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Inferock

Routes inference calls through your own provider keys or hosted models, measuring each response and recording failed checks, timing and usage.

Actively maintained

At a glanceswept Oct 14, 2026

364 installs/mo

Emerging

For
Developers, product teams and enterprises running model inference who need to measure quality, cost and failures per call
Activity
Actively maintainedrelease 10 days ago
Used for
  • measure whether model responses meet app requirements
  • trace failed calls to the evidence recorded for them
  • compare inference spend against usable responses
read off inferock.ai on Oct 15, 2026
Worth knowingcomputed from what we read · each with its source
  • Publishes llms.txt, a file written for AI assistantsinferock.ai ↗
  • Launched on Product Hunt on Oct 14, 2026Product Hunt ↗
Pricingpricing page, read Oct 15, 2026

Price not read

Your datawhat they publish, each line with its page · read Oct 15, 2026

“Content sent for inference is transmitted without account identifiers or customer-identifying metadata; it is not used to train the partner s models and is not retained by the partner beyond serving the request.”

privacy policy ↗

These are Inferock's own statements, read from its pages. We did not audit them. A line that is missing was not found on the pages we read; it does not mean the practice is absent.

Alternatives in LLM operationsby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

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Questions this page answers
  • What is Inferock?

    Routes inference calls through your own provider keys or hosted models, measuring each response and recording failed checks, timing and usage. It is listed in the Atlas under LLM operations.

  • Who is Inferock for?

    Developers, product teams and enterprises running model inference who need to measure quality, cost and failures per call

  • Do people use Inferock?

    Emerging: 364 installs/mo (npm).

  • Is Inferock still maintained?

    Actively maintained: release 10 days ago.

  • Does Inferock train AI on your data?

    Its privacy policy speaks for its AI providers rather than for Inferock itself (2026-10-15): “Content sent for inference is transmitted without account identifiers or customer-identifying metadata; it is not used to train the partner s models and is not retained by the partner beyond serving the request.”

  • What are alternatives to Inferock?

    In LLM operations, by use: OpenRouter, AI21, LangChain, Arize, LiteLLM, Braintrust.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

How we read every tool → · By INITE Atlas Desk