Amplitude Experiment API

Provides programmatic control over Amplitude Experiment's feature flags and A/B tests — evaluating flag variants for users, managing experiment configurations, and retrieving experiment results integrated with Amplitude Analytics.

Evaluated Mar 07, 2026 (0d ago) vcurrent
Homepage ↗ Repo ↗ Other feature-flags a-b-testing experimentation amplitude feature-management rollouts
⚙ Agent Friendliness
58
/ 100
Can an agent use this?
🔒 Security
81
/ 100
Is it safe for agents?
⚡ Reliability
81
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
--
Documentation
82
Error Messages
78
Auth Simplicity
72
Rate Limits
78

🔒 Security

TLS Enforcement
100
Auth Strength
80
Scope Granularity
65
Dep. Hygiene
82
Secret Handling
80

Two separate key types (deployment vs management) provide some separation of privilege. Neither key type has fine-grained permission scopes. TLS enforced. Deployment keys should be treated as sensitive as they control feature exposure.

⚡ Reliability

Uptime/SLA
85
Version Stability
82
Breaking Changes
80
Error Recovery
78
AF Security Reliability

Best When

Best when an agent is already working within the Amplitude ecosystem and needs to manage feature flags or retrieve experiment results that are natively integrated with Amplitude Analytics behavioral data.

Avoid When

Avoid when you need sophisticated multi-variate experimentation with advanced statistical methods, or when your analytics stack does not include Amplitude and you want flag management independent of a specific analytics vendor.

Use Cases

  • Evaluate feature flag variants for a specific user at request time to gate feature access in a backend service without round-tripping to the Amplitude SDK
  • Fetch experiment assignment results for a cohort of users to analyze conversion lift and statistical significance in a data pipeline
  • Create or update feature flag configurations programmatically as part of a CI/CD deployment workflow with gradual rollout logic
  • List all active experiments and their current allocation percentages to generate a flag hygiene audit and identify stale experiments
  • Retrieve raw experiment exposure events to feed into a custom analysis pipeline alongside other behavioral data in the warehouse

Not For

  • General product analytics (events, funnels, retention) — use the Amplitude Analytics API for behavioral queries; Amplitude Experiment is specifically for flag evaluation and A/B testing
  • Multi-armed bandit or adaptive experimentation at scale — Amplitude Experiment supports basic A/B and feature flags but is not a specialized Bayesian optimization platform
  • Cross-platform experiments independent of Amplitude Analytics — Amplitude Experiment is tightly coupled to the Amplitude ecosystem; LaunchDarkly or Statsig are better choices if you need standalone flag management

Interface

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

Authentication

Methods: api_key
OAuth: No Scopes: No

Two separate key types: Deployment keys (for client/server-side flag evaluation) and Management API keys (for creating and managing experiments). Management API keys are generated per project in the Amplitude settings.

Pricing

Model: freemium
Free tier: Yes
Requires CC: No

Amplitude Experiment pricing is bundled with Amplitude Analytics plans — you cannot purchase Experiment standalone without an Amplitude account.

Agent Metadata

Pagination
offset
Idempotent
Partial
Retry Guidance
Documented

Known Gotchas

  • Remote evaluation silently returns the fallback/default variant when a flag key does not exist or the user does not match any targeting rules — agents cannot distinguish 'flag not found' from 'user in control group' without checking the variant reason field
  • Management API keys and Deployment keys are completely separate credentials with different base URLs — agents that confuse the two get authentication errors that can be hard to diagnose
  • Experiment results and analytics data have a processing lag of up to 24 hours; agents querying recent experiment exposures may see incomplete data
  • Mutual exclusion groups and holdout groups can cause users to be excluded from experiments silently — agents auditing assignment rates need to account for this and check exclusion group configurations
  • Flag evaluation caches variants client-side in the SDK; server-side remote evaluation avoids this but adds per-request latency — agents choosing between local and remote evaluation need to understand this trade-off explicitly

Alternatives

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Scores are editorial opinions as of 2026-03-07.

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