verify_agent_action
Gate and verify autonomous AI agent action decisions (e.g. trades, emails, claims, API calls) via EthersFlow Multi-Model Federated Adversarial Consensus before execution.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| context | No | Structured contextual evidence, metadata, or source document references. | |
| policy_id | No | Optional policy pack identifier to evaluate against. | |
| scope_hint | No | Optional domain or task scope hint (e.g. 'clinical_safety', 'financial_compliance', 'legal_citation', 'cybersecurity_auditor'). | |
| agent_count | No | Number of adversarial audit nodes (2 to 7, default 3). | |
| agent_action | Yes | The proposed action the agent intends to take. | |
| persona_preset | No | ||
| zero_retention | No | Enforce zero data retention (ZDR). | |
| reasoning_chain | No | The agent's internal reasoning or context leading to this decision. | |
| grounding_enabled | No | Enable hybrid fact grounding verification. |