LEGAL / PRIVACY

Content is routed.
Not retained.

Keyvera stores account and usage metadata needed to operate and bill the service, not prompt or response content.

0PROMPTS STORED
TLSENCRYPTED
EUOPERATED
01
01 / STORED

Account and usage metadata.

Keyvera retains the information needed for authentication, billing, support, and audit records.

Account details
Token counts
Model IDs
Timestamps
02
02 / NOT STORED

Prompt and response content.

The gateway proxies content to the selected upstream provider without persisting it in Keyvera's application database.

No conversation history
No model training
No prompt analytics
No content archive
03
03 / PROVIDERS

Upstream policies still apply.

Each selected provider governs the traffic it receives under its own API data policy.

Provider-specific handling
Encrypted transit
Purpose-limited metadata
Support access controls
TECHNICAL CONTEXT

Content is routed. Not retained: practical SEO-ready details.

Keyvera stores account and usage metadata needed to operate and bill the service, not prompt or response content. This section explains the page in plain language so developers, buyers, and search engines can understand the exact role it plays in the Keyvera AI API gateway.

What this page covers

This page explains content is routed. not retained for teams evaluating Keyvera as an OpenAI-compatible AI API gateway. It connects the high-level product promise to concrete implementation details, operating expectations, and internal resources.

The core topics include Account details, Token counts, Model IDs, Timestamps, and No conversation history. These terms are intentionally written into the page copy because they describe what a developer or technical buyer is likely trying to compare before committing an AI infrastructure change.

How it works in production

Keyvera retains the information needed for authentication, billing, support, and audit records. In practice, Keyvera keeps the request surface familiar: your application sends a chat-completions style request, identifies the model route, streams the response when supported, and receives token usage for metering.

The gateway proxies content to the selected upstream provider without persisting it in Keyvera's application database. That means teams can test capability, latency, and cost without maintaining a different code path for every upstream provider. The gateway layer is especially useful when products need fallback options, model experimentation, or a predictable billing surface.

Who should use it

Each selected provider governs the traffic it receives under its own API data policy. The strongest fit is a product team that already understands API-based AI development but wants fewer vendor accounts, fewer credential surfaces, and clearer cost tracking.

Use this page as a decision point when comparing Keyvera with direct provider accounts, model marketplaces, internal proxy services, or custom gateway code.

Boundaries and next steps

Legal and privacy pages should be explicit rather than promotional. They clarify responsibilities, data handling, billing expectations, and service boundaries so users can evaluate the platform with fewer assumptions.

Next, review Models for the live route catalog, pricing for token-rate comparisons, integrations for setup guidance, and security for data-handling boundaries.

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