inquir

inquir

Inquir Compute is a gateway-first serverless platform that runs containerized Node.js, Python, and Go functions behind a unified API gateway with built-in cron, webhooks, background pipelines, observability, and preinstalled AI layers for LLM and agent backends.

inquir is ai agents software teams evaluate for ai agents. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Freemium API Enterprise 75/100
#512 in AI Agents (512 tools)
Just launched
Data reviewed Sep 4, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: AI Agents

What it does

AI Agents software for decision-makers comparing workflow fit and alternatives.

Best fit

AI Agents

Pricing snapshot

Freemium from $0 during beta

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inquir

Inquir Compute is a serverless platform that combines an API gateway, serverless function runtimes (Node.js 22, Python 3.12, Go 1.22), cron schedules, webhooks, and multi-step pipelines on a single control plane. It runs functions in isolated containers with hot container pools to reduce cold starts, provides per-function environment and secret handling, and exposes live HTTPS endpoints on every deploy. The platform is designed for developer and team workflows—shipping REST APIs, webhook processors, background jobs, cron schedules, and LLM/agent backends without managing Kubernetes or separate ingress.

Inquir includes observability (logs, traces, execution history, latency views) and durability features for background jobs (retries, dead-letter, per-key concurrency, idempotency), plus preinstalled AI layers and token streaming to support LLM-based features and agentic workflows.

Inquir is a search-as-a-service platform with advanced search and RAG capabilities.

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Key Features

API Gateway

Ship public HTTP APIs and webhooks on serverless functions with route-level auth, path parameters, CORS, rate limits, and automatic live HTTPS endpoints on every deploy — no separate ingress layer to manage.

Pipelines & Background Jobs

Run cron jobs, webhook-triggered workflows, and multi-step background jobs as serverless pipelines with staged work, retries, fan-out, durable retries, and dead-letter queue support.

Serverless Runtimes (Containers)

Run isolated functions in real containers across Node.js, Python, and Go (container runtimes support native modules, headless browsers, ML libraries), hot containers to reduce cold starts, and the ability to deploy Dockerfiles when desired.

Observability

Unified logs, traces, execution history, and latency views for route handlers, scheduled runs, and async jobs with structured logs and propagated trace context.

Environment & Config

Per-function environment variables configurable from the test panel (Config → Environment) or the API, values injected at runtime, and secret-shaped strings redacted from logs and traces.

Preinstalled AI Layers & LLM Support

OpenAI, Anthropic, and Hugging Face clients come preinstalled as layers; token streaming to the browser works out of the box for LLM features and long-running model calls.

Durability & Reliability

Long-running model calls and multi-step chains supported, with automatic retries, dead-letter handling, per-key concurrency, and idempotency keys for reliable background processing.

Pricing

Free Tier Available

Free during beta: 1 workspace, 10K invocations per month, includes hot containers and API Gateway + cron. No credit card required.

Free

$0 during beta
  • 1 workspace
  • 10K invocations / month
  • Hot containers
  • API Gateway + cron

Starter

$29 / month
  • 5 workspaces
  • 500K invocations / month
  • Pipelines & webhooks
  • Priority support

Pro

Custom
  • Unlimited workspaces
  • Unlimited invocations
  • SLA & dedicated runners
  • Custom integrations & single source of truth

Use Cases

AI agent backend

Run production AI agents, RAG pipelines, and token-streaming LLM features with preinstalled AI layers and end-to-end tracing.

Cron jobs & scheduled pipelines

Schedule cron jobs with full cron expressions, run history, retries, and versioned schedules without external schedulers like EventBridge.

Webhook processors

Handle Stripe, GitHub, Slack and other webhooks: verify signatures (timing-safe HMAC), fast ACKs, idempotent side effects, dedupe delivery IDs, and asynchronous fulfillment.

Background jobs & async pipelines

Move slow or async work off HTTP requests into serverless pipelines with retries, fan-out, DLQ, and per-key concurrency controls.

REST API endpoints

Serve function-sized routes behind one gateway with route groups, path parameters, streaming responses, and no separate ingress to configure.

LLM pipelines & agent tooling

Compose staged retrieval, tool calls, summarization, and tracing for LLM-driven features and workflows.

CSV / PDF processing and ETL

Chunked async imports, idempotent upserts, progress tracking for CSV; async generation/extraction for PDFs with object storage; nightly ETL with incremental watermarks.

Integrations

OpenAI / Anthropic / Hugging Face

Clients are provided as preinstalled layers to build LLM features and token streaming without packaging dependencies.

Stripe, GitHub, Slack (webhooks)

Common webhook processors supported (HMAC verification, idempotency, fast ACK patterns, dedupe delivery ID handling).

Dockerfiles / npm / pip

Deploy containers from a Dockerfile and bring any npm or pip package; native modules and ML libraries are supported in full container runtimes.

Benefits

No infrastructure to manage: deploy functions, gateway routes, and schedules without Kubernetes, EventBridge, or separate ingress.
Reduced cold starts via hot container pools so repeat invocations are fast after initial warm-up.
Unified developer experience for APIs, cron, webhooks, background jobs, and LLM features with built-in observability and preinstalled AI tooling.

Limitations

The very first request after a deploy may take the cold path; hot containers keep subsequent invocations warm.
Free tier rejects extra invocations beyond 10K/mo during beta rather than billing overages.
Platform is in beta (Free during beta) and some enterprise features require Pro / contacting sales.

Frequently Asked Questions

Is it really free to start?
Yes. The Free tier is free during beta — 10K invocations/mo, hot containers, full API Gateway. No credit card required.
Do I need Docker or Kubernetes?
No. Write a function, click Deploy, and get a URL. Inquir builds and runs the containers for you — you never touch a Dockerfile or a cluster.
How is it different from Vercel or Cloudflare Workers?
Inquir runs real containers with full Node.js, Python, or Go (no edge-runtime restrictions), preinstalled AI layers, and serverless pipelines — not edge isolates or git-centric deploys.
What happens if I exceed my invocation limit?
On Free, extra invocations are rejected gracefully — no surprise bills. On paid plans Inquir notifies you before any action.
Is my code secure?
Each function runs in its own isolated container with no network access by default. Per-function environment variables can be configured in the editor and secret-shaped strings are redacted from logs and traces.

Getting Started

  1. 1 Create an account and start for free (Free tier during beta with 10K invocations/mo).
  2. 2 Install and authenticate the CLI: npm i -g @inquir/compute-cli && inquir login.
  3. 3 Write a function in the browser editor or locally, click Deploy (or run inquir deploy), then call the live HTTPS endpoint with fetch/curl or invoke via the CLI.

Support

email

Contact product/support at [email protected]

docs

Product documentation and guides linked from the site (Docs).

live demo

Watch a live serverless deploy and demo on the site without logging in.

API

Available: Yes

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