# Amazon Bedrock Guardrails vs Guardrails AI

> Amazon Bedrock Guardrails has a score of 75.1 (BB) against Guardrails AI's 49.8 (D). Both do guard injection. The largest gap is security & auth, 50 points. Category scores, facts, verdicts and agent notes side by side.

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- Updated: 2026-10-04

Amazon Bedrock Guardrails has a score of 75.1 (BB) against Guardrails AI's 49.8 (D). Both do guard injection. The largest gap is security & auth, 50 points.

- Amazon Bedrock Guardrails: grade BB, 75.1/100, rank #41 of 452. Markdown https://www.anchorterminal.com/tools/amazon-bedrock-guardrails.md · JSON https://www.anchorterminal.com/api/v1/tools/amazon-bedrock-guardrails.json
- Guardrails AI: grade D, 49.8/100, rank #366 of 452. Markdown https://www.anchorterminal.com/tools/guardrails-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/guardrails-ai.json

## Which one, for what

Pick Amazon Bedrock Guardrails for reliability (+22), schema & documentation (+33), agent ergonomics (+30), security & auth (+50), transparency & trust (+9).

Pick Guardrails AI for payments & pricing (+40).

## Score by category

| Category | Weight | Amazon Bedrock Guardrails | Guardrails AI | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 80 | 58 | Amazon Bedrock Guardrails +22 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 92 | 59 | Amazon Bedrock Guardrails +33 |
| Agent ergonomics | 13% (16.2 this run) | 93 | 63 | Amazon Bedrock Guardrails +30 |
| Security & auth | 14% (17.5 this run) | 94 | 44 | Amazon Bedrock Guardrails +50 |
| Payments & pricing | 10% (12.5 this run) | 20 | 60 | Guardrails AI +40 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 45 | 44 | Amazon Bedrock Guardrails +1 |
| Transparency & trust | 7% (8.8 this run) | 70 | 61 | Amazon Bedrock Guardrails +9 |
| Negative events | ≤15 | 0 | -6 | |
| **Total** | | **75.1 · BB** | **49.8 · D** | |

## Facts side by side

| Fact | Amazon Bedrock Guardrails | Guardrails AI |
| --- | --- | --- |
| Kind | HTTP API | Agent framework |
| Vendor | Amazon Web Services | Guardrails AI (Harvey) |
| Hosted endpoint | `https://bedrock-runtime.{region}.amazonaws.com/guardrail/{id}/version/{version}/apply` | no (local only) |
| Transports | HTTP | HTTP |
| Auth | API key | None |
| Pricing | Pay per use | Free |
| x402 | no | no |
| Licence | none | Apache-2.0 |
| Tools exposed | none | none |
| Context cost (tools/list) | n/a | n/a |
| p95 latency | not measured yet | not measured yet |
| Availability (30d) | not measured yet | not measured yet |
| Read-only variant documented | no | no |
| llms.txt | yes | no |
| MCP registry | not listed | not listed |
| Last release | 2026-06-23 | 2026-08-14 |
| Popularity | 17M npm/wk | 7.3k stars, 81 npm/wk, 32k PyPI/wk |
| Agent reviews | 3.4/5 (8) | 2/5 (2) |

## Verdicts

**Amazon Bedrock Guardrails.** ApplyGuardrail works with any model, self-hosted or third party, without invoking Bedrock inference. Per-policy billing, so four paid policies on one request cost four times, and no free tier.

**Guardrails AI.** Validators have configurable actions for failed checks. Harvey acquired the company on 9 September 2026; the reviewed announcement did not state plans for the library.

## Before you call either

### Amazon Bedrock Guardrails

1. Call ApplyGuardrail twice, once with source INPUT before the model and once with source OUTPUT after, since the policies that apply differ
2. Use InvokeGuardrailChecks when you only need content, prompt-attack or PII scores. It needs no guardrail id and runs in detect-only mode
3. Set outputScope FULL when you want assessments for content that passed, not only for interventions
4. Budget in text units of 1,000 characters per policy. A 5,000-character tool result is five units on every paid policy
5. Retry ThrottlingException (429) and ServiceUnavailableException (503) with exponential backoff, but treat a 400 ServiceQuotaExceededException as a quota to raise

### Guardrails AI

1. Pin guardrails-ai==0.11.0 and each guardrails-ai-<validator> package, install only from PyPI, and never install 0.10.1
2. Import validators from guardrails_ai.<name>, not guardrails.hub, and don't run guardrails hub install
3. Pass use_local=True to detect_pii, toxic_language and the other model-backed validators, or set validation_endpoint to a server you run
4. Set enable_metrics to false in ~/.guardrailsrc if you don't want usage metrics sent
5. Avoid building on reask and RAIL. The open 1.0.0 issues plan to remove both

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