Agent testing / Halluminate alternative

Halluminate alternative

Halluminate is a research and data company building benchmarks and reinforcement-learning environments, with a current focus on financial-services and consulting workflows. Its task design and verifiable rewards address a different need from giving each production agent a durable Linux computer.

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Reviewed 2026-10-18 · Published by the Sandbox0 team

When Halluminate fits

Halluminate fits AI labs or teams seeking expert-authored financial tasks, managed training environments and evaluation methods. Keep that data and grading layer if the goal is measuring or improving a model’s domain capability.

When to consider Sandbox0

Consider Sandbox0 when the requirement is the execution environment for your own agent, with retained system tools and growing whole RootFS. You must supply or license the tasks, simulator, evaluation harness and reward logic; raw runtime compute does not replace Halluminate’s research/data product.

Capabilities

Halluminate and Sandbox0: what persists?

Feature comparison with documentation and verification status
Environment and runtime lifetimeHalluminateNot established in this reviewSandbox0ttl and hard_ttl default to 0 (disabled). Configure idle pause and deletion policies for the same persistent sandbox identity; an idle running sandbox still accrues compute charges.Read documentation →
Persistent filesHalluminateManaged training environments are described; a general-purpose durable customer disk contract is not established.View evidence ↗Sandbox0The writable RootFS survives successful checkpoints, including software, system configuration, dependencies, and user data.Read documentation →
Whole RootFSHalluminateAn RL environment does not establish retention of an arbitrary whole writable Linux RootFS across production tasks.View evidence ↗Sandbox0Persistence extends beyond /workspace to paths such as /usr/local, /etc, and /home. Runtime tmpfs and virtual filesystems are excluded.Read documentation →
Release compute, keep stateHalluminateRepeatable simulator tasks do not establish a production machine checkpoint/restore service.View evidence ↗Sandbox0Pause compute between tasks; resume on available capacity. Default resume starts fresh processes from the saved filesystem.Read documentation →
Memory and process stateHalluminateArbitrary process-memory capture/restore is not established by the reviewed benchmark material.View evidence ↗Sandbox0Experimental memory checkpoints can preserve compatible process state. Use memory: true on both pause and resume on a compatible deployment. A filesystem checkpoint alone does not preserve running processes.Read documentation →

Online RootFS growth

On growth-enabled images, Sandbox0 automatically expands the writable RootFS as free space runs low, within a configured sparse logical ceiling up to 64 TiB. Agent processes keep running. Growth is enabled in the qualified Cloud region; confirm activation for other regions. Existing images and snapshots retain their captured storage geometry. The ceiling is logical capacity, not preallocated host disk.

Halluminate provides domain tasks and managed training worlds; the reviewed material does not establish automatic growth of a customer’s full Linux RootFS. Sandbox0 can retain system packages, configuration and growing agent data, while evaluation content remains a separate layer.

Files while compute is paused

Sandbox0's Files API reads persistent files without resuming compute. Filesystem-only pauses also permit edits; retained-memory pauses are read-only and reject mutations with 409. SSH, SFTP, file watching, and runtime-only mounts require running compute.

Benchmark datasets and simulator outputs are different from reading or editing an entire paused Linux RootFS. The reviewed Halluminate materials do not establish that file-operation contract.

See paused file operations →

Expert task design is part of the offering

The current homepage focuses on economically valuable knowledge work, and the vendor index describes financial professionals authoring training problems with verifiable rewards. Buying an environment here can include domain-specific content and grading, not merely a machine with software installed.

Source 1 ↗Source 2 ↗

A simulated website is different from a production account

Westworld describes realistic software simulations for controlled browser-agent evaluation and training. Such simulations help define tasks and inspect outcomes without making every run depend on a live third-party application. They do not themselves establish production-account access or the persistence policy of a general-purpose Linux runtime.

Source 1 ↗

Benchmark results need their task and harness context

Halluminate’s current financial-diligence work describes multi-step problems evaluated with native CLI harnesses and its own computer/tool-use harness. Preserve the task, harness and verifier when interpreting results. Those scores do not establish equivalent throughput, compatibility or runtime behavior on Sandbox0.

Source 1 ↗

Pricing

Compare billing models, then price your workload

CPU allocation, memory, billing minimums, disk, plan fees, and supported workload differ. These meters are not equal-performance machine quotes. Confirm region, resource units, and included allowances before estimating a total.

Halluminate

Pricing reviewed 2026-10-18

Customer RL-environment fees
Customer quote required
Use the vendor’s contact route for data, task, managed infrastructure and deployment terms.
Rate source ↗

Obtain terms for the required tasks, data, managed infrastructure and deployment scope. Expert-contributor compensation is a different relationship from a customer’s environment price. A custom data/training engagement should be evaluated separately from an isolated Linux runtime unit.

Check current Halluminate pricing ↗

Sandbox0

$0.015/GiB-hour compute (billed by the second at approximately $0.000004167/GiB-second), plus $0.02/GiB-month of retained incremental RootFS and memory checkpoint data. Shared base images and platform recovery retention are excluded; paused sandboxes accrue storage charges only.

Compute / GiB-hour
$0.015
Retained data / GiB-month
$0.02
Paused compute
$0.00

A 4 GiB agent, 100 running hours

$6.00 compute

4 GiB × 100 hours, billed by the second. Keeping 20 GiB of billable incremental data for a full billing month adds $0.40. CPU is derived from memory by the platform; choose a tier that fits your workload.

Understand storage billing →

Before migrating from Halluminate

  1. Identify the exact licensed tasks, simulator versions, harness, rewards, data rights and managed-service terms you need to retain.
  2. Run compatible agent/harness code on Sandbox0 where appropriate, supplying the licensed simulator and verifiers rather than assuming raw compute replaces them.
  3. Validate task reproducibility and grading, durable system dependencies, RootFS growth, paused files and full data/service plus runtime costs.

Common questions

Is Sandbox0 a drop-in Halluminate replacement?

Evaluate API compatibility and product scope. These products serve different core workflows, so a change may require a different architecture.

Does keeping files also keep a running agent?

Filesystem state and volatile process state are separate. Sandbox0 requires explicit compatible memory checkpoints to preserve running processes; its default filesystem resume starts fresh processes.

Sources and review scope

The Boat team's Battleships directory is the discovery source. References below describe the product and plan discussed on this page. Check current availability, regional terms and billing units before migrating. Where the cited material does not establish a capability or price, the comparison identifies that uncertainty.

Battleships research record ↗www.halluminate.ai/ ↗www.halluminate.ai/llms.txt ↗www.halluminate.ai/blog/westworld ↗Sandbox0 RootFS capacity →

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