Others show you what your AI spent.We’re built to tell you what to fix — and stop the bill.

Detect → recommend → enforce → prove. One platform, EU-hosted by design.

Join the waitlist See how it works

EU production

Window: 60m
Ingest: Healthy · 1.4k/min
Data: Illustrative product data

Cost delta vs 7d baseline

+38.2%€43.81 / hr

deploy api-7f2spike at 14:32

Trace activity tr_9af21

otel.export200 accepted14:32:08.412

Recommended action high confidence

Stop the retry loop before the next run.

agent.run repeated 14 times after deployment api-7f2.

How the signal becomes an action

MCP exchange result

telemeter.trace.compare

why did cost rise after the last deploy?

result Retry amplification in tool.search · 14 traces linked

Enforcehard caps
Recommendsix agents
EU-hostedby design
Apache-2.0open core
OpenTelemetrynative ingest
MCPtyped tools

Three doors, one platform

Pick the door that matches what's actually wrong.

Each door is the product itself, not a description of it — the live artifact, planned state, and the one real link in.

Bleeding money?

Spend FirewallIllustrative example

$312 $400BLOCKED

Request declined

Sample request would exceed the cap.

Kill switch — engaged

Spend Firewall

Planned · waitlist

See Spend Firewall →Join the waitlist →

Flying blind?

Trace waterfallIllustrative example

trace_8f21a4 640ms total

agent.run640ms
tool.lookup ×6260msretry
model.generate340ms
otel.export40ms

Signals

Planned · in development

See Signals →

Prompts scattered in your code?

Prompt CMSIllustrative example

v10
v11
v12prod

Prompt CMS

Planned · waitlist

See Prompt CMS →Join the waitlist →

Signal path / 09.104ms

Every production event should end in understanding.

From raw span to bounded recommendation, the evidence stays connected and inspectable.

14:32:08.41201
otel.export200 accepted
1,248 spans entered the EU ingest edge.
14:32:08.69102
baseline.compare+38.2% delta
Cost and trace shape diverged from the seven-day baseline.
14:32:09.10403
recommendation.emithigh confidence
One bounded action was attached to the affected deployment.

Illustrative example — timings and figures are not from a live run.

Product map

Detect → recommend → enforce → prove, mapped to real surfaces.

Each verb links to the product that actually does it: Signals for detect and recommend, Spend Firewall for enforce, the EU-native evidence trail and Evaluations for prove — no slide adjectives, no fourth product.

Detect

Connect model calls, tools, retries, cost, and latency under one run identity — the drift shows up before it becomes a surprise.

Signals →

Recommend

Six narrow analysis agents turn that evidence into one concrete, reviewable fix — not another dashboard to watch.

Signals →

Enforce

Hard per-key spend caps that trip to blocked — not an alert after the bill already moved.

Spend Firewall →

Prove

An EU-native evidence trail and production quality scoring back every recommendation — inspectable, not just claimed.

EU-native →Evaluations →EU AI Act classifier →

Scale the ingest,
sharpen the answer

Unsafe OpenTelemetry shapes are rejected at the edge, before they reach storage or your bill.

See docs

Read-only agents reason over the spans that actually ran. No sampling, and no inference the trace cannot support.

See docs

Every action arrives with the evidence that produced it, so a reviewer can agree or refuse on the facts.

See docs

Spans accepted spans / min

One connected surface

Built around the run, not the dashboard.

Cost

Spend drift, caught at the span

+38.2% vs 7d baseline · deploy api-7f2

Illustrative example

Model, prompt, cache, retry, and tool-call changes that move cost outside the run’s envelope.

Traces

The run as a system

Model calls, tools, retries, cost, latency, and outcomes under one stable run identity.

Agents

Planned analysis agents

Six agents — from cost spikes to model drift — with bounded evidence and reviewable output.

Planned capability

MCP

One way in, alongside Console and email

why did cost rise after the last deploy?

Retry amplification in tool.search · 14 traces linked

Posture

EU-hosted, Apache-2.0 core, self-hostable

Architecture constraints, not footer claims: OpenTelemetry in, documented export paths out.

Trust surface / stated, not implied

Built for explicit operations.

Telemeter is not claiming enterprise badges on day one. It is building the product surface where those claims can become auditable: regions, subprocessors, evidence, limits, and review paths.

Read the provider register

EU residency target

We keep provider regions and processing claims explicit instead of implying certification before launch.

OpenTelemetry first

The ingestion boundary starts from portable traces and attributes rather than a proprietary agent wrapper.

Read-only agents first

Analysis agents are scoped to evidence-linked recommendations before any workflow can make changes.

Self-host path

Storage, queues, and analysis boundaries are documented so portability can become real implementation work.

Draft legal surface

Privacy, cookies, terms, DPA, acceptable use, and sub-processor pages are present from the start.

No fake product claims

Pages separate what's live today from planned capabilities, pricing, tools, and certifications.

Developer path / three commands

Start with the trace. Keep the action inspectable.

Command, code, live environment. OpenTelemetry goes in, analysis stays bounded, and every recommendation arrives with the evidence that produced it.

Open the docs map

$ pnpm create telemeter@latest
$ telemeter dev

Telemetry workbench running at http://localhost:4318

import { trace } from "@opentelemetry/api"

const span = trace
  .getTracer("checkout-agent")
  .startSpan("agent.run")

span.setAttributes({
  "gen_ai.operation.name": "tool.search",
  "telemeter.run.id": runId,
  "telemeter.cost.eur": 0.084,
})

Open utility belt

Useful before you create an account.

Inspect the inputs that shape production cost and reliability with focused, free utilities — the only LLM tools your coding agent can call without a signup, over MCP.

Early access

Join the waitlist.

Pick the door you care about most — we’ll email you when it opens.

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Prefer email? Request early access by email instead.

Others show you what your AI spent.We’re built to tell you what to fix — and stop the bill.

Telemetry workbench

Cost delta vs 7d baseline

Trace activity tr_9af21

Stop the retry loop before the next run.

MCP exchange result

Spend Firewall

Signals

Prompt CMS

Detect

Recommend

Enforce

Prove

Scale the ingest,sharpen the answer

Spend drift, caught at the span

The run as a system

Planned analysis agents

One way in, alongside Console and email

EU-hosted, Apache-2.0 core, self-hostable

Built for explicit operations.

EU residency target

OpenTelemetry first

Read-only agents first

Self-host path

Draft legal surface

No fake product claims

Start with the trace. Keep the action inspectable.

Cost calculator

Token counter

OTel validator

Model comparison

Caching savings

Self-host breakeven

EU AI Act classifier

Context window checker

Cost spike simulator

GDPR readiness checker

MCP schema token-cost

Pricing tracker

Prompt hash lookup

Agent cost decomposer

Embedding/RAG cost estimator

Rate-limit headroom calculator

Carbon/Energy Estimator

LLM Pricing API & Widget

Join the waitlist.

Scale the ingest,
sharpen the answer