OpenAI compatible API · Attested · Public status

Decart

Explore Decart models on TrustedRouter with current routes, token pricing, policy sources, privacy posture, regional availability, and API support.

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Decartdecart

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These privacy labels describe Decart, the upstream model provider. ZDR is a retention policy; verified confidential inference additionally requires attested provider compute and end-to-end encryption.

ProviderDecart
Routing statusActive
Provider websitehttps://decart.ai/
Models4 public models
Credits routes4
Zero data retentionno
Verified confidential inferenceNot verified
Policy noteDecart's public terms permit service-related use of submitted content and do not promise zero retention or confidential compute. This route is Standard.
Policy source
Provider models

Models served by Decart.

Each row links to pricing, provider, benchmark, and API pages for the model.

Model AI IQ Context Input Cached input Output
decart/lucy-2.5
Decart Lucy 2.5
10,000 selected route Not published selected route
decart/lucy-image-2
Lucy Image 2
0 selected route Not published selected route
decart/lucy-restyle-2
Decart Lucy Restyle 2
10,000 selected route Not published selected route
decart/lucy-vton-3.5
Decart Lucy VTON 3.5
10,000 selected route Not published selected route

Questions

Does Decart have zero data retention?

TrustedRouter does not currently mark Decart as provider-level zero data retention. Use trustedrouter/zdr or provider.min_privacy=zdr to select a different eligible route, and review the linked policy source for changes.

Is Decart end-to-end encrypted?

TrustedRouter does not currently mark Decart as end-to-end encrypted at the provider boundary. The TrustedRouter gateway is still attested, but the selected provider normally receives the request in order to run the model. Use trustedrouter/e2e for the stronger route requirement.

Which Decart models are available through TrustedRouter?

This page currently lists 4 public Decart models, with live pricing, route count, context length, measured performance when available, and links to each model's provider and benchmark pages.

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