Latitude
by Latitude · Open-source tracing and issue detection for production AI agents
BenchRank score
Screenshots of Latitude
Homepage
Overview
Latitude is an open-source (MIT) observability platform for AI agents. It ingests traces through its SDK or an existing OpenTelemetry pipeline, groups recurring failures into issues and signals, and sends alerts to Slack, email or webhooks. When a signal appears it can dispatch Claude Code or Cursor with the trace context to implement a fix and open a pull request.
- Best for
- Engineering teams running LLM agents in production who need to find and fix failures in traces.
- Pricing
- Free Starter tier with 20K credits/month, Pro at $99/month for 100K credits with overage at $20 per 10K, and custom-priced Enterprise.
- Runs on
- WebSelf-hosted
Strengths and trade-offs
Strengths
- OTEL compatible; point an existing pipeline at it, no lock-in
- MIT-licensed, and the free plan has no expiry
- Dispatches Claude Code or Cursor to open a fix PR
- SOC 2 Type II, SAML SSO and EU data residency
Trade-offs
- Data retention is 30 days on free and 90 on Pro; longer needs Enterprise
- Credit-metered, so cost rises with traffic: $20 per extra 10K credits on Pro
- SAML SSO, RBAC and support SLAs are Enterprise-only at undisclosed prices
- Hosted data is stored and processed on European servers only
How Latitude markets itself
A structured read of the promise, proof and page design on Latitude’s captured homepage.
Homepage capture
“Make your AI agents self-healing”
- Angle: Outcome / benefit-led
- Hero: Product screenshot
Pricing
Published plans and prices from Latitude’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The Latitude pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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