AI agents move fast.
Unchecked outputs break things.
Rynko sits between your agents and production.
Schema validation, business rules, human review, document generation —
one pipeline, one API.
{
"vendor": "ACME Corp",
"amount": 8500,
"currency": "USD",
"payment_terms": 120
}Every agent output governed in milliseconds. Immutable audit trail on every decision.
The AI Output Pipeline
From unstructured documents to governed, validated, production-ready output.
Extract
Upload PDFs, images, Excel. AI extracts structured data with per-field confidence.
Validate
Schema enforcement, business rules, approval routing. Every output governed.
Render
Generate pixel-perfect PDFs and Excel documents from validated data.
Deliver
Webhook delivery with retry, approval workflows, and complete audit trail.
Each stage is optional. Use the full pipeline or just the stages you need.
Three governance gaps that bring production AI to a halt
Your agent returns { "amount": "two thousand" } instead of { "amount": 2000 }. Downstream silently corrupts the record. You find out three days later.
→ Flow rejects it at the gate. Instantly.
Your AI approves a $180k contract. Your policy caps autonomous approvals at $10k. Pydantic validated the shape — but not the business logic. Nothing stopped it.
→ Flow enforces: amount <= 10000. Every time.
Auditor asks: "Who approved the Q4 batch runs, and what were the validation criteria?" You have no answer. There's no immutable record.
→ Flow logs every run, rule, decision, and reviewer action.
How the governance layer works
Add a gate to any agent pipeline in under 5 minutes.
Define a Gate
Import your Pydantic or Zod schema. Add business rules. Set approval thresholds.
Agent Submits
Via REST, SDK, or MCP. LangGraph, CrewAI, AutoGen auto-discover gates as tools.
Flow Governs
Schema → Rules → Approval routing. Returns a tamper-proof validation_id.
Verify
Your system calls /flow/verify to confirm the agent didn't skip or tamper.
You Act
Verified → webhook, document, next step.
Failed → reject or re-route.
The complete governance infrastructure
Where Pydantic ends, Rynko begins.
- Import Pydantic / Zod in 30 seconds
- Expression rules, no-deploy updates
- Conditional approval thresholds
- Auto-exposed as MCP tools to any orchestrator
- Magic link — no account needed for reviewers
- Conditional: only triggers when expression is true
- Decision pushed back to MCP agent in real time
- Unlimited approvers on all paid plans
- Immutable log of every run and decision
- Visual trace timeline with sub-ms latency
- Pass rates and pipeline health trends
- Exportable for compliance audits
The natural next step after governance
Once Flow governs your agent's output, turn it into a branded document in one more API call. Visual template designer. Native PDF + Excel. No Puppeteer.
Every gate becomes an MCP tool — automatically
Connect LangGraph, CrewAI, or AutoGen to the Rynko MCP endpoint and your gates are instantly auto-discovered as tools. No wiring code. Update a gate in the UI and the live registry broadcasts it to your agents at the next session.
- Gate description = tool description — LLM selects the right gate from context
- Circuit breaker trips pushed in real time via persistent SSE session
- Human approval decisions surface back to the orchestrator automatically
- Enforce "Legal" or "Compliance" gates across an entire agent swarm
Real governance scenarios teams deploy today
Not demos. Actual production pipelines shipping with Rynko.
Simple, transparent pricing
Start free. No credit card required.
Standard Runs include schema validation and business rule evaluation. AI Judge uses LLM-based evaluation for complex semantic validation — priced separately for predictable unit economics.
The governance layer your production AI demands.
Add a gate in 5 minutes. Every agent output governed, every decision logged, from day one.
No credit card required • 500 free standard runs/month • Cancel anytime