PaleBlueDot.AI
PaleBlueDot AI is a Palo Alto, California headquartered AI compute and intelligence platform that supplies GPU infrastructure, dedicated clusters and model access at scale. Its developer-facing product is PBD TokenRouter (www.tokenrouter.com), a unified AI model gateway that fronts 131 currently listed models from 22 vendors behind a single API key and four wire formats - OpenAI Chat Completions, OpenAI Responses, Anthropic Messages and Google Gemini generateContent - alongside image, audio and video generation endpoints. TokenRouter layers cross-provider routing and failover, prompt caching, per-key spend quotas, organization-level usage analytics and a stated Zero Data Retention policy on top of those models, and publishes a documented Management API for API key, quota, wallet and usage-log administration. The TokenRouter platform is operated by Artemis Tokenrouter Inc.
PaleBlueDot.AI publishes 2 APIs on the APIs.io network. Tagged areas include Artificial Intelligence, Machine-Learning, Large Language Models, Inference, and API Gateway.
PaleBlueDot.AI’s developer surface includes documentation, API reference, getting-started guide, engineering blog, pricing, support, changelog, and 19 more developer resources.
Kin Score
APIs 2
Individual APIs this provider publishes, each with its own machine-readable definition.
PBD TokenRouter Inference API
OpenAI-, Anthropic- and Gemini-compatible inference gateway. One API key and one base URL route requests across 131 listed models from 22 vendors, with cross-provider failover, ...
PBD TokenRouter Management API
Administrative API for holders of a Management Key, covering API key listing/enable/disable, per-key spend quota, personal and organization wallet balances, and paginated or CSV...
Pricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Palebluedotai Rate Limits
RATE LIMITSSecurity Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Get Started 3
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 4
Pagination, idempotency, versioning, errors, and events
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Operate 4
Status, limits, changes, and where to get help
Commercial 4
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Source (apis.yml)
Work with this as data
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