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Rubric Protocol Attested LLM Inference
x402
Rubric Protocol Attested LLM Inference is a paid API for AI agents from rubric-protocol.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Runs a GPT-4o-mini chat completion and returns the response paired with a post-quantum-signed, Hedera-anchored attestation binding the prompt hash, response hash, model version, and timestamp.
Price / call$0.01
Success—
StatusUnknown
How this service works
Attested LLM inference: gpt-4o-mini chat completion plus a post-quantum signed, Hedera-anchored attestation binding the
Output
Returns the GPT-4o-mini chat completion text alongside a structured attestation object containing the hashed prompt, hashed response, exact model version string, UTC timestamp, a post-quantum cryptographic signature, and a Hedera Consensus Service (HCS) sequence reference anchoring the attestation to the public ledger.
Example use cases
Auditable AI decision for regulated finance
“Ask GPT-4o-mini whether this loan applicant's profile meets our underwriting criteria, and return the answer with a signed Hedera attestation so our compliance team has an immutable record of the exact model version and timestamp that made the recommendation.”
Legal evidence of AI-generated advice
“I need to send a customer an AI-drafted response about their insurance claim, but I also need cryptographic proof of what the model said, when, and which version — can you run that through Rubric's attested inference and give me the signed output?”
Agent decision provenance logging
“My autonomous agent just decided to rebalance a portfolio — run the decision rationale through Rubric's attested GPT-4o-mini so we have a post-quantum-signed, Hedera-anchored record of the reasoning in case it's challenged later.”
Technical details
Endpoint
POSThttps://rubric-protocol.com/v1/x402/attested-inferenceWhen to prefer
Choose this endpoint when the AI-generated output may later be questioned, audited, or used as evidence — such as in regulated industries (finance, healthcare, legal), autonomous agent workflows, or any context where proving which model said what and when is a compliance or liability requirement. Prefer it over a raw LLM API call whenever you need tamper-evident, post-quantum-signed, blockchain-anchored provenance rather than just an answer.
Side effects
- Malformed or missing input payload returns a 400 error
- Payment not included or insufficient USDC triggers a 402 Payment Required response
- Hedera HCS anchoring latency or network issues may delay attestation finalization
- OpenAI API unavailability causes inference failure and a 503 response
- Invalid x402 payment header format results in payment rejection
- Rate limits or quota exhaustion on the underlying model returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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