Head to head · Analytics query · October 2026 research run

Optimizely Experimentation vs Woopra

Optimizely Experimentation scores 62.6 (B) on agent readiness against Woopra's 44.4 (E), and leads in 5 of 7 scored categories. Woopra leads on reliability and payments & pricing. Both do analytics query.

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.

Ahead on

  • Schema & documentation, 74 against 45
  • Agent ergonomics, 68 against 45
  • Security & auth, 66 against 22
  • Maintenance & community, 78 against 9
  • Transparency & trust, 75 against 61

Watch for

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

Woopra E

Good for An agent that reads a company's existing Woopra reports, looks up or edits customer profiles, or exports raw sessions on a schedule.

Ahead on

  • Reliability, 80 against 73
  • Payments & pricing, 30 against 0

Watch for

Report endpoints run a report saved in the web app by report_id. No endpoint to define a query, funnel or segment was found in the reference

Score by category

CategoryWeight this runOptimizely ExperimentationWoopraEdge
Reliability16%207380Woopra +7
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27445Optimizely Experimentation +29
Agent ergonomics13%16.26845Optimizely Experimentation +23
Security & auth14%17.56622Optimizely Experimentation +44
Payments & pricing10%12.5030Woopra +30
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.8789Optimizely Experimentation +69
Transparency & trust7%8.87561Optimizely Experimentation +14
Negative events≤1500
Total62.6 · B44.4 · E

Facts side by side

FactOptimizely ExperimentationWoopra
KindHTTP APIHTTP API
VendorOptimizelyWoopra, Inc.
Hosted endpointhttps://exp.mcp.opal.optimizely.com/mcphttps://www.woopra.com/rest/3.10
TransportsHTTP, Streamable HTTPHTTP
AuthOAuth or keyOAuth or key
PricingPaidPaid
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 service under Woopra's terms of service. The browser tracker and the SDKs on GitHub are MIT, and the Node package is ISC
Tools exposed7none
Read-only variant documentednono
llms.txtyesyes
Last release2026-09-182026-03-16
Terms last updatedno date given2025-12-10
Privacy policy last updatedno date given2025-08-01
Customer content may train modelsnot found in the textnot found in the text
Terms restrict automated accessnot found in the textyes
Terms restrict benchmarkingyesnot found in the text
Terms or service can change without noticenot found in the textnot found in the text
Arbitration or class-action waivernot found in the textyes
Popularity460k npm/wk, 86k PyPI/wk415 npm/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.

Woopra

Woopra's REST API returns saved Trends, Journeys, Retention and Attribution reports, profiles and raw session logs, with published limits of 300 calls a minute and 3,000 a day per project. A report must first be built in the web app, the tracking endpoints accept events without a secret by default, and no changelog or SLA was found.

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

Woopra

  1. Ask the owner to build and save each report in the web app first, then pass the last path segment of its URL as report_id
  2. Authenticate REST calls with HTTP Basic, using the App ID and Secret Key from the Access Keys tab, against https://www.woopra.com/rest/3.10/
  3. Stay under 300 calls a minute, 600 an hour and 3,000 a day per project. A 429 carries no documented retry interval, so back off on your own schedule
  4. Reuse the snapshot ID from the first response when paging with offset, or pages past 1,000 records may not agree
  5. Send cookie or a cv_ identifier such as cv_email on every track call. Without one the event lands on a random profile that can't be identified later
  6. When reading /logs/export, delete the profile named in each type: "delete" line. The following lines log its data again under new_id

Questions

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

Optimizely Experimentation scores 62.6 (B) on agent readiness against Woopra's 44.4 (E), and leads in 5 of 7 scored categories. Woopra leads on reliability and payments & pricing.

Do Optimizely Experimentation and Woopra need an API key?

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

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

Yes. Optimizely Experimentation has a hosted endpoint at https://exp.mcp.opal.optimizely.com/mcp and Woopra at https://www.woopra.com/rest/3.10.

Other comparisons with Optimizely Experimentation or Woopra

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