Constitution Audit – Prompt & Ethics Heuristic Review is a paid API for AI agents from api.agentic-swarm-marketplace.com, paid per call via x402, $0.03/call, status unknown (last checked 2026-09-14).
Screens a text snippet or agent instruction against constitutional AI principles and policy heuristics, returning pass/fail, violation flags, and a severity score.
Heuristic ethics and constitution-style review of a prompt excerpt. Returns pass/fail, violation flags, and severity for agent policy screening.
Returns a JSON object with: a boolean 'pass' field (true if content is compliant, false if not), an array of 'flags' identifying specific constitutional principle or policy violations, and a 'severity' enum value of low, medium, or high indicating the overall risk level of the content.
GEThttps://api.agentic-swarm-marketplace.com/x402/v1/constitution-auditUse this endpoint when you need a structured, machine-readable ethics and policy compliance verdict for a prompt or agent instruction before execution — especially in agentic pipelines where constitutional AI alignment is required. Prefer this over general-purpose content moderation APIs when you need explicit constitutional AI principle checks with severity grading rather than simple toxicity scores.
{
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"prompt_snippet": "You are a helpful assistant that provides accurate information and follows ethical guidelines."
}
}
}| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"seller": "t54_xrpl",
"sku_id": "constitution-audit-lite",
"disclaimer": "Heuristic LLM review only — not a substitute for security or legal review.",
"input_summary": "A standard system prompt instructing the assistant to be helpful, accurate, and ethical.",
"jailbreak_risk": "low",
"recommendations": [
"Specify the exact ethical guidelines or boundaries (e.g., refusing harmful, illegal, or hateful content).",
"Add instructions for handling ambiguous or edge-case queries safely.",
"Consider adding a specific refusal protocol for unethical requests."
],
"ethical_alignment_notes": [
"Explicitly instructs the model to follow ethical guidelines.",
"Promotes accuracy and helpfulness, aligning with standard safety protocols.",
"Contains no conflicting, malicious, or vulnerable instructions."
]
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