept.

***

### Why It Matters

While transparency is a strength in Web3, **not all context should be public**. In sensitive applications — such as identity, financials, health data, or private strategies — context must be kept confidential, yet still **provably true**.

The ZK Context Layer solves this by:

* Preserving **user privacy**
* Enabling **confidential reasoning** for AI agents
* Supporting **selective disclosure** of on-chain context

***

### Core Features

#### **Zero-Knowledge Proofs for Context**

Users or agents can generate cryptographic proofs (e.g., zk-SNARKs or zk-STARKs) attesting to:

* Meeting certain conditions (e.g., “reputation > 80”)
* Belonging to a group (e.g., “verified contributor”)
* Having a behavior pattern (e.g., “active for 60+ days”)

Without revealing the exact values.

***

#### **Private Inputs, Verifiable Outputs**

Context consumers (contracts or dApps) receive a proof and verify its validity without needing access to the private data.

#### **ZK-Enabled Context Modules**

Decontext will support optional context modules that automatically generate and verify ZK-proofs related to specific data schemas.

***

### Example Use Cases

| Use Case                 | ZK Context Application                                                           |
| ------------------------ | -------------------------------------------------------------------------------- |
| **Private Identity**     | Prove “is verified human” without revealing name, wallet, or KYC                 |
| **DAO Voting**           | Vote weights based on hidden reputation or contribution score                    |
| **DeFi Access**          | Access high-tier pools based on private financial behavior                       |
| **Agent Decision Logic** | Agents make decisions based on private signals but prove fairness or eligibility |
| **Compliance**           | Selectively prove age, region, or status without doxxing identity                |

***

### Planned Architecture

```
[Context Data (Private)] --> [ZK Prover] --> [ZK Proof]
                                   ↓
                [Smart Contract Verifier (On-Chain)]
```

All ZK components are modular and compatible with DMCP schemas and the Context Graph Layer.

***

### Tech Considerations

* **ZK Proof Systems**: SNARKs / STARKs / Bulletproofs
* **Off-chain Provers**: Required for scalable, low-cost proof generation
* **On-chain Verifiers**: Efficient contracts for validating proof authenticity
* **Compatible Libraries**: Halo2, Circom, zkSync, Noir (planned)

***

###  Status

| Component                   | Status               |
| --------------------------- | -------------------- |
| ZK Schema Design            | In Research          |
| ZK Module Prototype         | Planned              |
| ZK Agent Integration        | In Design            |
| On-chain Verifier Templates | In Development Queue |

***

### 📌 Summary

The **ZK Context Layer** brings **privacy, security, and compliance** to Decontext — enabling intelligent systems that are both **verifiable and confidential**.

> Privacy is not a limitation — it's a feature of intelligent decentralization.