LaunchDarkly

Manages feature flag lifecycle and targeting rules via REST API, while SDKs evaluate flags locally using streamed rule sets so agents can toggle features without per-evaluation API calls.

Evaluated Mar 06, 2026 (0d ago) vcurrent
Homepage ↗ Developer Tools feature-flags targeting rollouts experimentation sdk-evaluation
⚙ Agent Friendliness
65
/ 100
Can an agent use this?
🔒 Security
89
/ 100
Is it safe for agents?
⚡ Reliability
90
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
--
Documentation
90
Error Messages
86
Auth Simplicity
85
Rate Limits
82

🔒 Security

TLS Enforcement
100
Auth Strength
87
Scope Granularity
85
Dep. Hygiene
88
Secret Handling
85

FedRAMP Moderate authorized. HIPAA BAA available. EU data residency. Fine-grained RBAC with custom roles on Enterprise. SDK keys are read-only — cannot modify flags.

⚡ Reliability

Uptime/SLA
95
Version Stability
88
Breaking Changes
85
Error Recovery
90
AF Security Reliability

Best When

An agent needs programmatic control over feature rollouts in production with millisecond SDK evaluation latency and enterprise-grade targeting rules.

Avoid When

The team needs a self-hosted open-source solution or the budget does not support per-seat SaaS pricing at scale.

Use Cases

  • Toggle a feature flag on or off for a specific environment via API during an automated incident rollback workflow
  • Create a new feature flag with targeting rules when provisioning a canary deployment in CI/CD
  • Update percentage rollout on an existing flag to gradually increase traffic to a new code path based on error rate thresholds
  • List all flags enabled for a given environment to generate a feature inventory report for compliance auditing
  • Archive stale flags older than 90 days with zero evaluation counts to reduce flag debt automatically

Not For

  • Error monitoring or crash reporting (use Sentry or Bugsnag instead)
  • A/B test statistical analysis with warehouse-native computation (use GrowthBook or Statsig)
  • Real-time application performance tracing and APM (use Datadog or New Relic)

Interface

REST API
Yes
GraphQL
No
gRPC
No
MCP Server
No
SDK
Yes
Webhooks
Yes

Authentication

Methods: api_key
OAuth: Yes Scopes: Yes

Access tokens with role-based permissions (Reader, Writer, Admin). Personal and service tokens supported. OAuth2 available for third-party integrations via LaunchDarkly App Directory.

Pricing

Model: freemium
Free tier: Yes
Requires CC: No

Pricing based on MAU and seats. SDK evaluation does not consume API quota — only management API calls count against rate limits.

Agent Metadata

Pagination
offset
Idempotent
Partial
Retry Guidance
Documented

Known Gotchas

  • LaunchDarkly uses semantic patch (application/json; domain-model=launchdarkly.semanticpatch) not standard JSON Patch (RFC 6902) — sending standard patch format returns 415 with a confusing error
  • SDK evaluation happens client-side from a streamed ruleset; the REST API is only for management, not per-flag evaluation — agents that call the API per flag check add unnecessary latency and cost
  • Environments are separate API resources with their own keys; a flag may have different values per environment and requests scoped to the wrong environment silently return wrong values
  • Rate limit is 10 req/s which is easy to saturate when iterating over large flag lists — the API does not return Retry-After headers, only 429 status
  • Flag keys are immutable after creation; if an agent creates a flag with the wrong key it must be archived and recreated, it cannot be renamed

Alternatives

Full Evaluation Report

Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for LaunchDarkly.

$99

Scores are editorial opinions as of 2026-03-06.

5208
Packages Evaluated
26151
Need Evaluation
173
Need Re-evaluation
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