GroqCloud
Inputs and outputs are not retained by default or used for training without permission; limited abuse and feature-specific retention exceptions remain.
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Every classification links back to current provider documentation, pricing, or a live catalog.
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Inputs and outputs are not retained by default or used for training without permission; limited abuse and feature-specific retention exceptions remain.
Unpaid-service inputs and outputs may be retained and used to improve and train Google models.
Workers AI excludes Customer Content from storage, training, and improvement unless the customer deliberately enables a feature or consents.
OpenRouter defaults are protective, but the selected upstream model provider and optional logging or data-sharing controls determine end-to-end handling.
A provider may retain prompts, permit human review, use free-tier content to improve products or models, or route requests through another company. Those rules can differ between free, paid, and enterprise plans.
How we audit data agreementsSearch provider names and exact model IDs, then narrow by the kind of free access you need.
Inputs and outputs are not retained by default or used for training without permission; limited abuse and feature-specific retention exceptions remain.
Hetzner documents no ordinary prompt/output retention, no content training right, and EU-hosted processing.
Workers AI excludes Customer Content from storage, training, and improvement unless the customer deliberately enables a feature or consents.
OpenRouter defaults are protective, but the selected upstream model provider and optional logging or data-sharing controls determine end-to-end handling.
Jina excludes model training, but anonymous Reader retention and non-training content handling remain unclear.
AwanLLM says prompts and generations are not logged and discloses no content-based training or improvement use.
IBM says unsaved API prompts and outputs are not accessed, logged, stored, trained on, or used for improvement without permission.
Modal does not store ordinary endpoint payloads or train on Customer Data without written consent.
No usable public policy was found for prompt retention, training, operator access, or deletion.
Arli AI documents transient-only processing with no prompt/output storage, training, or content-based improvement.
API-specific retention and training protections are not documented clearly enough for a stronger classification.
Content can be logged for 30 days and reviewed for abuse, while training is opt-in and aggregate improvement uses remain.
Model-API retention, training, publisher access, and plan-specific protections are not documented fully.
Sail limits persistent content storage to 48 hours and excludes content from training and service improvement.
The API DPA describes real-time processing without storage and requires explicit agreement before content-based development or improvement.
Unpaid-service inputs and outputs may be retained and used to improve and train Google models.
The gateway deletes content after each request, but upstream retention and non-enterprise protections depend on route controls and provider terms.
No public academic-API agreement defining content retention, training, access, or deletion was found.
Content can be retained for safety without a fixed TTL, while training and upstream handling are not fully documented.
Hugging Face does not store routed bodies, but each selected upstream provider has its own independent data policy.
No usable public policy was found for request-content handling.
Free self-service traffic is logged by default and can use upstream models that train on content.
Free-mode inputs and outputs are eligible for model improvement and training by default unless the user opts out.
Non-enterprise API data is retained and eligible for audio-model improvement by default unless the user opts out.
The free developer terms permit storage and broad product, service, and underlying-model improvement uses.
Endpoint-specific prompt retention and training commitments were not found.
Prompt TTL, route-specific training, product-improvement scope, and upstream handling remain unresolved.
Default terms permit indefinite storage and perpetual use of inputs and outputs for labeling, improvement, promotion, and model training.
OrcaRouter says it does not retain or train on content, but independently governed upstream providers receive the requests.
No endpoint-wide public prompt-retention, training, operator-access, or deletion policy was found.
No public service agreement defining inference retention, training, access, or deletion was found.
Beam permits storage and expressly permits use of customer data and queries to measure and improve the service.
Institutional controls apply, but endpoint-wide content retention, training, administrator access, and deletion terms are not public.
The terms grant broad perpetual improvement rights and some routed models can require training permission.
The gateway defaults to zero retention and no training, but upstream providers are independently governed and optional logging changes retention.
Prompts can be stored or publicly shared and user content may be used to improve the service without a gateway-specific no-training promise.
Ordinary inference is not stored or used for general model or service improvement; persistence is customer-selected.
Cerebras states inference inputs and outputs are not retained or used for content-based training or improvement.
Scaleway excludes ordinary prompt collection and model training, hosts models on its own EU infrastructure, and limits incident retention.
The coordinator is transient, but volunteer workers can inspect or retain plaintext requests outside a uniform contractual control.
Per-request opt-out can exclude training, but participating accounts permit sampled retention and model improvement.
Fikra states prompts and responses are processed in memory, immediately discarded, excluded from logs, and never used for training.
Default inference content is transient and excluded from training and service improvement, subject to narrow legal and support exceptions.
Current free-route retention, training, and multi-path infrastructure handling are not documented precisely.
Hunyuan free-tier retention, training, improvement, and operator-access commitments were not verified.
Campaign terms establish free tokens but do not resolve content TTL, training, improvement, or model-specific routing.
The service claims no logs, but the current upstream model and its data handling are not fully documented.
Jina excludes model training on request content, but retention and broader support or improvement handling remain imprecise.
Training is opt-in, but batch content is retained for seven days and portal or support features add storage and access.
No usable public inference-data policy was found.
Default retention and training treatment are not clear; stronger traceless operation requires explicit configuration.
Open-model requests are transient and no-training by default, but stored-response and proprietary partner routes can differ.
Google Cloud excludes training without permission, but caching, grounding, and session features introduce bounded retention.
Puter and the selected upstream both process requests, while AI-specific TTL and training protections are unresolved.
A no-training statement exists, but prompt/output TTL, deletion, and third-party model handling remain unresolved.
Bedrock is zero-retention and no-training by default, but named model routes have current abuse-review retention exceptions.
API data is deleted after one hour by default, but community models, resultant data, and web history introduce additional handling.
Prompts and responses may be logged and reused for service research, improvement, and published derived datasets.
No usable public inference-data policy was found.
Base inference is stateless and no-training, but abuse review and stateful features can retain content for human access.
Training is excluded, but prompts and outputs may be stored by default unless zero-data-retention mode is enabled.
No usable public inference-data policy was found for the promotion.
Alibaba excludes training without consent, but request data is stored regionally and third-party model terms can differ.
The AI FAQ promises transient no-training inference, but feedback storage, node operators, and a broader content license remain.
Default terms permit retention, third-party disclosure, model training, and service improvement unless the user opts out.
No usable public inference-data agreement was found.
No usable public inference-data policy was found.
Free developer inputs and outputs are collected and may support service improvement without a clear default no-training commitment.
Every request body is logged and scrubbed content may be used in internal evaluation datasets; premium access can require training opt-in.
The terms grant broad perpetual rights to store and use inputs and outputs for debugging and service improvement.
Standard terms permit perpetual storage, model training, and improvement unless an eligible organization opts out.
Standard terms allow indefinite retention in some modes and permit training and broad improvement unless excluded or opted out.
Current free-service terms expressly allow storage, service improvement, AI research, and model training with inputs and outputs.
Inputs and predictions are stored by default and the general terms retain broad service-development rights.
Named free routes may collect prompts and completions for model improvement or training, with route-specific retention.
The terms authorize use of inputs and outputs to develop and improve the service without a clear no-training commitment.
We keep disputed offers on a watchlist and document providers whose free tier is retired, UI-only, BYOK, or simply paid.