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Head to head · Analytics experiments · October 2026 research run

Optimizely Experimentation vs Statsig

Statsig scores 72.3 (BB) on agent readiness against Optimizely Experimentation's 62.6 (B), and leads in 6 of 7 scored categories. Both do analytics experiments.

Optimizely ExperimentationOptimizely · HTTP API B62.6/100#330 of 722 StatsigAmplitude, Inc. · HTTP API BB72.3/100#94 of 722

Which one, for what

Optimizely Experimentation B

Good for An agent working for an existing Optimizely customer that lists and creates flags, experiments and audiences, reads experiment results and writes SDK integration code.

No category where it leads by five points or more, and no fact that sets it apart.

Watch for

No price is published. The plans page says every plan is individually packaged and leads to a demo request

Statsig BB

Good for An agent that creates, updates and cleans up feature gates, dynamic configs and experiments, and reads experiment results and audit history.

Ahead on

  • Reliability, 79 against 73
  • Schema & documentation, 82 against 74
  • Security & auth, 74 against 66
  • Payments & pricing, 40 against 0

Also in its favour

  • Agent-ready, a grade of BB or better
  • Free to start without a card

Watch for

Console API errors carry only status and message, and the spec documents no 429 response

Score by category

CategoryWeight this runOptimizely ExperimentationStatsigEdge
Reliability16%207379Statsig +6
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27482Statsig +8
Agent ergonomics13%16.26871Statsig +3
Security & auth14%17.56674Statsig +8
Payments & pricing10%12.5040Statsig +40
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87881Statsig +3
Transparency & trust7%8.87575even
Negative events≤1500
Total62.6 · B72.3 · BB

Facts side by side

FactOptimizely ExperimentationStatsig
KindHTTP APIHTTP API
VendorOptimizelyAmplitude, Inc.
Hosted endpointhttps://exp.mcp.opal.optimizely.com/mcphttps://api.statsig.com/v3/mcp
TransportsHTTP, Streamable HTTPHTTP, Streamable HTTP
AuthOAuth or keyOAuth or key
PricingPaidFreemium
x402nono
LicenceProprietary hosted service under Optimizely's Online Software Subscription Agreement and its API, SDK and MCP terms. The Feature Experimentation SDKs on GitHub are Apache 2.0Proprietary hosted service under Statsig's self-service or enterprise terms. The SDKs and the agent skills repository on GitHub are ISC
Tools exposed718
Read-only variant documentednono
llms.txtyesyes
MCP registrynot listedcom.statsig/statsig-mcp-server
Last release2026-09-182026-09-28
Terms last updatedno date given2025-08-04
Privacy policy last updatedno date given2026-08-31
Customer content may train modelsnot found in the textnot found in the text
Terms restrict automated accessnot found in the textnot found in the text
Terms restrict benchmarkingyesyes
Terms or service can change without noticenot found in the textyes
Arbitration or class-action waivernot found in the textyes
Popularity460k npm/wk, 86k PyPI/wk4.2M npm/wk, 894k PyPI/wk

Verdicts

Optimizely Experimentation

Optimizely Experimentation suits agents working for an existing customer that manage flags and experiments and read results. The hosted MCP server has seven tools behind OAuth and carries the user's permissions, and the main REST API has a public Swagger spec. No price, free plan or trial is published, and no 429 or idempotency guidance was found.

Statsig

Statsig suits agents that manage feature gates and experiments and read their results. Its MCP server has 18 default tools, OAuth, read-only access by project and role, and a confirmation on updates. Errors carry only a status and a message, no idempotency keys were found, and the privacy notice is Amplitude's and doesn't name Statsig.

Before you call either

Optimizely Experimentation

  1. Connect to https://exp.mcp.opal.optimizely.com/mcp and complete OAuth in a browser. The session is time-limited, so expect to sign in again
  2. Call exp_get_schemas before exp_execute_query, and exp_get_entity_templates before exp_manage_entity_lifecycle, to learn the fields each entity needs
  3. Confirm the project and environment with the user before any create or update. Changes go to live Optimizely data
  4. Use the Visual Editor for Web Experimentation variation code. The MCP server does not write custom HTML, CSS or JavaScript
  5. Over REST, stay under 2 requests a second on /flags/v1, 100 a minute on /v2 and 20 a minute on the results endpoints

Statsig

  1. Connect to https://api.statsig.com/v3/mcp. The official MCP registry entry still lists the V1 URL, which has 93 tools
  2. Call get_context first to learn the project, your permissions and the review settings
  3. Read the resource before gate_update, experiment_update or dynamic_config_update. They replace the whole resource, so resend every field you want kept
  4. Use discover_tools for partial edits, and fetch a fresh operationHandle when one expires
  5. On a 429 slow down and back off with jitter. Rejected attempts count towards the quota of about 1,800 mutations per 15 minutes

Questions

Which is better for AI agents, Optimizely Experimentation or Statsig?

Statsig scores 72.3 (BB) on agent readiness against Optimizely Experimentation's 62.6 (B), and leads in 6 of 7 scored categories.

Do Optimizely Experimentation and Statsig need an API key?

Both take an API key or an OAuth sign-in.

Can an agent call Optimizely Experimentation and Statsig without installing anything?

Yes. Optimizely Experimentation has a hosted endpoint at https://exp.mcp.opal.optimizely.com/mcp and Statsig at https://api.statsig.com/v3/mcp.

Other comparisons with Optimizely Experimentation or Statsig

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