We Published the First Formal Conformance Standard for AI Agents

Correctover Research Group published the first formal conformance standard for AI agents, the Correctover Conformance Standard (CCS) v1.0, after auditing over 8,000 real API calls across multiple providers. The standard addresses a systemic blind spot where agent frameworks treat HTTP 200 as success even when downstream data is incorrect, defining a six-dimensional runtime validation contract with verifiable self-healing and 100% silent failure detection.

We audited 8,000+ real API calls across multiple providers and fault scenarios. The results exposed a systemic blind spot in how the industry handles agent reliability. Today we're publishing the Correctover Conformance Standard CCS v1.0 — the first formal specification defining conformance requirements for agentic runtimes. Here's what happens when an LLM API call fails in most agent frameworks: 1. Provider A fails timeout, error, wrong model 2. Switch to Provider B 3. Return whatever Provider B sends 4. Mark as "success" because HTTP 200 The problem? HTTP 200 doesn't mean correct. Provider B might return: Your agent framework says "success." Your downstream logic consumes poisoned data. And nobody knows. 8,000+ real API calls. 4 fault scenarios. Multiple providers DeepSeek, OpenAI, Anthropic, Google . | Metric | Standard Failover | CCS-Guided Recovery | |---|---|---| | Fault recovery rate | not formally verified | verified self-healing | | Silent failure detection | 0% | 100% | | Diagnosis latency | N/A | microsecond-scale | | Recovery rules | static | self-evolved MAPE-K loop | Industry context: CCS is not a tool, SDK, or platform. It is a formal standard . Defines the 6-dimensional runtime validation contract: Standardized receipt verification symbols for cross-runtime interoperability. 20,000 real API traces 1.6MB compressed . Open for independent reproduction. Any agentic runtime that cannot produce a CCS conformance receipt for its LLM API invocations operates outside the verifiable compliance framework. This isn't a recommendation. It's derived from the empirical evidence: The standard does not adapt to implementations. Implementations must adapt to the standard. @misc{correctover2026ccs, title={CCS Standard v1.0: Conformance & Correctness Standard for Agentic Runtimes}, author={{Correctover Research}}, year={2026}, doi={10.5281/zenodo.21234580}, license={CC BY-NC-SA 4.0} } The question isn't whether your LLM calls are failing. They are. The question is whether you can prove they're correct. Correctover Research Group | CCS Standard v1.0 | 2026-07-07