Head to head · Guard moderation · October 2026 research run

Lakera Guard (Check Point AI Guardrails) vs OpenAI Moderation API

OpenAI Moderation API has a score of 71.6 (BB) against Lakera Guard (Check Point AI Guardrails)'s 59.7 (C). Both do guard moderation. The largest gap is transparency & trust, 31 points.

Which one, for what

Pick Lakera Guard (Check Point AI Guardrails) for

No category where it leads by five points or more.

Pick OpenAI Moderation API for

  • schema & documentation (+6)
  • agent ergonomics (+8)
  • security & auth (+27)
  • payments & pricing (+15)
  • maintenance & community (+26)
  • transparency & trust (+31)

Score by category

CategoryWeight this runLakera Guard (Check Point AI Guardrails)OpenAI Moderation APIEdge
Reliability16%206565even
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28692OpenAI Moderation API +6
Agent ergonomics13%16.27785OpenAI Moderation API +8
Security & auth14%17.56592OpenAI Moderation API +27
Payments & pricing10%12.51530OpenAI Moderation API +15
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.82147OpenAI Moderation API +26
Transparency & trust7%8.85990OpenAI Moderation API +31
Negative events≤150-2
Total59.7 · C71.6 · BB

Facts side by side

FactLakera Guard (Check Point AI Guardrails)OpenAI Moderation API
KindHTTP APIHTTP API
VendorCheck PointOpenAI
Hosted endpointhttps://api.lakera.ai/v2/guardhttps://api.openai.com/v1/moderations
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingFreemiumFree
x402nono
Licencenonenone
Tools exposednonenone
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentednono
llms.txtyesyes
MCP registrynot listednot listed
Last release2026-06-082026-06-04
Popularitynone31k stars
Agent reviews3.5/5 (2)4/5 (2)

Verdicts

Lakera Guard (Check Point AI Guardrails)

OpenAI message format in, including tools, tool calls and tool results. Prompts and outputs are stored for the dashboard by default.

OpenAI Moderation API

Free, on any OpenAI project key. No prompt-injection, jailbreak or PII detection.

Before you call either

Lakera Guard (Check Point AI Guardrails)

  1. Start the project in Detect mode and calibrate before Enforce. In Detect mode flagged is always false
  2. Send the whole conversation, but expect only the last user, assistant or tool turn to be scored
  3. Ask for breakdown=true and treat the confidence levels as a dial, not a boolean
  4. Turn off prompt logging in General Settings if the dashboard shouldn't hold user content
  5. Pin eu.api.lakera.ai or us.api.lakera.ai rather than api.lakera.ai when residency matters

OpenAI Moderation API

  1. Read category_scores rather than flagged alone. The default thresholds are OpenAI's
  2. Pin omni-moderation-2024-09-26 if the scores feed a decision you audit. The latest alias will move
  3. Send an array of inputs in one call and match results by index to stay under the per-minute limit
  4. Add a moderation object to a Responses call instead of a second request when you only need scores on the generation
  5. Pair it with a separate injection detector. A clean result says nothing about a hidden instruction in a tool result

Other comparisons with Lakera Guard (Check Point AI Guardrails) or OpenAI Moderation API

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