nexus2AI ships as an MCP server: a single secure endpoint that turns document verification into a native tool for any AI agent, while enforcing human oversight and on-premise data handling at the protocol level.
Four tools, each with a built-in compliance guarantee.
| Tool | What it does | Compliance note |
|---|---|---|
verify_document | Submits a document for verification. | Returns a job ID — nothing is auto-finalised. |
get_verification_result | Returns accepted / rejected / needs_review with per-field confidence. | needs_review cannot be coerced to approved. |
get_consensus_log | Returns the full multi-model debate. | Gives auditors the complete reasoning. |
list_ontologies | Lists the document types the agent may verify. | Scopes exactly what an agent can check. |
verify_documentget_verification_resultget_consensus_loglist_ontologiesMost “AI verification” lets the model decide. nexus2AI does not. The needs_review verdict is terminal in the tool contract — an agent receives it, surfaces it, and stops. Only a human can resolve it. Combined with on-premise processing and a council that never sees raw PII, this is verification you can put in front of an auditor and an autonomous agent at the same time.
Lane
Lane
If it speaks MCP, it can verify with nexus2AI.
Not using agents yet? The same verification is available through our REST API — see the integration guide.