Each function runs in an isolated container with no network access by default. You configure per-function environment variables in the editor; observability masks common secret-like patterns in logs and traces.

Free during beta · No credit card required

Serverless platform for
AI agents, APIs & automation

Q: Do I need Docker or Kubernetes?

No. Write a function, click Deploy, get a URL. Inquir handles containers under the hood.

Q: How is it different from Vercel or Cloudflare Workers?

Inquir runs real containers — full Node.js 22, Python 3.12, or Go 1.22. Any npm package, up to 5 min runtime, pre-built AI layers. Edge runtimes can't do that.

Q: What happens if I exceed my invocation limit?

On Free, extra invocations are rejected gracefully — no surprise bills. On paid plans we notify you before any action.

Run AI agents, APIs, webhooks, cron jobs, and background jobs in one place — without Kubernetes. Inquir deploys Node.js, Python, and Go functions behind one gateway with logs, pipelines, and optional hot containers.

terminal

$ inquir deploy --template ai-summarizer

✓ Building container 1.2s

✓ Hot runner started 0.3s

✓ Endpoint ready

$ curl -X POST https://app.inquir.org/gw/ws/ai-summarizer \

-d '{"url": "https://techcrunch.com"}'

{

"summary": "AI funding surges as enterprise adoption...",

"wordCount": 824

} 200 OK · 38ms

60sto first endpoint

3runtimes (JS, Py, Go)

99.9%uptime SLA

Platform Features

Everything you need to ship backend logic

No more stitching schedulers, gateways, and ad-hoc VMs. One platform, one deploy path.

Hot Containers

Warm containers reduce cold-start impact on steady traffic. First deploy still takes a cold path — then it stays hot.

Isolated Execution

Each function runs in its own container with no network access by default. Secrets are managed per-function.

Built-in API Gateway

Every function gets a live HTTPS endpoint on deploy. Route groups, path params, and streaming included.

Cron Scheduling

Set cron expressions directly in the editor. No external schedulers, no glue code — just deploy.

3 Runtimes

Write in Node.js 22, Python 3.12, or Go 1.22. Any npm/pip package, up to 5 minute runtime.

AI-Ready Layers

Pre-installed AI/ML packages and streaming support. Build LLM pipelines and agent workflows out of the box.

How it works

One serverless platform for Node.js, Python, and Go

From idea to live API endpoint — without touching infrastructure.

Write

Code your function in the browser. Node.js, Python, or Go.

handler.ts

import { Handler } from "inquir";

export default Handler(async (ctx) => {

const { url } = await ctx.body;

const summary = await ai.summarize(url);

return { summary, timestamp: Date.now() };

});

Deploy

Click deploy. Hot containers warm frequent routes; first spin-up can still be a cold path.

terminal

$ inquir deploy

✓ Building container 1.2s

✓ Hot runner started 0.3s

✓ Endpoint ready

→ https://app.inquir.org/gw/ws/ai-summarizer

Call

Your function is a live API endpoint. Call it from anywhere.

app.tsx

// From your frontend

const res = await fetch(

"https://app.inquir.org/gw/ws/ai-summarizer",

{

method: "POST",

body: JSON.stringify({

url: "https://example.com"

})

}

);

Hot containers, API gateway, cron scheduling, and observability

Docs

Same deploy path across runtimes — add streaming and observability when you need them.

main.go

package main

import (
  "context"
  "encoding/json"
  "net/http"
)

func Handler(ctx context.Context, w http.ResponseWriter, r *http.Request) {
  var body map[string]any
  _ = json.NewDecoder(r.Body).Decode(&body)
  w.Header().Set("Content-Type", "application/json")
  _ = json.NewEncoder(w).Encode(map[string]any{
    "runtime": "go",
    "echo":    body,
  })
}

See a serverless deploy end to end

This is what deploying looks like — from code to live endpoint.

Use Cases

Use cases: AI agents, webhook processors, background jobs, REST APIs

Pick your use case and go live in minutes.

AI Agent

Summarize pages, process documents, run LLM pipelines

LLMRAGStreaming

Cron Job

Scrape prices, send reports, sync data — on schedule

ScheduledSyncETL

Webhook Processor

Process Stripe, GitHub, Slack events with built-in retry logic

StripeGitHubRetry

Comparison

Why teams choose Inquir instead of stitching services together

APIs, webhooks, cron jobs, and background jobs — without Kubernetes.

Each cell reflects the platform’s core use case. Lambda wins deep inside AWS; Workers wins at the edge; Modal wins for GPU Python. Inquir’s sweet spot: one gateway-first control plane for APIs, webhooks, background jobs, cron, and LLM pipelines.

FeatureInquirAWS LambdaCloudflare WorkersVercelModal

Container runtime (Node/Py/Go)(edge isolates)limitedlimited

Built-in cron + scheduleslimited

Background jobs + pipelineslimitedlimited

Browser IDE + deploy

Pre-built AI layerslimited

Multi-tenant routing built-in

Pricing

Simple pricing

Start free, scale as you grow.

Free

Get started

$0forever

1 workspace
10K invocations / mo
Hot containers
API Gateway + cron

Starter

For teams

$29/ month

5 workspaces
500K invocations / mo
Pipelines & webhooks
Priority support

Pro

No fixed list price

Custom

Unlimited workspaces
Unlimited invocations
SLA & dedicated runners
Custom integrations & SSO

Talk to us

No hidden compute multipliers. Predictable limits. Cancel anytime.

FAQ

Common questions

Is it really free to start?

Yes. The Free tier is free forever — 10K invocations/mo, hot containers, full API Gateway. No credit card required.

Do I need Docker or Kubernetes?

How is it different from Vercel or Cloudflare Workers?

What happens if I exceed my invocation limit?

Is my code secure?

Ready to ship your next backend function?

The simplest way to run AI agents and backend jobs without infrastructure.

Inquir Compute is a serverless platform for AI agents, API endpoints, cron jobs, and webhook processors. Write a function in Node.js, Python, or Go, then deploy and get a live endpoint fast. You also get a built-in API Gateway, cron scheduling, environment variables, and observability.

Inquir helps startups and SaaS teams ship backend features quickly. Hot containers reduce cold starts on repeat traffic, and isolated execution keeps workloads secure. According to the Inquir docs, teams can run APIs, pipelines, and webhook flows without stitching many tools.

Serverless platform forAI agents, APIs & automation