Bots can spam expensive endpoints
Public AI surfaces get hit long before provider billing explains what happened.
Stop one user, bot, or agent loop from burning your model budget.
Panicly sits before OpenAI, OpenRouter, Anthropic, and other model providers to enforce hard budgets, token guards, abuse rules, Sentry Mode, and request policies before traffic creates spend.
P
ArmedPanicly gateway console
northstar-prod / live traffic
Gateway decision board
Production traffic is under policy.
18ms p952.4k req$317 held
Spend ceiling
$4,820 / $5,000
Hard stop at workspace limit
Token guard
64k max
Reject oversized requests
Model access
17 approved
Experimental models stay disabled
Sentry Mode
Armed
Pause risky requests
15:35:10
checkout-worker
/v1/responses
Token guard
82k token estimate rejected upstream
$0.00
15:35:09
sales-copilot
/v1/chat
Approved model
Approved model stayed inside budget
$0.18
| Time | Project | Route | Policy | Decision | Spend |
|---|---|---|---|---|---|
| 15:35:10 | checkout-worker | /v1/responses | Token guard | Blocked | $0.00 |
| 15:35:09 | sales-copilot | /v1/chat | Approved model | Allowed | $0.18 |
| 15:33:29 | support-api | /v1/responses | Sentry Mode | Held | $0.00 |
What the product is
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 Sentry Mode 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.
Why buyers care
AI apps should not have unlimited access to your wallet.
Users can burn through shared provider keys
One power user can turn shared access into shared liability.
Agents can loop through dozens of model calls
Autonomous flows need a hard stop when they stop behaving like plans.
Bugs can retry until your credits disappear
Retries and background workers fail fast only if the gateway can say no.
Provider dashboards tell you after spend happened
You need request-level evidence while the incident is still active, not just a bill later.
Panicly gives you a hard enforcement layer before the request reaches the provider.
Feature set
Everything you need to control model traffic in production.
Budget
Hard spend ceilings
Set workspace and project limits, then stop routing the moment the limit is reached.
Guardrail
Token guard
Reject oversized requests before they ever hit the upstream provider.
Operator
Sentry Mode
Hold risky traffic instantly without shipping a new deploy or rotating provider keys.
Catalog
Model access
Approve production-safe models per project and keep experimental ones disabled.
Ingress
Network Controls
Inspect and block network sources before forwarding starts.
Geography
Region Rules
Block countries and regions with IP location signals before provider forwarding starts.
Change history
Audit Log
Review provider-key changes, rules, Sentry Mode toggles, and setup work in one place.
Evidence
Request ledger
Every request records route, project, source, policy, decision, cost estimate, and reason.
How it works
Put Panicly between your app and provider calls.
1
Route model traffic through Panicly
Use Panicly as the gateway before OpenAI, OpenRouter, Anthropic, or other provider calls.
2
Define your policies
Set budgets, token limits, model access, regions, network rules, and Sentry Mode from one workspace.
3
Allow, block, or hold requests
Panicly makes the decision before provider spend happens and records the outcome with the request.
4
Review the evidence
Operators get a request record they can actually use during incidents, billing reviews, and rollout changes.
Use cases
Built for teams shipping AI features into the real world.
AI SaaS builders
Protect public apps from abuse and accidental overuse
Keep one signup, one script, or one broken integration from draining shared provider spend.
Agencies
Give each client project real usage limits
Ship AI features faster without rebuilding spend protection for every new workspace.
Agent builders
Stop runaway loops before they become invoices
Guard long chains, retries, and autonomous workflows with traffic rules that live outside app code.
Internal tools
Keep shared provider keys under policy
Route internal traffic through one control layer instead of trusting every team to self-police usage.
Launch your rollout
Launch your AI app without giving users a blank check.
Add hard usage protection, request evidence, and operational controls before model traffic reaches your provider.
Launch updates
Join the launch list
Get release notes, pricing updates, and availability changes as Panicly opens up.