---
license: mit
language: en
library_name: transformers
tags:
- nullstate
- agent-intelligence
- payment-infrastructure
- x402
- ap2
- agent-economy
---

# NullState Intelligence

NullState's AI model for agent task intelligence, scoring, and settlement orchestration.

## Overview

NullState uses a dual-model architecture:
- **Phi-3-mini-4k-instruct** (local, Microsoft) - 20% of queries
- **Google Gemini 2.0 Flash** (cloud) - 80% of queries
- Keyword fallback - ~2% when both unavailable

## Usage

```python
from nullstate_intelligence import NullStateModel

model = NullStateModel()
result = model.score_task("Calculate 15% APR on 1000 USDC for 30 days")
```

## Training Data

Model training data is collected from live gateway telemetry at `greensol.me/nullstate`. Each interaction is labeled with:
- Task type classification
- Response quality score (1-5)
- Revenue stream attribution
- Latency metrics

## Protocol Support

The model understands and generates:
- x402 payment challenges
- AP2 mandate structures
- MCP JSON-RPC tool calls
- KYA challenge/response pairs

## Deployment

Deployed as part of the NullState gateway stack. Dual-model with graceful degradation.

[Full documentation →](https://greensol.me/nullstate/docs/architecture)