Know which APIs are ready
for autonomous action.
ARCVERIN Qualification transforms an OpenAPI contract into an evidence-bound model of agentic readiness. It shows what can be automated, what must remain restricted, why, and what would close each gap.
This is not another style linter—and it never mistakes a static declaration for runtime proof.
Beyond OpenAPI linting.
A linter asks whether the file follows a standard. ARCVERIN asks whether the evidence in that file is sufficient to entrust each operation to an autonomous system.
OpenAPI is the evidence source—not the conclusion.
The contract already describes operations, data boundaries, security schemes, errors, callbacks, references, and workflow clues. ARCVERIN resolves those signals into a readiness model and keeps uncertainty explicit.
Reconstruct
Resolve operations, schemas, references, callbacks, links, authentication, and dependencies.
Qualify
Apply deterministic rules for meaning, authority, effects, verification, retry, recovery, and exposure.
Bound confidence
Distinguish proven contract facts from conservative derivation, owner policy, missing evidence, and analyzer limits.
Decide
Show what is ready, what stays restricted, and the exact change or evidence needed for reassessment.
Hold the evaluator constant. Compare locked evidence surfaces.
ARCVERIN applies the same qualification release, rule set, and evidence boundary to each locked OpenAPI surface. That makes differences explainable: the evaluator stays fixed while the declared contract evidence changes.
One qualification basis
Use the same release, rules, and interpretation boundary for every surface in the comparison.
One exact contract at a time
Each result belongs to a specific, unchanged OpenAPI surface. A changed surface becomes a new comparison point.
Explain what changed
Compare rule outcomes and evidence gaps without importing assumptions from outside the evaluated contracts.
This is not a provider ranking. The comparison does not use customer history, provider reputation, or a hosted backend, and it does not claim runtime proof. It compares declared OpenAPI evidence under a controlled qualification basis.
A decision teams can defend and act on.
Readiness by operation
Independent outcomes for every API operation and rule—without hiding uncertainty inside one aggregate score.
Safe exposure boundaries
Operations that should remain unavailable to autonomous or MCP-connected clients until gaps close.
Causal remediation
The responsible owner, required evidence or source change, and reassessment condition for each gap.
Evidence lineage
Traceable locations, identities, causes, confidence, and decision provenance for assurance review.
Workflow insight
Candidate verification, recovery, callback, and dependency relationships reconstructed from the contract.
Shareable reports
Technical and executive views that put API, platform, security, and AI teams on the same evidence.
What ARCVERIN refuses to guess matters as much as what it finds.
Contract facts can establish declared structure, constraints, and relationships.
Conservative derivation can identify candidates without turning inference into proof.
Proposed or inferred content receives no authoritative readiness credit.
Runtime behavior—such as approval enforcement, audit retrieval, retry behavior, or sandbox parity—remains unverified without qualifying evidence.
See what your OpenAPI contract can—and cannot—prove.
Start with one OpenAPI specification and receive an evidence-bound view of readiness, restrictions, and remediation priorities.
- ✓ Operation-level readiness outcomes
- ✓ Exposure and evidence gaps
- ✓ Prioritized remediation path