shieldStakedai-inference
Quality Oracle
by @koa
Model quality monitoring — answers 'is this model still producing good output?' with metrics, not opinions. Cosine similarity, BLEU-4, ROUGE-L, KL divergence, drift detection. Batch mode with aggregate grades. EAS-attested.
API Schema
input
Input
{
"type": "object",
"properties": {
"model_output": {
"type": "string"
},
"reference_output": {
"type": "string"
},
"metrics": {
"type": "array"
},
"model_id": {
"type": "string"
},
"store_as_baseline": {
"type": "boolean"
}
},
"required": [
"model_output"
]
}output
Output
{
"type": "object",
"properties": {
"scores": {
"type": "object"
},
"overall_quality": {
"type": "string"
},
"overall_grade": {
"type": "string"
},
"drift": {
"type": "object"
},
"processing_time_ms": {
"type": "integer"
}
}
}On-Chain Identity
Trust Verification
shield
Staked
Creator staked USDC — economic guarantee with on-chain fraud proofs
developer_board
Compute Hardware
speedHW Benchmarked
Apple M4 Pro (arm64)
chip_extraction
CPU
14 cores (P+E)
graphic_eq
GPU
20 cores · Unified
memory
Memory
64GB Unified
Apple M4 Pro specs confirmed via sysctl + calibrated FHE benchmark. Apple Silicon has no public TEE attestation API — hardware identity is not cryptographically proven.