Apertis vs Foglamp

Apertis and Foglamp are both inference engines & infra tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Apertis

Apertis functions as an API gateway layer that sits between your coding agents — Cursor, Cline, Claude Code and the like — and the underlying model providers. You point your agent at one endpoint, authenticate once, and the platform handles provider routing, failover, and cost tracking behind it. The vendor states that automatic failover keeps production agents running when a provider has an outage, which removes a class of silent failures teams usually discover too late. The free tier covers basic models with no payment required; premium models and higher quotas are paid-only features. The platform is cloud-only — no self-hosted option — so your API traffic routes through Apertis infrastructure, and teams with data-residency requirements hit that wall immediately.

Foglamp

Foglamp is an observability layer built for production AI agents: two lines of SDK integration wrap every `generateText` and `streamText` call and surface cost, latency, distributed traces, per-agent spend, and output quality in one place. The instrumentation is designed specifically around the Vercel AI SDK, so teams already on that stack see immediate coverage without rethinking their pipeline. Evals and alerts let you catch output regressions before users file support tickets. The ceiling appears when your stack moves outside Vercel AI SDK conventions — the docs describe no native integrations for other frameworks, and teams on LangChain or custom agent loops will need to assess how much of the trace fidelity carries over.

Attribute	Apertis	Foglamp
Pricing	Paid	Paid
Price	$33/quarter	$49/month
Free trial	No	No
Open source	No	Yes
Has API	Yes	Yes
Self-hosted option	No	No
Platforms	Web-based API; CLI/TUI agents via supported integrations	—
Pros	Single API endpoint for multiple model providers, so rotating a compromised key or switching a model mid-project touches one config entry instead of one per agent per provider. Automatic provider failover is built into the routing layer, which means a production coding agent keeps running through an upstream outage instead of throwing an unhandled exception at the worst possible time. Unified billing across providers, so monthly AI infrastructure cost is one line item rather than a reconciliation exercise across five separate vendor invoices. New model versions are added to the platform automatically per vendor documentation, so your agent gains access without a credentials update or a config change on your end. Free tier covers basic models with no payment required, which means a team can validate the integration and routing behavior before committing budget to premium model access.	Two-line SDK instrumentation wraps every Vercel AI SDK call automatically, so you get cost and trace coverage without rewriting your agent logic or adding per-call boilerplate. Per-agent spend breakdown attributes token costs to individual agents or orchestrator steps, which means a cost spike is diagnosable in the dashboard rather than requiring a manual log scrape across your pipeline. Distributed traces across the full call flow let you see exactly which step added latency, so performance regressions don't require you to reproduce the issue locally. Output quality evals with configurable alerts catch answer regressions before users encounter them — the failure mode Foglamp exists to prevent is a customer complaint thread, not a monitoring page. API access is available, so teams that want to pull observability data into existing dashboards or incident workflows are not locked into the Foglamp UI.
Cons	No self-hosted deployment option exists — all API traffic routes through Apertis cloud infrastructure. Teams with data-residency requirements, HIPAA obligations, or any compliance posture that restricts where model prompts travel cannot use this platform and will move to a self-hostable gateway like LiteLLM or a direct provider integration instead. The value proposition depends entirely on the providers Apertis has contracted with at any given moment. If your agent's critical model — a specific Anthropic version, a fine-tuned endpoint — is not available through the platform, you are back to maintaining a direct integration alongside the gateway, which recreates the fragmentation problem you were solving. Cost predictability, which the platform positions as a core benefit, breaks down if your agent usage is highly variable and you are comparing against a pay-per-token direct model. Flat subscription pricing on a low-usage month means you overpay relative to direct API access — teams that run bursty, project-gated workloads rather than continuous agent pipelines see worse economics here.	The SDK integration is documented specifically around `generateText` and `streamText` in the Vercel AI SDK — teams running LangChain, LlamaIndex, or custom agent frameworks get no native wrapping, and at that point they are either writing manual instrumentation or evaluating a framework-agnostic alternative like Langfuse or Helicone. All telemetry routes through Foglamp's cloud infrastructure; self-hosting is not offered, which means any team with strict data-residency or compliance requirements is blocked at the architecture stage before the first line of instrumentation is written. Evals and alert thresholds require upfront configuration to return signal — teams that ship without defining quality criteria first get cost and latency data but no regression detection, which is the half of the value proposition that justifies the instrumentation cost.

Bottom line

Foglamp is open source. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Apertis and Foglamp?

Apertis is Paid, while Foglamp is Paid and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Apertis better than Foglamp?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.