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Your telemetry
has a new user.

Agents. Tero sits above the telemetry stores you already use, builds maintained context over the data, surfaces cost, compliance, and reliability issues with evidence, and routes them to safe action.

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Connect read-onlyFind 40-60% wasteFind sensitive data

The agent-native
telemetry layer.

One read-only layer over the stores you already use. No migration, no pipelines. Connect and Tero builds the index and surfaces issues in minutes.

01

Tero Index

Turns raw telemetry into maintained context.

02

Tero Issues

Finds problems before they become fire drills.

03

Tero Actions

Safe paths to production change.

04

Tero Query

Opens the same context to agents.

TERO · ONE PREPARED LAYER
Datadog
ClickHouse
S3
CloudWatch
Elastic
R2
GCP Logging
01 · TERO INDEX

Tero Index turns raw telemetry into maintained context.

Raw records become event types, changes, ownership, facts, and evidence, maintained continuously across the stores you already use.

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

Events, not records

Repetitive telemetry grouped into meaningful event types.

Filter by meaning

Change, domain, outcome, impact, signal.

Watch change over time

New, spiking, missing, or changed events.

Drill into evidence

Facts, examples, trends, owners, raw records.

02 · TERO ISSUES

Tero Issues finds problems before they become fire drills.

Cost waste. Sensitive data. Compliance exposure. Reliability risk. Raised with evidence, owner, impact, and next step.Explore the live demo

Cut waste before renewal

High-volume, low-value events, debug noise, oversized payloads. Data you ingest only to drop later.

Catch sensitive data at the source

PII, PHI, payment data, secrets, and tokens, surfaced with examples, owners, and destinations.

See reliability risk while it is still quiet

Recurring failures, terminal errors, dependency issues, and slow degradation already visible in the logs.

03 · TERO ACTIONS

Tero Actions gives agents safe paths to production change.

Issues should not end as reports. Tero routes each issue to the owner, workflow, policy, or agent that can act. Routine telemetry cleanup can move automatically; complex work keeps the evidence attached.

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

Push policies to the pipelines you already run.

Atomic, reviewable, reversible, and donated to OpenTelemetry.

OTel CollectorVectorDatadog AgentFluent BitTero Edge
CODE CHANGES

Hand the issue to your coding agents.

Evidence, owner, and raw records travel with it over MCP.

Claude CodeCodexYour own agents
EVERYTHING ELSE

Route the rest into your workflows.

Tickets, alerts, and reviews in the tools your teams already run.

LinearJiraGitHubGitLabSlackPagerDuty
04 · TERO QUERY

Tero Query opens the same context to agents.

Agents can inspect issues, ask what changed, and pull raw records through one MCP over connected stores. Raw records stay the source of truth; Tero gets agents to the right records after the index narrows the work.

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 QUERY
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 interface over every store.

Datadog, ClickHouse, S3, CloudWatch, Elastic, R2, GCP Logging, and whatever comes next.

Start from context, not syntax.

Agents ask about services, domains, outcomes, changes, issues, and evidence instead of guessing schemas and query language.

Pull raw records with purpose.

Raw telemetry stays the source of truth. Tero gets agents to the right event, time range, examples, and source links first.

OUTCOMES

What falls out when telemetry is built for agents.

Waste. Sensitive data. Reliability risk. Ownership gaps. Problems that used to hide in raw volume become evidence-backed work.

40%waste

SIGNAL · 60%WASTE · 40%

Cut telemetry waste.

POST /v1/payments 502 1240ms
payment_validation_failed
body: {"card": "4242 4242 4242 4242",
       "cvv": "842", "zip": "94103"}
GET /v1/account 200 18ms
email="[email protected]"
Authorization: Bearer eyJhbGciOiJIUzI1...
UNMASKED · IN YOUR LOGS

Find sensitive data before it becomes a problem.

connection_refused1% -> 9% · 6 WEEKS

Catch reliability risk before customers feel it.

Route issues to the teams and agents that own them.

Evidence-backed work objects for the service, workflow, or agent that can act.

Connect a store.
See what Tero finds.

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Read-only connectionNothing to deployNo pipeline changesThe index builds itself
LATEST UPDATES
We Can Understand It All NowIntroducing PoliciesThe Technical Details of Policies for the Nerds Who Care