Give your agents a safety check before they act
Paresium Clara plugs into any agent framework or AI infrastructure as the meaning-reading and audit layer: verify a proposed action before it fires, and hand back a full record. Clara works the same way no matter what you're building on.
How it fits
A proposed action comes in, Clara checks it, and your agent gets a decision back.
Propose action
Agent selects a tool call
agent/tool-callVerify
Clara checks policy and risk
paresium/verifyExecute or block
Approved actions proceed
agent-workflowWays to integrate
Four patterns cover most agent stacks. Pick whichever fits how you already build.
Skill
Install Clara as a framework-native skill or tool that checks a proposed action before it fires.
Verification subagent
Run a dedicated agent instance whose only job is to check what your other agents are about to do.
Gateway or middleware hook
Call Clara from any tool-execution middleware or gateway your stack already routes through.
Portal testing
Try real requests in the Clara portal before wiring up an integration.
Built for MCP
Clara isn't only an API for your backend. AI agents can discover and call our services directly over MCP, the open standard agents use to find and use tools. An agent with no account can still pay per call: our quote comes back as machine-readable payment instructions, the agent pays, the service runs, and any unused amount is refunded.
No sign-up flow, no human in the loop, and the same verdicts and audit records as every other caller.
How an agent buys a check
- The agent finds Clara's services over MCP
- It calls one; we reply with the price and how to pay
- It pays for the worst case and the service runs
- The briefing comes back; unused payment is refunded
Opens with public launch, alongside the standard API.
Example workflow
Without Clara
- Agent ingests a message or event
- It calls the tool based on a literal reading
- Sometimes it's right, sometimes it misses the point
- If it slips up, there's no clean record of why
With Clara
- Clara reads the request before any tool fires
- Policy and risk are checked against your rules
- Approved actions proceed, risky ones are blocked
- Every step is written down automatically
Connect over MCP
A framework-neutral example of what connecting looks like once the API opens.
Connect the Clara intent tool over MCP with a single command.
mcp connect paresium/intentFrequently asked questions
What kind of output do I get?
A clear summary your agent can act on, a decision (answer, ask for clarification, escalate, or block), a reason, and a record ID. All in standard JSON.
Do I need an account to call Clara?
No, at launch. Agents discover and call our services over MCP and pay per call with no account needed. The quote comes back as machine-readable payment instructions.
Does this slow down my agent?
Our checks happen before the big-model call. For most workflows the verification step is faster than the LLM call it gates, and the audit trail is captured automatically with no extra round trip.
What about rate limiting and billing?
Pay per call, metered, with rate limiting. You see the worst-case price before it runs and are only charged for what actually ran.
Can I try it before integrating?
Yes. Test real requests in the Clara portal, then wire up whichever integration mode fits your stack.
Get hands on early
Building an agent framework, deploying agents in production, or integrating MCP tools? Tell us what you'd build.