COMPARISON · HOSTED MODERATION APIs

Two evaluations per message?
That adds up.

AWS Bedrock Guardrails bills per text unit, per evaluation — so checking a prompt *and* its response counts twice, and PII redaction or denied-topics add more. Filter8 is deterministic and flat-cost: one sub-millisecond call, every verdict replayable.

Try the playground → See flat pricing
100 free calls · no per-unit metering · run the math on your volume.
Flat, not per-unit-per-eval
Guardrails bills per text unit and per evaluation — input and output each cost. Filter8's marginal cost is compute, so filtering everything stays roughly flat.
Sub-millisecond, in-process
A hosted guardrail is a network hop on every check. Filter8 decides in microseconds — fast enough to sit synchronously on a send-time path.
Deterministic & PII-aware
A replayable verdict plus built-in phone/email/URL classifiers — no separate per-unit PII-redaction charge, and nothing retained after the response.

AWS Bedrock Guardrails vs Filter8

CAPABILITY AWS Bedrock Guardrails Filter8
Cost modelPer text unit, per evaluation (input + output)Flat — marginal cost ≈ compute
LatencyHosted round-tripSub-millisecond, in-process
ApproachHosted policy + ML filtersDeterministic engine
OutputBlocked / masked + assessmentVerdict + clean_text
Explainable / replayableAssessment fields✓ reproducible explain trace
Data residencyText sent to AWSNothing retained after the response
Evasion (leet · homoglyph · spacing · zero-width)Model-dependent26 classes, deterministic
Contact / PII (incl. spelled-out)PII filter (extra units)Built-in classifiers
Rating-aware (E–M · minors)—Per-rating, per-category ceilings
LLM guardrails (denied topics · grounding)✓— content filter only
AWS Bedrock Guardrails is an Amazon Web Services product. Comparison as of July 2026 based on public information and Filter8's positioning; pricing and capabilities change — verify current AWS rates and features before relying on specifics.
THE MATH THAT MATTERS

Billed per evaluation means billed twice.

Guardrails is billed per evaluation, so a chat app that checks the user's message and the model's reply pays for two — before you add PII redaction or denied-topics as further charges. On high-volume traffic that per-unit tax compounds fast.

Filter8's marginal cost is compute, so filtering the prompt and the completion is the same flat cost as filtering anything else. Price your monthly volume against the per-unit rate — then double it for input + output — and compare a flat plan.

WHERE AWS GUARDRAILS WINS

Honest about the trade

If you're building on Amazon Bedrock and want guardrails that live natively next to your models — denied topics, contextual grounding checks, and policy management inside the AWS console with its compliance posture — Bedrock Guardrails is the natural fit for that LLM-safety job. Filter8 is deliberately narrow: the fastest, cheapest, most private path for high-volume text moderation, and it sits happily alongside Bedrock for the model-guardrail parts.

AWS Guardrails comparison questions

How much cheaper is Filter8?
It depends on volume, but Guardrails bills per text unit per evaluation — input and output each count — while our marginal cost is compute. The more you filter, and the more you check both sides, the wider the gap.
Does Filter8 do denied topics and grounding?
No — those are LLM-app guardrails. Filter8 is a deterministic content filter (profanity, evasion, PII, rating-aware). Use Bedrock for model guardrails and Filter8 for the high-volume text path.
Is deterministic accurate enough?
For known patterns and evasion on the hot path, yes and far faster. Route the ambiguous tail to a model asynchronously.
Where does my text go?
Managed keeps nothing after the response; logs record offsets, not substrings — nothing is handed to a third-party model.
COMPARE MORE
vs Hive — ML moderation → vs Sightengine — moderation API → vs OpenAI — the free classifier →

Stop paying per evaluation.

Filter the prompt and the reply for one flat cost. 100 free calls, no card, no per-unit meter.

Get an API key Open the playground