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INK

Per-minute PaaS built for agent-deployed apps — auto stack detection, MCP-readable logs and credit balance

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freemiumUsage-based billing sits on top of four plan tiers. Free Trial is $0 with $5 of one-time usage credits, 0.5 total vCPU and 512 MiB memory, up to 0.25 vCPU per service, 3 services and 10 GiB storage, no credit card required. Hobby is $5 per month including $5 of monthly usage credits, 10 total vCPU, 20 GiB memory, 25 services and 50 GiB storage. Pro is $20 per month including $20 of monthly credits, 100 total vCPU, 80 GiB memory, up to 8 vCPU per service, 200 services and 250 GiB storage. Enterprise is custom-priced with OIDC/SSO, private or air-gapped deployment and a custom SLA. Metered rates above included credits are published as $0.000161 per GB of memory per minute, $0.000393 per vCPU per minute, $0.0000035 per GB of persistent volume per minute, free ingress and $0.05 per GB of egress.View full pricing →

About INK

INK is a hosting platform designed on the assumption that the thing deploying your code may not be a person. It positions itself as cloud infrastructure for agent-built apps: no Dockerfiles, no CI pipelines, no infrastructure config. You push to INK's own git remote or connect a GitHub repo, or you let a coding agent push through the CLI, an agent Skill, or MCP, and INK detects the stack — Next, Rails, FastAPI, Go — builds it, and serves it on a URL with automatic TLS on a custom domain. Postgres and Redis templates and persistent volumes sit alongside app services, so stateful workloads live in the same canvas rather than a separate console. Billing is per-minute while a service runs, which matters for the agent case where a dozen short-lived preview environments are normal. The part that distinguishes INK from a generic PaaS is that every observability surface is dual-addressed: a human dashboard with filterable logs and real-time metric charts, and the identical signals reachable programmatically through the CLI, Skills and MCP, so an agent can read its own error logs and iterate without a human relaying them. Agents can also query their remaining credit balance over MCP, which is the vendor's answer to runaway autonomous spend. The published integration list covers Claude Code, Cursor, Codex, Gemini CLI, Windsurf, VS Code, Kimi Code, Open Code, Antigravity and Goose.

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Key Features

Git-push or agent-push deploys with automatic stack detection
Postgres and Redis templates plus persistent volumes beside app services
Per-minute billing only while a service is running
CLI, agent Skills and MCP access to deploys, logs and metrics
Agents can query their own credit balance before spending
Custom domains with automatic TLS and auto-redeploy from GitHub

INK Pros & Cons

Pros

  • +Observability is genuinely agent-addressable, not just a dashboard for humans
  • +Per-minute metering fits short-lived agent-created environments better than monthly instances
  • +Balance-visible-to-agent design is a real guard against autonomous overspend

⚠️ Cons

  • Per-service compute ceilings are modest below Enterprise
  • SSO and private deployment are gated behind a sales conversation
  • Newer platform, so the stack-detection list is narrower than an established PaaS

Tags

deploymentpaasmcpagent-infrastructureobservabilityusage-based
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