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The homepage offers a free API key to start testing, though the credit amount and expiry terms are not stated on the page.
Learn moreOne API key for every major AI media and LLM model, with automatic failover.

APIPod is a single-endpoint API gateway for AI media and language models, bundling image, video and LLM providers with weighted routing, circuit breaker failover, usage dashboards and pay-as-you-go billing.
APIPod is an API gateway that puts the leading image, video and language models behind a single endpoint. Developers get one key, one billing account and one request format for a catalog the homepage counts as 156 models from 14 providers. The media lineup covers text-to-video and image-to-video models such as Seedance 2.5, Veo 3.1, Kling 3.0, Grok Imagine 1.5, WAN 3.0 and Gemini Omni, alongside image models including Nano Banana 2.1, GPT Image 2.5 and Seedream 5.0 Pro. Chat and reasoning models from the GPT, Claude, Gemini, DeepSeek and Kimi families sit in the same catalog, so a pipeline can mix a text model that writes a prompt with a video model that renders it. The product is built for people who ship AI features rather than individuals playing with a single model. The intended users named on the site are autonomous agents, bulk content production and enterprise gateway deployments, and the routing design reflects that. A given model can be backed by several channels with weighted traffic splits, and the gateway balances latency against cost when choosing one. If a channel starts returning errors, a circuit breaker opens after three consecutive failures, cools down for 30 seconds, probes the channel and sends traffic elsewhere. The homepage shows a failover example recovering in about 38 milliseconds. In practice the workflow is a three-step API pattern: create a key, submit a generation task and receive a task_id, then poll until the image or video URL is ready. Observability is part of the deal, with request logs, token and duration usage, and cost dashboards. Billing is flexible per token, per request or per duration, which matters because video jobs are priced by seconds rendered while LLM calls are priced by tokens. Alternatives fall into two groups: going direct to each provider, which means several contracts and keys, or using a general model router. APIPod's differentiator is depth on the media side, with many video and image variants plus a library of curated prompts to draw on, rather than a pure text-first router.
The homepage offers a free API key to start testing, though the credit amount and expiry terms are not stated on the page.
Learn morePay as you go with no subscription. Billing can run per token, per request or per duration, so video jobs are charged by seconds rendered and LLM calls by tokens. The homepage lists Veo 3.1 at $0.08 and shows sample charges such as $0.17 for a 5 second Seedance 2.0 clip. Most LLM and image rates are not published on the homepage.
Learn moreThe public documentation site covers routing, circuit breaker behavior, the observability platform and billing, and serves as the main reference point. No dedicated help desk or support channels are described on the homepage.
Learn moreAccess is via the REST endpoint at api.apipod.ai/v1, with documented SDK formats and code samples in Node, Python and curl. Upstream providers include OpenAI, Anthropic, Google, ByteDance, Alibaba, DeepSeek, Kimi, Kling, MiniMax, xAI, z-ai, doubao, fal and APIPod itself.
Learn moreSingle endpoint and key for 156 models across 14 providers, spanning text-to-video, image-to-video, text-to-image, image-to-image and LLM text models. Weighted multi-channel routing balances cost and latency, and a circuit breaker isolates failing channels after three consecutive errors with a 30 second cooldown. Observability covers request logs, token usage and cost dashboards, and the platform also ships a curated prompt library and SDK examples in Node, Python and curl.
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