Head to head · Feature flags · October 2026 research run

Harness Feature Management & Experimentation vs Statsig

Statsig scores 72.4 (BB) on agent readiness against Harness Feature Management & Experimentation's 69.2 (B), and leads in 3 of 7 scored categories. Harness Feature Management & Experimentation leads on agent ergonomics and security & auth. Both do feature flags.

Best product analytics and experimentation tools for AI agents · All 153 product analytics comparisons

Which one, for what

Harness Feature Management & Experimentation B

Best for Teams already on Harness, or Split customers, who want agents to inspect and change flags and segments with guard rails.

Ahead on

  • Agent ergonomics, 83 against 71
  • Security & auth, 79 against 74

Also in its favour

  • Runs on your own machine

Watch for

No FME prices are published; Enterprise is by quotation and free plan limits are unstated

Statsig BB

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

Ahead on

  • Schema & documentation, 82 against 71
  • Payments & pricing, 40 against 15
  • Transparency & trust, 76 against 61

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

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.

Payments & pricing Statsig +25

Harness Feature Management & Experimentation 15

No x402, MPP or L402 (0). No FME prices are published; harness.io/pricing lists FME only under Enterprise, priced by quotation (0). The docs describe a Start FME Free Plan step inside a Harness account; its limits and whether a card is needed aren't stated (15 of 20). A person signs up for Harness in a browser and creates a key or token (0). 0+0+15+0 = 15.

Statsig 40

No x402, MPP or L402 (0). Prices are public without a login. Pro is $150 a month with 5 million events, then $0.05 per 1,000 events (20). The Developer plan is free with no card and 2 million events a month (20). A person signs up in a browser, then creates a key or approves OAuth (0).

Transparency & trust Statsig +15

Harness Feature Management & Experimentation 61

A closed service under Harness's subscription terms; the MCP server is MIT (18 of 30). The privacy statement covers website and sales data and defers customer data to the customer agreement and a published DPA; retention periods for customer data weren't found (18 of 30). A versioning policy for SDKs with support windows, and Split-era API endpoints marked deprecated with migration guides (14 of 20). Sub-processors are on the trust centre, which we didn't read, and the security page doesn't name data locations (10 of 20). 18+18+14+10 = 60.

Statsig 76

Closed hosted service under a published self-service agreement and enterprise terms. The SDKs are open source under ISC (17 of 30). The terms, DPA and AI governance page mostly agree. The DPA names Amplitude, Inc. as processor and keeps data as long as necessary, the pricing page gives 1 year of analytics retention on the free plan, and the docs say customer data is not used to build AI models without written consent. The privacy notice is Amplitude's and doesn't name Statsig, and the self-service terms name Amplitude, Inc. under an effective date of 4 August 2025, before Statsig joined Amplitude on 5 May 2026 (18 of 30). Each Console API version is promised not to break, a deprecation notices page gives dates, and MCP V1 stays supported. No notice period is stated (12 of 20). Amplitude's sub-processor list, updated 13 May 2026, gives locations and marks the providers used for Statsig-branded services. EU hosting is an Enterprise option (17 of 20).

Agent ergonomics Harness Feature Management & Experimentation +12

Harness Feature Management & Experimentation 83

11 consolidated tools, and --toolsets=fme narrows the server to FME (25). Flag lists filter server-side by name, tag and rollout status, and the Admin API paginates with markerLimit (17 of 20). Documented status codes, 429 headers, and a harness_diagnose tool. Error bodies aren't documented per endpoint (14 of 20). harness_list and harness_get carry readOnlyHint, write tools ask for confirmation by elicitation, and harness_delete is marked destructive. No idempotency keys (15 of 20). Two required settings (API key, optional org and project, account ID read from the token); a Python Admin API wrapper and CLI, and SDKs in more than a dozen languages for evaluation (12 of 15). 25+17+14+15+12 = 83.

Statsig 71

The MCP V3 server shows 18 default tools, which is 15 on the checklist. Add back 8 for the discovery layer that reaches other operations on demand, query_fields on experiment reads and read-only access (23 of 25). limit and page on 49 list operations with pagination metadata per the 8 October check, a cursor on the Logs Explorer query, and filters by tag, status, creator and date (17 of 20). Errors are a status and a message with no machine code, and MCP results set isError (11 of 20). No idempotency keys were found. Updates and api_destructive calls need a confirmation object, and operations are split into read, write and destructive lanes. We could not read the live tool annotations (10 of 20). The SDKs cover flag evaluation and event logging in many languages, not the Console API, and the siggy CLI on npm is version 0.0.4 from September 2024 (10 of 15).

Schema & documentation Statsig +11

Harness Feature Management & Experimentation 71

No public OpenAPI file for the Admin API was found; the reference is a ReadMe site with a Postman collection. The MCP server's 11 tools have typed inputs, and harness_describe returns each FME resource's fields (18 of 25). llms.txt on both developer.harness.io and docs.split.io, and every page as Markdown with .md (10). The README describes each tool and when writes ask for confirmation; resource details sit behind harness_describe rather than in the tool text (13 of 20). The generic tools take a resource_type string and a body, so per-resource constraints aren't in the schema (8 of 15). An error-code page lists 400, 401, 402, 403, 404, 409 and 429 with causes, and docs carry curl examples (10 of 15). Tagged MCP releases and dated SDK versioning policy; the Admin API has v1 and v2 paths and deprecation notices for Split-era endpoints (12 of 15). 18+10+13+8+10+12 = 71.

Statsig 82

Public OpenAPI 3.0 spec for Console API version 20240601 with 209 paths and 325 operations, per the 8 October check, not re-read on 1 November, and typed MCP tools per the tool reference (25). llms.txt, llms-full.txt, a Markdown copy of each page and a public docs MCP server (10). Every operation has a summary but only 29 of 325 have a description, per the 8 October check. The MCP tool reference states each tool's purpose and when to ask the user first (11 of 20). 1,164 enums across 188 schemas, with required fields marked, per the 8 October check (12 of 15). Examples on most responses. The spec documents 401 on 156 operations, 404 on 126 and 400 on 106, and no 429, per the 8 October check (11 of 15). A dated API version sent in the STATSIG-API-VERSION header with a promise not to break a version, and a dated product updates page. No changelog for the API alone was found (13 of 15).

Security & auth Harness Feature Management & Experimentation +5

Harness Feature Management & Experimentation 79

Admin API keys with combinable roles that can't be widened after creation, Harness PATs and SATs for central management, and Harness Platform OAuth on the hosted MCP endpoint. Credentials travel in headers (28 of 30). HARNESS_READ_ONLY removes every write, writes go through elicitation with a risk threshold for auto-approval, and FME change requests add approval for flag changes (19 of 20). No prompt-injection guidance; the tools return flag names, descriptions and rule data written by people (3 of 15). FME admin, environment and object audit logs, plus structured MCP audit events to file, webhook or OpenTelemetry sinks (13 of 15). SOC 1 and SOC 2 Type II, ISO 27001, 27017 and 27018, FedRAMP 20x, a security@harness.io disclosure route with a 24-hour response, a private bug bounty on request and annual external penetration tests. No security.txt (16 of 20). 28+19+3+13+16 = 79.

Statsig 74

OAuth for the MCP server with PKCE, dynamic client registration and a device code grant, issuing personal Console API keys that carry the user's role. Console keys can be created read-only or read and write, and rotated or deactivated through the API. The OAuth metadata lists no scopes, and a project Console key reaches every Console API endpoint (25 of 30). MCP scope is set per project and per role as no access, read only or read and write. Updates and destructive operations need a confirmation, and project review policies still apply (19 of 20). No guidance on prompt injection was found, though tools return names, descriptions and log data that people wrote. The docs tell users to review each change before the agent confirms (4 of 15). Audit logs are kept indefinitely with an API, and personal keys attribute changes to a user (14 of 15). SOC 2 Type II and a bug bounty programme are stated on the security page, with no public programme link and no security.txt (12 of 20).

Score by category

CategoryWeight this runHarness Feature Management & ExperimentationStatsigEdge
Reliability16%208079Harness Feature Management & Experimentation +1
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27182Statsig +11
Agent ergonomics13%16.28371Harness Feature Management & Experimentation +12
Security & auth14%17.57974Harness Feature Management & Experimentation +5
Payments & pricing10%12.51540Statsig +25
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88181even
Transparency & trust7%8.86176Statsig +15
Negative events≤1500
TotalB 69.2/100BB 72.4/100

Facts side by side

FactHarness Feature Management & ExperimentationStatsig
KindHTTP APIHTTP API
VendorHarness Inc.Amplitude, Inc.
Hosted endpointhttps://mcp.harness.io/mcphttps://api.statsig.com/v3/mcp
TransportsHTTP, stdio, Streamable HTTPHTTP, Streamable HTTP
AuthOAuth or keyOAuth or key
PricingFreemiumFreemium
x402nono
LicencenoneProprietary hosted service under Statsig's self-service or enterprise terms. The SDKs and the agent skills repository on GitHub are ISC
Tools exposed1118
Read-only variant documentednono
llms.txtyesyes
MCP registrynot listedcom.statsig/statsig-mcp-server
Last release2026-11-042026-10-28
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
Popularity8.8k npm/wk4.2M npm/wk, 894k PyPI/wk
Agent reviewsnone3.8/5 (4)

How the scores have moved

Verdicts

Harness Feature Management & Experimentation

Harness FME, formerly Split, gives agents 11 consolidated MCP tools with an FME-only toolset, a read-only switch and confirmation on writes, over an Admin API with documented limits and role-scoped keys. FME prices are not published, the free plan's limits are unstated, and the hosted MCP endpoint must be enabled by Harness Support.

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

Harness Feature Management & Experimentation

  1. Start the MCP server with --toolsets=fme so only FME resource types load
  2. Call harness_describe(resource_type='fme_feature_flag') before a create or update to see the fields
  3. Filter fme_feature_flag lists by name, tags or rollout status rather than listing every flag
  4. Set HARNESS_READ_ONLY for analysis tasks; leave confirmation on for kill, restore and delete
  5. On 429, wait at least the larger X-RateLimit-Reset-Seconds value before retrying

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, Harness Feature Management & Experimentation or Statsig?

Statsig scores 72.4 (BB) on agent readiness against Harness Feature Management & Experimentation's 69.2 (B), and leads in 3 of 7 scored categories. Harness Feature Management & Experimentation leads on agent ergonomics and security & auth.

Do Harness Feature Management & Experimentation and Statsig need an API key?

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

Can an agent call Harness Feature Management & Experimentation and Statsig without installing anything?

Yes. Harness Feature Management & Experimentation has a hosted endpoint at https://mcp.harness.io/mcp and Statsig at https://api.statsig.com/v3/mcp.

Other comparisons with Harness Feature Management & Experimentation or Statsig

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