Ethical Stack.

Arcee API

Hosted, OpenAI-compatible chat-completions API with selectable models and token billing.

Score calculation

(2 + 5 + 2 + 1 + 7) ÷ 5 = 3.4

5 of six dimensions rated. Unrated dimensions are excluded from the average.

Full scoring method ↗
Setup details

Arcee Platform inference API at api.arcee.ai; selected model and any underlying model-provider terms vary by request.

What fits your needs

Hosted Arcee Platform API; available models and any provider-specific terms vary by selected model.

API integration

The quick start provides a chat-completions endpoint and examples using curl, Python and JavaScript with an API key.

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Model choice

The caller supplies a model identifier; Arcee publishes a live list of model-specific input, output and cached-input token prices.

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Tradeoffs to expect

Billing and hosting

Create an account and API key; prepaid token balance is tracked against usage, and price depends on the selected model and token direction.

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Input handling

The API retention policy says inputs and outputs are not kept in persistent storage after processing, while broader policies permit some unpaid content to support improvement and allow model-provider processing where applicable.

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How to switch

Setup

Register on Arcee Platform, create an API key, top up the wallet if needed, choose a model, then send requests to the documented endpoint.

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Practical questions

Age boundary

Terms require users to be at least 18; the privacy policy says under-18s should not access the site or service. It does not present a parental-permission pathway for using the API.

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Personal-data inputs

Terms require that submitted inputs not contain specified personally identifying or protected information covered by privacy laws; redact such data before sending requests.

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Safety and impersonation

Terms prohibit unlawful or privacy-violating content, impersonation, content harmful to children, and high-risk automated decisions; they don’t confirm a separate API approval gate or military-use-specific restriction.

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Availability

Arcee's terms say service functions or availability may vary by jurisdiction; confirm the current account and route access where you will use it.

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External actions

The documented API example is a chat-completions request; reviewed docs don’t show a product tool-execution path or a human-approval control before external actions.

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Model route

Check the selected model's release and any third-party provider agreement; API model selection can change the model owner and applicable handling terms.

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Energy practices

2/10↑

Documentation identifies a hosted API boundary, but does not report its physical footprint or request-level resource controls.

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This practices assessment covers Arcee's hosted inference API, whose docs identify the API endpoint and selectable model catalog. Published token prices are billing information, not energy measurements; electricity sourcing and per-request energy, emissions and water remain unestablished.

1 + 1 reporting + 0 electricity + 0 controls = 2/10. This grades documented practices and transparency.

No route-specific electricity mix, energy or water measurements, regional serving map, or documented resource-saving request control was found.

Reporting1/3
Arcee documents this as a hosted inference API and publishes a model catalog, establishing the service boundary but no route-specific footprint report.
Electricity sourcing0/3
The reviewed API materials do not map this endpoint and selected model to measured electricity use or a time- and location-matched clean-power supply.
Resource controls0/3
The reviewed quick start and pricing page do not document a user-facing workload control with a measured resource reduction for this API route.

Water disclosure

Water reporting has not been assessed for this choice.

Training data

—Depends on the model↑

Training-data provenance and permissions depend on the model selected through the API; hosted service terms also permit some submitted content to be used for model improvement.

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The API requires the caller to choose a model, and the live catalog lists Arcee and external model families with distinct releases. Arcee's privacy policy separately permits training or improvement use of unpaid-service inputs and outputs; neither fact establishes the underlying selected model's training data provenance or permissions.

Check the exact model release, training data and rights record, plus the applicable model-provider terms; API content-use terms do not prove training data permission.

Your data & privacy

5/10↑

Arcee says its inference API uses zero persistent retention by default, while its privacy policy allows unpaid-service inputs and outputs to be used for improvement unless the user opts out; flagged or reported content can still be used for safety improvement.

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The specific retention policy says the API does not persistently store inputs or outputs after processing, but the general privacy policy allows unpaid-service content to train or improve services unless a user emails support, with safety-review and reported-content exceptions. Terms also authorize third-party model providers to process data where applicable, so the selected model route remains relevant.

A defined API non-persistence policy is a meaningful control, but content-use permissions and possible third-party model-provider processing leave material route-specific exposure.

The policies do not explain how default API training use is reconciled with zero persistent retention, nor identify every underlying model provider or route-level region; avoid sensitive or regulated personal data under the terms.

Openness

2/10↑

The API is a hosted interface; its serving runtime is not provided for self-hosting as part of this route.

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Arcee documents account setup, API credentials, a hosted endpoint and model selection. The company separately offers downloadable weights, but those artifacts do not make this managed API runtime inspectable or self-hostable; the selected model catalog can also include third-party model families.

The hosted API exposes a documented interface and selectable models but not the service runtime or serving infrastructure.

The serving stack, deployment configuration and per-model hosting implementation are not published in the reviewed API documentation.

Worker protections

1/10↑

Arcee reports that its team built Trinity and will expand; reviewed primary sources do not describe workforce conditions or worker channels.

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Arcee’s company update says the Trinity team built its 2025 model lineup and that the Series B will support hiring and growth. It does not set out pay, working conditions, supplier safeguards, or grievance processes for employees and model contractors, so this remains a disclosure gap. These findings concern the developer or operator. This product’s use in a particular deployment needs separate evidence.

1 base + 0 documented conditions + 0 voice/remedy + 0 assurance = 1/10. Team and funding statements don’t confirm worker protections.

No worker pay, location, conditions, supplier coverage, voice or remedy system, independent audit, or follow-through outcomes were established in the reviewed official company sources.

Pay & conditions0/3
Arcee discusses its team and hiring plans, but the reviewed company sources do not publish pay or working-condition standards for staff and contractors.
Worker voice & remedy0/3
No employee or supplier grievance channel, non-retaliation commitment, or remedy mechanism was established in the reviewed sources.
Evidence & follow-through0/3
No independent worker-level audit or labor remediation outcome was established in the reviewed sources.
Workers rubric ↗

Military ties

7/10Civilian government work↑

Arcee publicly describes a civilian-science collaboration with DOE; no Arcee-Anduril or defense deployment link was established in reviewed official company materials.

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Arcee and DOE describe Genesis-Science-1 as an open model for scientific research with national laboratories shaping research tasks. That is a public civilian-government collaboration, not evidence of military use. Trinity’s OpenMDW license imposes no field-of-use restriction; no separate defense safeguard was found. These findings concern the developer or operator. This product’s use in a particular deployment needs separate evidence.

7 base + 0 safeguard adjustment = 7/10 (2 of 9 safeguard points; every 3 adds 1). No military relationship was established in the cited sources. This ranks above known defense ties without claiming a verified clean record.

No military customer, Anduril relationship, defense contract, Granite-like model deployment, or military-use enforcement process is established in the reviewed official sources.

Use restrictions0/4
OpenMDW-1.1 grants unrestricted use without a field-of-use restriction; that is a license scope finding, not proof of military deployment.
Enforcement & oversight0/3
No monitoring or enforcement for military use of downloaded Trinity weights was established.
Relationship disclosure2/2
Arcee publicly describes its DOE and national-laboratory Genesis collaboration; the source scopes it to scientific research.

Arcee publicly collaborates with DOE and national laboratories on a scientific model. Reviewed company sources did not establish a defense relationship.

Military rubric ↗

BDS targets

Not listed↑

Arcee AI is not named in the two official BNC campaign lists checked. This is a limited list check, not BDS approval.

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The official BNC consumer boycott/pressure guide and No Tech campaign page do not name Arcee AI among their current targets. BDS uses selective campaigns, so absence from these lists is neutral and should not be read as a clean record or approval. These findings concern the developer or operator. This product’s use in a particular deployment needs separate evidence.

This check covers only named targets in the two cited BNC campaigns; it does not cover all BDS campaigns, local groups, investments, suppliers, or downstream hosts. Lists and ownership may change.

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