# Duelpilot vs Eppo (Datadog Experiments)

> Warehouse-native experimentation, now sold as Datadog Experiments after Datadog acquired Eppo in 2025, for data and engineering teams. Duelpilot is A/B testing run by your own AI agent over MCP, with a person approving every launch. Both can be used by an AI agent over MCP. The biggest difference is who launches: in Eppo (Datadog Experiments) an agent can start tests itself, in Duelpilot a person approves (or an owner's autopilot policy, within guardrails). Eppo (Datadog Experiments) is priced by usage; Duelpilot is flat per site, without AI credits.

Last reviewed: 2026-10-17 · HTML version: https://duelpilot.com/compare/duelpilot-vs-eppo

## At a glance

Duelpilot and Eppo (Datadog Experiments) side by side. Each cell links to its source.

|  | Duelpilot | Eppo (Datadog Experiments) |
|---|---|---|
| MCP server or agent API | Yes — Remote MCP server with 48 tools; OAuth for claude.ai and ChatGPT, bearer token elsewhere. [source](https://duelpilot.com/agents.md) | Yes — Datadog MCP Server with the experiments toolset enabled (off by default). [source](https://docs.datadoghq.com/mcp_server/tools/) |
| Your own agent designs variants | Yes — Your agent designs 2–4 variants per idea, each with a preview and a device check. [source](https://duelpilot.com/agents.md) | Yes — create\_experiment, create\_datadog\_feature\_flag, link\_feature\_flag\_to\_experiment. [source](https://docs.datadoghq.com/mcp_server/tools/) |
| An agent can launch tests without a person | No — A person approves every launch; an owner can switch on an autopilot policy with guardrails, never an agent. [source](https://duelpilot.com/index.md) | Yes — start\_experiment, conclude\_experiment and cancel\_experiment tools; no approval gate is documented. [source](https://docs.datadoghq.com/mcp_server/tools/) |
| Visual tests on any website | Yes — One script tag; works with React/Next.js, Vue, Astro, SPAs and strict CSP. [source](https://duelpilot.com/index.md) | Unknown — No visual editor mentioned. [source](https://docs.datadoghq.com/experiments/) |
| Server-side / code experiments | Yes — Code plan only: your agent builds the arms in your repo behind Duelpilot flags. [source](https://duelpilot.com/agents.md) | Yes — Randomization through Datadog Feature Flags. [source](https://docs.datadoghq.com/experiments/) |
| Sequential (peek-safe) statistics | Yes — mSPRT: always-valid p-values, safe to check daily. [source](https://duelpilot.com/index.md) | Yes — Sequential frequentist, fixed-sample frequentist, sequential hybrid and Bayesian. [source](https://docs.datadoghq.com/experiments/) |
| Charges for AI usage / credits | No — The AI runs in your own agent's subscription. [source](https://duelpilot.com/pricing.md) | Unknown — Not stated for Experiments. [source](https://www.datadoghq.com/pricing/?product=experiments) |
| Free plan | No — No free plan; your first test is free on every plan, Starter from €9/month. [source](https://duelpilot.com/pricing.md) | No — No free tier listed for Experiments. [source](https://www.datadoghq.com/pricing/?product=experiments) |
| Pricing model | flat per site | by usage |

## Pricing

### Duelpilot

*Pricing: flat per site*

Starter €9/month (€7 billed yearly); Pro €49/month (€39 billed yearly); Team €149/month (€119 billed yearly, 5 sites); Code €199/month (€159 billed yearly, 5 sites); Enterprise on request. No free plan; the first test is free on every plan.

[source](https://duelpilot.com/pricing.md)

### Eppo (Datadog Experiments)

*Pricing: by usage*

Starting at $450 per launched experiment, per month (billed annually) or $575 on-demand; includes 1M flag configuration requests per experiment.

[source](https://www.datadoghq.com/pricing/?product=experiments)

Prices as published by each vendor on the date checked, excluding VAT. Duelpilot has no visitor meters and no AI credits: the AI runs in your own agent's subscription.

## What Eppo (Datadog Experiments) does well

- Four analysis methods including sequential frequentist and Bayesian (docs.datadoghq.com/experiments).
- Full experiment lifecycle available in the Datadog MCP server's experiments toolset (docs.datadoghq.com/mcp\_server/tools).
- Billed only for experiments that launch and reach a minimum of data (datadoghq.com/pricing).

## What Duelpilot does well

- Your own agent does the research, design, checks and monitoring over MCP (48 tools); no AI bill from Duelpilot.
- A person approves every launch: no MCP tool can approve, launch, pick a winner or ship.
- Always-valid sequential statistics (mSPRT) with Holm correction, sample-ratio-mismatch checks and guardrail metrics.
- Every variant gets a preview link and a site check on phone, tablet and desktop before anyone can approve it.
- Flat price per site, published, from €9/month, and your first test is free on every plan; no visitor meters.

### Where Duelpilot falls short

- You need an AI agent that speaks MCP; without one there is no visual editor to build variants by hand.
- No heatmaps or session recordings: Duelpilot counts results and sends variants to your own analytics.
- A young product (2026): fewer integrations and a shorter track record than established tools.

## Which one should you choose?

### Choose Eppo (Datadog Experiments) if…

Choose Datadog Experiments if you already run on Datadog, analyse in a data warehouse and want rigorous, engineering-owned experiments next to your observability data.

[Eppo (Datadog Experiments) website](https://www.datadoghq.com/product/experiments/)

### Choose Duelpilot if…

Choose Duelpilot if you run website tests every week: a Duelpilot site costs €49 per month flat, less than one launched Datadog experiment, and your own agent does the research and design.

[How Duelpilot works](https://duelpilot.com/#how)

## Try Duelpilot with your own agent

Give your agent one line: [set up Duelpilot for my site using /agents.md](https://duelpilot.com/agents.md). It opens a workspace, installs and verifies the script, and drafts the first test; you approve what goes live. [Try your first test free](https://duelpilot.com/login) or [see pricing](https://duelpilot.com/#pricing).

## FAQ

### What happened to Eppo?

Datadog acquired Eppo in 2025; it is now offered as Datadog Experiments, priced per launched experiment.

### Can an agent start a Datadog experiment?

Yes, the Datadog MCP experiments toolset includes start\_experiment and conclude\_experiment. Duelpilot has no launch tool; people or an owner's autopilot policy launch.

### Does Datadog Experiments do visual website tests?

We found no visual editor in its docs (checked 17 Oct 2026). Duelpilot's visual tests run from one script tag on any website.

## Sources

- [Datadog MCP Server Tools](https://docs.datadoghq.com/mcp_server/tools/) (checked 2026-10-17)
- [Experiments | Datadog Docs](https://docs.datadoghq.com/experiments/) (checked 2026-10-17)
- [Pricing | Datadog Experiments](https://www.datadoghq.com/pricing/?product=experiments) (checked 2026-10-17)
- [Duelpilot instructions for AI agents](https://duelpilot.com/agents.md) (checked 2026-10-17)
- [Duelpilot overview](https://duelpilot.com/index.md) (checked 2026-10-17)
- [Duelpilot pricing](https://duelpilot.com/pricing.md) (checked 2026-10-17)

## Related

- [Duelpilot vs Amplitude Experiment](https://duelpilot.com/compare/duelpilot-vs-amplitude-experiment)
- [Duelpilot vs GrowthBook](https://duelpilot.com/compare/duelpilot-vs-growthbook)
- [Duelpilot vs PostHog Experiments](https://duelpilot.com/compare/duelpilot-vs-posthog)
- [Duelpilot vs Statsig](https://duelpilot.com/compare/duelpilot-vs-statsig)
- [Best Eppo (Datadog Experiments) alternatives](https://duelpilot.com/alternatives/eppo-alternatives)
- [Agentic A/B testing explained](https://duelpilot.com/agentic-ab-testing)
- [All comparisons](https://duelpilot.com/compare)
