YOUR SOURCEEXAMPLE
18,420 tokensIllustrative input, not a benchmark result
Fits the way your AI already works
OpenAIClaudeGeminiCodexMCPREST API
THE CONTEXT WORKSPACE
One request.
Only what it needs.
See the context that reached your model, the tokens you avoided and the safeguards that passed—without exposing customer content in analytics.
Try the live playgroundILLUSTRATIVE DASHBOARD · EXAMPLE DATA
Last 30 days Your savings, made visible.
RECENT REQUEST
Long support history → focused answer context
18,420original tokens12,489optimized context
Account facts, dates and user instructions preserved.
01
Send contextKeep source and task separate.
02
VerifyReceive a safe candidate or original.
03
Use itChoose your own next workflow.
Interactive ROI Estimator
Calculate your team’s projected savings.
Adjust your estimated monthly LLM token volume and model family to see projected dollar savings and latency gains with TrimLayer.
Standard input price. Cached input, output, tools and provider-specific surcharges are excluded.
Projected Impact
Estimated Monthly Savings$38 / month
$456Annualized net savings
19.0MTokens pruned / mo
Evidence-preserving safety gates
Instant fail-safe fallback to original
Use the result in your own workflow
Get started
Start saving in three simple steps.
Try your context, receive safe optimized context, then use it in the AI workflow you already own.
01
TRY IT
Open console 02See your potential savings
Paste a context and see how much can be removed without losing what matters.
CONNECT
View quickstart 03Get optimized context
Send source and task, then use the returned context in your own model call.
GROW
Explore controls Track results over time
See usage, savings and the requests we chose not to change.
02Save more.
A smarter way to send context
Save more.
Keep control.
Keep what matters.
Remove the rest.
TrimLayer finds the useful parts of a request and protects important numbers, instructions and details.
Our promiseOnly reduce when it is safe
REQUEST CONTEXTLIVE TRACE
Protected evidencelocked
Relevant passagekept
Candidate context−32.2%
Not sure? Nothing changes.
If we cannot protect the context with confidence, your original request goes through unchanged.
Schema recognizedrequired
Evidence concentratedrequired
Any gate failsOriginal request →
See the savings first.
Compare potential savings before changing anything in your live application.
Production payloadunchanged
Candidatemeasured
Evaluation coveragetraffic risk: none
Keep structures intact.
Optimize text, JSON, tool output and code context without requiring a provider-specific request envelope.
TextFocused
JSONProtected
CodeBounded
Return optimized_context · use anywhereRoll out by model and task.
Canaries, drift detection and kill switches keep optimization scoped and reversible.
01Canaryscoped
02Drift watchlive
03Kill switchready
03Optimize first.
Integration
Optimize first.
Choose what happens next.
TrimLayer returns the smallest safe context for your AI application while keeping the original source exactly recoverable. Send source context separately from the task, then decide where to use the returned optimized_context.
client.ts
const result = await fetch("https://api.trimlayer.com/v1/context/optimize", {
method: "POST",
headers: {
"X-TrimLayer-Key": process.env.TRIMLAYER_KEY!,
"Content-Type": "application/json"
},
body: JSON.stringify({
content: longSourceContext,
query: "Which conditions apply?",
domain: "auto"
})
}).then((response) => response.json());
// Use this in the model, RAG or agent call you own.
const contextForYourAI = result.optimized_context;01Send source
Keep source and task separate.
02Receive context
Use accepted optimized_context or the protected original.
03Choose next
Send it to the model, RAG or agent workflow you own.
A boundary, not a black box
Know what changed.
Know why it was safe.
Every request produces a content-free decision trail. Accepted candidates expose their reduction, protected structures and recovery or fallback path.
Read the safety modelDECISION PROOF accepted
req_91a2 / recoverable-tool-v1production
StructureNative envelopePreserved
CredentialsTrimLayer keyProvider key not accepted
FallbackOriginal sourceReady
TelemetryContent-freeRecorded
Illustrative · 18,420 original12,489 returned−32.2%
BUILT FOR CONTEXT-HEAVY PRODUCTS
Your workflow stays.
The waste does not.
Use TrimLayer wherever repeated history, retrieved documents or large structured payloads are sent to an AI model.
Send the answer-bearing evidence, not the entire library.
Query-aware selection keeps the relevant facts and linked evidence available while lower-priority context remains recoverable.
12,4807,910illustrative example
Read the RAG optimization guide Long conversations.
Focused next turns.
Preserve the customer’s current issue, commitments and account facts without replaying every old message.
Stop paying for the same context at every step.
Share verified evidence across multi-step agents and recover exact source context only when it is needed.
Read the agent context guideProtect the structure. Reduce the surrounding load.
Schemas, tool arguments and code boundaries stay intact while safe surrounding context is selected.
04
Preview pricing
Start with measurement.
Simple plans for safe context optimization. Your application independently controls any downstream model usage.
Growth checkout is available when Stripe is configured for the deployment. Downstream model usage remains outside TrimLayer.
Start with zero traffic risk