Latitude
Latitude is an open-source, MIT-licensed platform for monitoring and improving production AI agents.
What Latitude is
Latitude is an open-source, MIT-licensed platform for monitoring and improving production AI agents. It captures agent interactions as spans and groups related traces into sessions for reviewing multi-turn conversations. Its Observe tools expose model providers, models, tokens, latency, cost, errors, tool calls, user activity, and agent memory. Semantic search, behavior clustering, and signals help teams identify recurring failure patterns. Monitors can track signals, saved searches, or raw traffic and notify users in-app, by email, or through Slack. Teams can turn failing traces into datasets for local simulation and regression testing, while evaluations can monitor live traffic for regressions. Latitude supports managed cloud and self-hosted deployments, including Docker Compose and Kubernetes. Its setup guide names TypeScript and Python SDKs and recommends an OpenTelemetry exporter for other languages. The Starter plan costs nothing and includes 20K credits per month, 30-day data retention, unlimited seats, and general Slack channel support. Pro costs $99 a month and includes 100K credits monthly, 90-day retention, unlimited seats, and priority support. Latitude says hosted customer data and managed inference are stored and processed in AWS eu-central-1 in Frankfurt, Germany.
Good
- Available as managed cloud or self-hosted software
- Monitors can send alerts through Slack
- Supports local simulation and regression testing
- Starter includes unlimited seats
Watch out
- Starter includes 30-day data retention
- Pro costs $99 a month
- Extra Pro credits cost $20 per 10K
Who it suits
Latitude suits teams monitoring production AI agents and tracking recurring failures or regressions. Its plan descriptions position Starter for teams establishing AI infrastructure and Pro for collaborative AI product teams scaling up.
Verdict
Latitude offers tracing, failure monitoring, and regression workflows for production AI agents, with managed cloud and self-hosted options. Starter is free; teams needing more credits and longer data retention can consider Pro at $99 a month.
Plans and prices
From Latitude's own pricing page, checked 15 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Starter | Free | 20K credits/month · 30d data retention · unlimited seats · general-channel Slack support |
| Pro | $99 a month | 100K credits/month · 90d data retention · unlimited seats · priority support · extra credits $20 per 10K · SOC2 & ISO27001 reports · /month |
| Enterprise | Priced on request | custom credit volume · custom retention · custom on-premises or cloud deployment · RBAC · team training · SAML SSO · SOC2 & ISO27001 reports · uptime/support SLA · dedicated support |
The facts
Each one read from Latitude's own pages, with the date it was checked.
What it does
- Agent dispatch
- When a signal appears or escalates, Latitude can send context and sample traces to Claude Code or Cursor and open a pull request.checked 15 Oct 2026
- API and extensibility
- Latitude exposes an API, CLI, MCP server, SDKs, webhooks, and coding-agent skills for programmatic control.checked 15 Oct 2026
- Compliance
- Latitude's security documentation states it is SOC II certified and says ISO 27001 audit work and GDPR readiness review were in progress, with completion expected by the end of May 2026.checked 3 Oct 2026
- Data minimization
- Latitude says its SDKs redact common security-sensitive attributes by default and customers can configure additional redaction patterns.checked 3 Oct 2026
- Datasets and regression
- Failing traces can become datasets for local simulation and regression testing before deployment.checked 15 Oct 2026
- Deployment
- Latitude is available as managed cloud or self-hosted software, with documented single-machine Docker Compose and Kubernetes cluster deployments.checked 3 Oct 2026
- Documentation depth
- The documentation covers tracing, providers, frameworks, agent harnesses, observability, signals, experiments, monitors, datasets, security, deployment, API, MCP, CLI, integrations, and development.checked 15 Oct 2026
- Experiments
- Experiments compare traffic slices to measure differences between releases, models, or user cohorts.checked 15 Oct 2026
- Failure clustering
- Latitude groups similar failing traces into signals with examples, trends, affected users, and lifecycle states.checked 15 Oct 2026
- Failure discovery
- Semantic search, behavior clustering, and signals help teams find and track recurring production failure patterns.checked 3 Oct 2026
- Human annotations
- Users can annotate traces, spans, and outputs, with annotations feeding structured signals and evaluations.checked 15 Oct 2026
- Integrations
- Documented integrations include OpenAI, Anthropic, Amazon Bedrock, Vercel AI SDK, LangChain, Claude Code, Slack, GitHub, Linear, webhooks, and OpenTelemetry.checked 15 Oct 2026
- Legal entity
- The terms identify the provider as LATITUDE DATA, S.L., incorporated in Spain with Tax ID B09930660 and a Barcelona registered address.checked 15 Oct 2026
- License
- Latitude is fully open source under the permissive MIT license.checked 15 Oct 2026
- Limit: ecosystem maturity
- MakerStack describes Latitude’s community as younger and smaller than Langfuse’s, with fewer integrations and tutorials.checked 15 Oct 2026
- Limit: traffic and telemetry
- DiscoverAI cautions that useful signals need representative production traffic, sensitive telemetry requires redaction and retention controls, and automated clustering needs human calibration.checked 15 Oct 2026
- MCP
- Its MCP server lets coding agents inspect and manage Latitude workspaces, projects, traces, annotations, and datasets.checked 15 Oct 2026
- Monitoring
- Monitors can watch signals, saved searches, or raw traffic and notify users in-app, by email, or in Slack.checked 3 Oct 2026
- Monitors and alerts
- Monitors watch signals, searches, or raw traffic and notify in the app, by email, or through Slack.checked 15 Oct 2026
- Notable release
- The changelog records Agent Score launching on September 23, 2026 as a 0–100 score based on five dimensions and evidence thresholds.checked 15 Oct 2026
- Observability
- It records traces and spans for LLM calls, tool calls, retrieval, tokens, cost, latency, and errors, grouping related traces into sessions.checked 15 Oct 2026
- Praise: agent-focused tracing
- Independent reviewers repeatedly praise multi-turn session traces that include tool calls and complete execution paths.checked 15 Oct 2026
The company
- Company profile
- LinkedIn lists Latitude as a privately held software-development company founded in 2022, headquartered in San Francisco, with 2–10 employees and an additional Barcelona location.checked 15 Oct 2026
Money
- Limit: usage costs
- MakerStack says credit-based Pro metering and the $20 charge per additional 10K credits can become expensive for high-traffic agents.checked 15 Oct 2026
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