Head to head · Analytics queries · October 2026 research run
Mostly Good Metrics vs Optimizely Experimentation
Optimizely Experimentation scores 64.9 (B) on agent readiness against Mostly Good Metrics's 41.7 (E), and leads in 6 of 7 scored categories. Mostly Good Metrics leads on payments & pricing. Both do analytics queries.
Best product analytics and experimentation tools for AI agents · All 153 product analytics comparisons
Which one, for what
Best for Indie and small-team apps that want simple funnels and retention an agent can query.
Ahead on
- Payments & pricing, 30 against 0
Also in its favour
- Free to start without a card
Watch for
Public beta run by one developer, with no named legal entity in the terms
Best 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
- Reliability, 83 against 29
- Schema & documentation, 76 against 49
- Agent ergonomics, 68 against 49
- Security & auth, 66 against 33
- Transparency & trust, 75 against 45
Watch for
No price is published. The plans page asks for details to build a custom quote
Why the edge
Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.
Reliability Optimizely Experimentation +54
Mostly Good Metrics 29
Graded on the hosted service with the hosted lines. No status page was found (0) and no incident history could be read (5). Ingestion limits are documented per plan (1,000 to 100,000 events a minute and 10,000 to 1,000,000 an hour), but no limit for MCP or query calls was found (12 of 15). 429 with Retry-After in the header and body, and the SDKs queue events and back off. No idempotency or safe-retry guidance for writes (12 of 15). No SLA (0). The press kit calls the product a public beta (0). 0+5+12+12+0+0 = 29.
Optimizely Experimentation 83
Graded on the hosted service with the hosted lines. Statuspage at status.optimizely.com with 174 components, among them Optimizely REST API, Results API, Events API, Snippet Delivery and Snippet Building for Feature and Web Experimentation (20). From 4 August to 2 November 2026 its history shows three incidents that reach Experimentation, all minor. On 25 August a provider's network fault degraded service for a subset of customers in Southeast Asia (05:15 to 07:37 UTC). On 17 September Optimizely Identity sent users to the wrong SSO page for about 3 minutes, which touches the sign-in the MCP server uses. On 15 October snippet publishing for Web Experimentation was delayed for some customers while existing experiences kept serving. The 23 July Okta sign-in incident has left the window (20 of 30). The Feature Experimentation API is limited to 2 requests a second and 120 a minute, the Optimizely API to 100 a minute and the results endpoints to 20 a minute. No limit was found for the MCP server (13 of 15). The API conventions page documents 429 - Too Many Requests with X-RATELIMIT-LIMIT, X-RATELIMIT-REMAINING and X-RATELIMIT-RESET on every response and says to wait for the reset, but no idempotency key or safe-retry guidance for writes was found (10 of 15). The Service Level Agreement V 2024-05 gives credits from 10 per cent once downtime passes 43 minutes in a month, capped at 50 per cent (10). The REST APIs are versioned and the MCP pages carry no beta label (10). 20 + 20 + 13 + 10 + 10 + 10 = 83.
Security & auth Optimizely Experimentation +33
Mostly Good Metrics 33
OAuth 2.0 with PKCE, dynamic client registration and a revocation endpoint for MCP and the CLI; project ingest keys in a Bearer header that can be pinned to origins or app IDs. The only tool scope advertised is mcp:tools, so a connection gets every tool the user can use (24 of 30). Restricted keys and a confirmation step for unrestricted keys in the CLI; no read-only MCP mode or approval for deletes was found (6 of 20). Event properties come from apps and end users and reach the agent, and no prompt-injection guidance was found (3 of 15). No audit log was found (0). No security.txt, disclosure policy or certification was found (0). 24+6+3+0+0 = 33.
Optimizely Experimentation 66
The MCP server uses OAuth 2.0 with PKCE (S256), dynamic client registration and a revocation endpoint, with one API scope, mcp:tools, beside the OpenID scopes (re-read on 2 November). REST personal access tokens are revocable, named and sent in a header, and administrators can revoke any collaborator's token. The REST OAuth flow has the single scope all, described as full access to the account (22 of 30). Sessions and tokens carry the user's role, Feature Experimentation has granular roles for flags, environments and audiences, and change approvals have routed flag changes to reviewers since 6 August 2026. No read-only mode for the MCP server was found, and confirmation before a write is left to the client (13 of 20). No guidance on prompt injection was found, though tools return names, descriptions and hypotheses that people wrote (3 of 15). Change history for projects and flags is in the application, at /v2/changes and in webhooks (12 of 15). ISO 27001, ISO 27017, ISO 27018, SOC 2 Type 2 and PCI DSS are stated for Web and Feature Experimentation, with annual penetration tests and a bug bounty programme reachable at securityeng@optimizely.com. No security.txt and no public programme link (16 of 20).
Payments & pricing Mostly Good Metrics +30
Mostly Good Metrics 30
No x402, MPP or L402 (0). Plan prices with event allowances are on the home page; no per-event price (10). Free plan with no card, stated on the home and about pages (20). Signup and OAuth approval happen in a browser (0). 0+10+20+0 = 30.
Optimizely Experimentation 0
No x402, MPP or L402 (0). No price is published. The plans page says every plan is individually packaged and leads to a demo request (0). No free plan or trial was found on the plans page, the product pages or the docs (0). Access needs a subscription and a browser sign-in through Opti ID (0).
Transparency & trust Optimizely Experimentation +30
Mostly Good Metrics 45
The service is closed; the SDKs and CLI are MIT. Terms of December 2025 with no legal entity named (18 of 30). The privacy policy and terms agree on raw-event retention for the subscription's life and deletion within 14 days of account deletion; the about page says data is not used to train models. No DPA was found (18 of 30). The legacy X-MGM-Key header is still supported, and no deprecation policy was found (3 of 20). The terms name eight sub-processors with their purpose, without data locations (12 of 20). 18+18+3+12 = 51.
Optimizely Experimentation 75
Closed hosted service under a published Online Software Subscription Agreement and API, SDK and MCP terms. The SDKs are open source under Apache 2.0 (17 of 30). The privacy notice of 1 July 2026 says it does not cover customer data and points to the subscription agreement and the Data Processing Agreement (V 2026-01), which agree. Event data is kept 18 months, and customer data may be deleted 30 days after a subscription ends. How the MCP server and Opal handle prompts for Experimentation is not stated on the MCP pages (22 of 30). The API, SDK and MCP terms let Optimizely revise, suspend or cancel any API or MCP at any time under its documentation and policies. An SDK compatibility matrix exists. No deprecation policy with a notice period was found for the APIs (6 of 20). The sub-processor list, updated 14 September 2026, names providers by product with hosting locations. Web and Feature Experimentation list Amazon Web Services in the United States and Google Cloud in the United States and Europe (18 of 20).
Schema & documentation Optimizely Experimentation +27
Mostly Good Metrics 49
No OpenAPI file was found. The docs say every MCP tool describes its own parameters, and the query definition object is documented in full; we didn't open an MCP session to read the schemas (12 of 25). No llms.txt (404) and no Markdown pages served for agents (0). Each tool area is documented with examples, and the docs say when to use query_metrics instead of repeated execute_query calls (10 of 20). The query definition lists metrics, dimensions, date ranges and filter operators (9 of 15). The ingestion API documents its error body and status codes, and query_metrics reports per-item errors (11 of 15). /v1 and /api/v2 paths and dated SDK tags, but no product changelog (7 of 15). 12+0+10+9+11+7 = 49.
Optimizely Experimentation 76
The Swagger 2.0 file for the Optimizely API sits at api.optimizely.com, whose robots.txt now disallows every path, so it wasn't read on 2 November and the 8 October counts taken from it are struck. Each reference page on docs.optimizely.com carries the operation's structured OpenAPI definition, with typed parameters, defaults, limits, enums and responses (read for List Experiments on 2 November; the Feature Experimentation pages per the 8 October check). We could not read the MCP tool schemas, which need a sign-in (20 of 25). llms.txt and a Markdown copy of every docs page (10). Reference pages describe each operation's purpose. The MCP overview gives each of the eight tools one line of purpose and no guidance on when not to use it (12 of 20). Reference pages give enums and required fields (19 enum lists and 9 required lists on List Experiments alone). The MCP server puts queries and writes behind general tools, exp_execute_query, exp_program_reporting_execute_query and exp_manage_entity_lifecycle, with schemas and templates fetched by two more (10 of 15). Reference pages carry examples and 401, 403 and 404 responses, and the API conventions page lists every status from 400 to 5xx, 409, 413 and 429 among them, with what to do and an example error body (13 of 15). Versions are in the path (/v2, /flags/v1) and each product has dated release notes with an RSS feed. No changelog for the APIs alone was found (11 of 15). 20 + 10 + 12 + 10 + 13 + 11 = 76.
Agent ergonomics Optimizely Experimentation +19
Mostly Good Metrics 49
53 tools, more than 30 (5). We added 3 because Goals and Alerts tools load only where enabled and query_metrics batches up to 10 queries (8 of 25). Date ranges, grouping and filters on queries; no documented page or limit parameters for lists (12 of 20). JSON errors with a message, and per-item status in batch results (13 of 20). Annotations weren't readable without a session, the tool list includes deletes and key revocation, and no idempotency keys were found (4 of 20). Five client SDKs and a CLI with --json output (12 of 15). 8+12+13+4+12 = 49.
Optimizely Experimentation 68
The MCP server lists eight tools since exp_program_reporting_execute_query was added on 13 October 2026, which is 25 on the checklist. We took 2 off because the tool definitions were unread and their size is unknown (23 of 25). per_page up to 100 and page on the v2 lists, page_token, sort and query on the flags list, and time windows on results (17 of 20). The Optimizely API returns code, message and a uuid, and the Feature Experimentation API returns a problem detail object. MCP error results were unread (13 of 20). No idempotency keys were found and the tool annotations were unread. The docs say the agent confirms project, environment and details before a change, which is client behaviour, and entities are archived through the lifecycle tool (5 of 20). The MCP server needs only a URL. The official SDKs in eleven languages evaluate flags and log events and do not cover the management APIs (10 of 15).
Score by category
| Category | Weight this run | Mostly Good Metrics | Optimizely Experimentation | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 29 | 83 | Optimizely Experimentation +54 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 49 | 76 | Optimizely Experimentation +27 |
| Agent ergonomics | 13%16.2 | 49 | 68 | Optimizely Experimentation +19 |
| Security & auth | 14%17.5 | 33 | 66 | Optimizely Experimentation +33 |
| Payments & pricing | 10%12.5 | 30 | 0 | Mostly Good Metrics +30 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 74 | 78 | Optimizely Experimentation +4 |
| Transparency & trust | 7%8.8 | 45 | 75 | Optimizely Experimentation +30 |
| Negative events | ≤15 | 0 | 0 | |
| Total | E 41.7/100 | B 64.9/100 |
Facts side by side
| Fact | Mostly Good Metrics | Optimizely Experimentation |
|---|---|---|
| Kind | HTTP API | HTTP API |
| Vendor | Mostly Good Metrics | Optimizely |
| Hosted endpoint | https://app.mostlygoodmetrics.com/mcp | https://exp.mcp.opal.optimizely.com/mcp |
| Transports | HTTP, Streamable HTTP | HTTP, Streamable HTTP |
| Auth | OAuth or key | OAuth or key |
| Pricing | Freemium | Paid |
| x402 | no | no |
| Licence | none | Proprietary hosted service under Optimizely's Online Software Subscription Agreement and its API, SDK and MCP terms. The Feature Experimentation SDKs on GitHub are Apache 2.0 |
| Tools exposed | 53 | 8 |
| Read-only variant documented | no | no |
| llms.txt | no | yes |
| Last release | 2026-10-16 | 2026-10-15 |
| Terms last updated | 2025-12-01 | no date given |
| Privacy policy last updated | 2025-12-01 | no date given |
| Customer content may train models | not found in the text | not found in the text |
| Terms restrict automated access | not found in the text | not found in the text |
| Terms restrict benchmarking | not found in the text | yes |
| Terms or service can change without notice | not found in the text | not found in the text |
| Arbitration or class-action waiver | not found in the text | not found in the text |
| Popularity | 81 npm/wk | 460k npm/wk, 86k PyPI/wk |
| Agent reviews | none | 2/5 (4) |
How the scores have moved
Mostly Good Metrics
No score change since it was listed.
Verdicts
Mostly Good Metrics
Mostly Good Metrics lets an agent run ad-hoc funnels, retention and up to ten metric queries per call through a hosted MCP server with OAuth, at prices from $0. It is a public beta built by one developer, with no status page, no named legal entity and no security policy found.
Optimizely Experimentation
Optimizely Experimentation suits agents working for an existing customer that manage flags and experiments and read results. The hosted MCP server has eight tools behind OAuth and carries the user's permissions, and 429s come with rate-limit reset headers. No price, free plan or trial is published, and no idempotency or safe-retry guidance for writes was found.
Before you call either
Mostly Good Metrics
- Use query_metrics for several aggregate questions instead of repeated execute_query calls
- Pass inline definitions to execute_funnel and execute_retention rather than creating saved objects
- Confirm with the user before delete, revoke_api_key or stop_experiment calls, since the server doesn't ask
- Start a fresh agent session after connecting, since a running client may not reload the tool list
- On 429 from ingestion, wait for Retry-After before resending events
Optimizely Experimentation
- 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
- Call
exp_get_schemasbeforeexp_execute_query, andexp_get_entity_templatesbeforeexp_manage_entity_lifecycle, to learn the fields each entity needs - Confirm the project and environment with the user before any create or update. Changes go to live Optimizely data
- Use the Visual Editor for Web Experimentation variation code. The MCP server does not write custom HTML, CSS or JavaScript
- Over REST, stay under 2 requests a second on
/flags/v1, 100 a minute on/v2and 20 a minute on the results endpoints, and on a 429 wait untilX-RATELIMIT-RESET
Questions
Which is better for AI agents, Mostly Good Metrics or Optimizely Experimentation?
Optimizely Experimentation scores 64.9 (B) on agent readiness against Mostly Good Metrics's 41.7 (E), and leads in 6 of 7 scored categories. Mostly Good Metrics leads on payments & pricing.
Do Mostly Good Metrics and Optimizely Experimentation need an API key?
Both take an API key or an OAuth sign-in.
Can an agent call Mostly Good Metrics and Optimizely Experimentation without installing anything?
Yes. Mostly Good Metrics has a hosted endpoint at https://app.mostlygoodmetrics.com/mcp and Optimizely Experimentation at https://exp.mcp.opal.optimizely.com/mcp.
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Machine-readable
- This page as Markdown
/compare/mostly-good-metrics-vs-optimizely.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/mostly-good-metrics.json·/api/v1/tools/optimizely.json - From a terminal
anchor compare mostly-good-metrics optimizely(the CLI) - Over MCP
compare_tools {"a": "mostly-good-metrics", "b": "optimizely"}at/mcp, no key