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PromptLayer vs Tessl

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors. PromptLayer starts at $49, Tessl at $100. Both have a free tier. Only PromptLayer ships a public API.

PromptLayerPrompt versioning, evals and tracing for LLM engineering teamsTesslRegistry and governance layer for the skills your coding agents run - versioned, security-scanned and evaluated

Side by side

FactPromptLayerTessl
CategoryPrompt Management & VersioningPrompt Management & Versioning
Pricing modelFreemiumFreemium
Starts at$49 month$100 month
Public APIYesNo
PlatformsWeb, APIWeb
CompanyMagniv, Inc.Tessl AI Ltd
Last verifiedSep 6, 2026Sep 6, 2026

What our research says

PromptLayer

The right pick when the people who actually own your prompt wording are product or domain experts rather than engineers; if prompts live in git and only engineers touch them, Langfuse or Braintrust cover the same ground with less product surface.

Pros

  • Visual prompt editing plus deployment approvals is a genuine differentiator over log-only observability tools
  • Free tier includes 5 users and eval executions, not just request logging
  • Prompts are fetched at runtime via SDK or REST, so no redeploy is needed to change one
  • HIPAA with BAA and flexible hosting are offered on enterprise, which most prompt tools skip

Cons

  • The jump from Pro at $49/month to Team at $500/month is a tenfold step with no tier between
  • Free tier caps at 2,500 requests/month, which a modest production app exhausts quickly
  • Runtime prompt fetching puts a third party in your request path unless you cache
  • Crowded category — Langfuse, Braintrust and LangSmith all overlap heavily

Tessl

Once a team standardises on coding agents, skills sprawl and nobody knows which ones help or whether any of them are safe. Tessl is the control layer for that: a scanned, versioned registry with evaluation attached, and the distinction between published skills and skills agents actually activate is a genuinely useful metric. The risk is that it governs a convention the ecosystem is still inventing.

Pros

  • Security scanning on skills before they reach an agent, which a plain public registry does not do
  • Evaluation tells you whether a skill actually helped instead of assuming it did
  • Separates skills that are published from skills agents genuinely activate
  • Free tier includes 1,000 credits a month and needs no card

Cons

  • Credits are the billing unit and the credit-to-work conversion is not published
  • Only useful if your team has already standardised on agents like Claude Code, Cursor or Copilot
  • $100 a month is a large step from free for a fivefold credit increase
  • No founding year, headcount or funding total is published on the site

Which one fits

Choose PromptLayer if you need

  • Teams letting PMs, content or domain experts edit production prompts without a deploy
  • Regression-testing prompt changes against a labelled dataset before rollout
  • Tracing a bad production output back to the exact prompt version and cost

Choose Tessl if you need

  • Engineering organisations standardised on Claude Code, Cursor or Copilot at scale
  • Platform teams that need policy and security review over agent skills
  • Teams who want evidence a skill improves output rather than assuming it does

More comparisons

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