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
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.
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NullStateV1/nullstate-intelligence", dtype="auto")