Stop one user, bot, or agent loop from burning your model budget.

Panicly sits before OpenAI, Anthropic, OpenRouter, Google, and Vercel AI Gateway routes to enforce hard budgets, token guards, abuse rules, Kill Switch, and request policies before traffic creates spend.

Start workspace

curl https://panicly.lol/v1/openrouter/chat/completions \
  -H "Authorization: Bearer $PANICLY_PROJECT_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"openrouter/auto","messages":[{"role":"user","content":"Hello"}]}'

Three paid plans for real traffic.

Start with Pro, configure Scale, or choose Business when Custom Rules and priority support matter.

Compare plans

$30/ mo

65,000 requests / mo, 25 RPS, unlimited apps, $35 / 100,000 extra

Start with Pro

Starts at $100/ mo

100,000 base requests / mo, 125 RPS, unlimited apps, $20 / 100,000 extra

Configure Scale

$325/ mo

10,000,000 requests / mo, 2,500 RPS, Custom Rules, priority support, $15 / 500,000 extra

Start with Business

A control plane that can actually stop spend.

Panicly is not a prompt surface or demo wrapper. It is the operational layer that decides whether model traffic is allowed to spend, where it can route, and how every decision is explained.

Policy runs before the provider call

Budgets, model access, Region Rules, Network Controls, and Kill Switch are checked before a request can create provider spend.

Request decisions stay reviewable

Review the route, project, source, policy, estimated cost, decision, and reason without rebuilding incidents from provider logs.

Billing state stays visible

Usage, plan limits, included volume, credits, and held spend stay visible as operating facts instead of surprise invoices.

Everything you need to control model traffic in production.

Hard spend ceilings

Set workspace and project limits, then stop routing the moment the limit is reached.

Token guard

Reject oversized requests before they ever hit the upstream provider.

Kill Switch

Hold risky traffic instantly without shipping a new deploy or rotating provider keys.

Model access

Approve production-safe models per project and keep experimental ones disabled.

Network Controls

Inspect and block network sources before forwarding starts.

Region Rules

Block countries and regions with IP location signals before provider forwarding starts.

Audit Log

Review provider-key changes, rules, Kill Switch toggles, and setup work in one place.

Request ledger

Every request records route, project, source, policy, decision, cost estimate, and reason.

More than a proxy. Controls your team actually ships.

Radar spend monitoring

Paid plans surface risky usage patterns before they become runaway invoices.

Maintenance hold

Pause gateway traffic with Kill Switch during maintenance and review request logs before resuming production.

Pre-provider guardrails

Use enforced rule primitives for rate limits, token thresholds, model access, network controls, and regions before provider spend happens.

Put Panicly between your app and provider calls.

Route model traffic through Panicly

Use Panicly as the gateway before OpenAI, Anthropic, OpenRouter, Google, or Vercel AI Gateway calls.

Define your policies

Set budgets, token limits, model access, regions, network rules, and Kill Switch from one workspace.

Allow, block, or hold requests

Panicly makes the decision before provider spend happens and records the outcome with the request.

Review the evidence

Operators get a request record they can actually use during incidents, billing reviews, and rollout changes.

Built for teams shipping AI features into the real world.

Protect public apps from abuse and accidental overuse

Keep one signup, one script, or one broken integration from draining shared provider spend.

Give each client project real usage limits

Ship AI features faster without rebuilding spend protection for every new workspace.

Stop runaway loops before they become invoices

Guard long chains, retries, and autonomous workflows with traffic rules that live outside app code.

Keep shared provider keys under policy

Route internal traffic through one control layer instead of trusting every team to self-police usage.

Launch your AI app without giving users a blank check.

Create a workspace, connect a provider key, and put spend controls in front of production model traffic.

Start workspace