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The intelligence layer for telemetry

Your telemetry
has a new user.

Tero builds a continuously maintained understanding of the telemetry in your existing stores, then uses it to find and resolve cost, compliance, and reliability issues.

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  • Connect read-only.
  • Keep your existing stack.
  • Nothing to deploy or re-pipeline.
  • Every finding backed by raw evidence.

How Tero works

The agent-native
telemetry layer.

One continuously maintained understanding of your telemetry, shared across Tero Issues, Tero Actions, and every agent connected through Tero MCP.

01

Tero Index

Understands and maintains telemetry context.

02

Tero Issues

Detects, investigates, and proves real problems.

03

Tero Actions

Provides controlled ways to resolve them.

04

Tero MCP

Gives every agent access to the same context.

TERO · ONE INTELLIGENCE LAYER
Datadog
ClickHouse
S3
CloudWatch
Elastic
R2
GCP Logging
Built by the creator of Vector, OpenTelemetry maintainers, and engineers who have operated telemetry at scale.
01 · TERO INDEX

Your telemetry, understood and kept current.

Tero Index maintains a living understanding of the telemetry across your existing stores: what exists, what it means, where it comes from, how it behaves, and who owns it.

ASK THE INDEX
Indexproduction · 18 services · 896 event types · 87.3M records/hr
382 event types · grouped by Service · colored by Change · 16.2M rec/hr · $1,449/mo
api-gateway89
analytics-pipeline85
checkout-svc78
billing-svc69
warehouse-sync67
orders-svc61
auth-svc57
search-svc52
fraud-svc48
mobile-api46
recommendations44
feature-store37
cart-svc36
sessions-svc32
notifications29
catalog-svc28
email-worker21
admin-api17

Know what exists

See the telemetry produced across every connected store.

Understand what it means

Purpose, source, domain, outcome, ownership, and value.

See what changes

New, missing, growing, declining, and changing telemetry.

Inspect the evidence

Move from any conclusion to examples, trends, and raw records.

02 · TERO ISSUES

Problems investigated before they become fire drills.

Tero continuously looks for telemetry waste, sensitive data, and reliability risk. Every issue arrives investigated with scope, impact, ownership, raw evidence, and a recommended next step.Explore the live demo

Telemetry waste

Duplicate, unused, over-retained, and high-volume telemetry delivering little or no value.

Sensitive data

Personal data, payment information, secrets, and tokens found with examples, sources, and owners.

Reliability risk

Retries, recurring failures, degraded dependencies, and quiet patterns that can become incidents.

03 · TERO ACTIONS

Give every issue a path to resolution.

Deploy policies for cost and compliance issues, hand engineering work to coding agents, or let teams own issues through the workflows they already use. Automate routine, high-confidence actions and review everything else.

TELEMETRY POLICY
id: drop-gateway-route-hops
log:
  match:
    - log_field: event
      equals: middleware_request
  keep: none
Reviewed · platformReversibleApply
ENGINEERING WORK

Hand issues directly to coding agents.

Send the completed investigation, affected service, ownership, evidence, and raw records over MCP.

Claude CodeCodexYour agents
TELEMETRY GOVERNANCE

Let teams own their telemetry.

Route evidence-backed issues to the responsible teams through the workflows they already use.

Explore telemetry governance →
LinearJiraGitHubGitLabSlackPagerDuty
04 · TERO MCP

Give every agent the context Tero uses.

Tero MCP gives agents one interface over the Index and your connected telemetry stores. Agents start with a prepared understanding of your data, then drill into the systems of record for raw evidence.

RAW MCPS
agent · datadog-mcp · clickhouse-mcp
datadog.search_logs("service:payments status:error")
x 0 results · no service named "payments"
datadog.list_services()
-> 214 services · payments-api? payment-svc? billing?
datadog.search_logs("service:payments-api \"capture failed\"")
x query syntax error near "capture
datadog.search_logs("service:payments-api capture")
-> 2,411,904 results, truncated to 1,000
clickhouse.query("SELECT * FROM logs LIMIT 50")
x Unknown table 'logs' · 1,382 tables in db
cloudwatch.filter_log_events("timeout")
x ThrottlingException: rate exceeded
19 tool calls in, still mapping the estate...
vs
TERO MCP
agent · mcp://tero
tero.query({domain:"payments", outcome:"failure",
change:"new"})
-> payment_capture_failed
new after v341 · +312% in 60 min · 214K refs
owner: payments · examples attached
tero.get_records("payment_capture_failed", limit: 3)
answered in two calls
TERO INDEX
896 EVENT TYPES
DatadogClickHouseS3CloudWatchElasticR2GCP Logging

One MCP over your telemetry.

Work across every connected store through one unified interface.

Start with prepared context.

Understand services, events, ownership, behavior, and change without rediscovering the estate.

Drill into raw evidence.

Follow context back to the records and systems of truth that support it.

WHAT TERO FINDS

What falls out when telemetry is understood.

40-60% waste

Explore cost reduction

Sensitive data

Explore compliance

Reliability risk

Explore reliability

Ownership gaps

Explore governance
Prove it on your data

Connect a store. See what Tero finds.

Book a demoRead the docs
Read-only connectionNothing to deployNo pipeline changesFirst findings in minutes
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