thinkneo evaluate guardrail

Evaluate a prompt or text against ThinkNEO guardrail policies before sending it to an AI provider. Returns risk assessment, violations found, and recommendation

liveunknown~5s typical

mcpcontrol-plane

$0.0020

per call

plus $0.001 platform fee per run

Open MCP server; Cracked bills routing only

Provider Upstream docs

$Set up https://cracked-ai-pearl.vercel.app/SKILL.md, then use Cracked to run mcp-ai-thinkneo-control-plane /thinkneo_evaluate_guardrail for me.

Input

Field	Type	Description
text*	string	The prompt or text content to evaluate for policy violations (max 32,000 characters)
workspace*	string	Workspace whose guardrail policies to apply for this evaluation
guardrail_mode	string	Evaluation mode: 'monitor' (log violations only) or 'enforce' (block the request on violat default "monitor"

Call it

curl

curl https://cracked-ai-pearl.vercel.app/v1/run \
  -H "Authorization: Bearer ck_live_..." -H "content-type: application/json" \
  -d '{"provider":"mcp-ai-thinkneo-control-plane","endpoint":"/thinkneo_evaluate_guardrail","input":{"text":"...","workspace":"...","guardrail_mode":"monitor"}}'

cli

npx cracked-ai run -p mcp-ai-thinkneo-control-plane -e /thinkneo_evaluate_guardrail -i '{"text":"...","workspace":"...","guardrail_mode":"monitor"}'

mcp

run_tool({ provider: "mcp-ai-thinkneo-control-plane", endpoint: "/thinkneo_evaluate_guardrail", input: {"text":"...","workspace":"...","guardrail_mode":"monitor"} })

Try it

Runs against your signed-in workspace balance. Sign in if you have not.