APIMart FAQs

What is APIMart and what does it offer?

APIMart is a unified AI API platform that aggregates more than 500 AI models—including chat, video, and image generators—under a single OpenAI‑compatible endpoint. Users can access models such as GPT‑5, Claude Sonnet 4.5, Sora 2, and Nano Banana, while benefiting from transparent pricing, volume discounts, and centralized key management.

Which AI models are available on APIMart?

The marketplace hosts over 100 curated models across three primary categories: Chat models (e.g., GPT‑5, Claude Opus 4.7, GLM 5.1), Video models (e.g., Sora 2, Kling V3 Omni, ViduQ3 Turbo), and Image models (e.g., Nano Banana Pro, Flux.1, Seedream 4.0). All models are reachable through the same RESTful API with consistent request syntax.

How does APIMart’s pricing compare with other providers?

APIMart advertises cost reductions of 30 %–70 % relative to direct vendor pricing and competitor aggregators like Fal.ai or Replicate. Pricing is pay‑as‑you‑go, expressed per‑token for LLMs or per‑second for video models, with no hidden monthly minimums. Automatic volume‑tier discounts further lower the effective rate as usage grows.

How can developers integrate the APIMart API into their applications?

Integration follows three steps: (1) create a free account and generate an API key; (2) replace the base URL in existing OpenAI‑compatible SDKs with https://api.apimart.ai/v1/; (3) invoke the desired model using the standard request payload (messages for chat, prompt for image/video). Comprehensive code samples are provided for cURL, Python, JavaScript, Go, Java, and PHP.

Why should teams choose APIMart instead of calling each model provider directly?

Using APIMart eliminates the need to maintain separate accounts, API keys, and billing statements for each vendor. A single dashboard provides real‑time usage metrics, quota controls, and key revocation. Consolidated invoicing, predictable per‑call costs, and aggregated discounts simplify budgeting for multi‑model projects.

Is the API key storage secure on APIMart?

Yes. API keys are encrypted at rest using industry‑standard cryptographic algorithms. Users can rotate or revoke keys instantly from the console, and all access is logged for audit purposes. This design helps protect credentials against unauthorized use while meeting common compliance requirements.

What kind of support does APIMart provide to its users?

APIMart offers human‑level technical support via live chat and email, staffed by engineers familiar with the integrated models. Documentation includes detailed API references, quick‑start guides, and example projects. For enterprise customers, service‑level agreements (SLAs) guarantee response times and uptime commitments.

Can I use APIMart for commercial or production workloads?

Absolutely. The platform is built on production‑grade infrastructure with guaranteed availability and scalability. Users can configure usage quotas, monitor real‑time metrics, and rely on the same billing model that powers large‑scale deployments, making it suitable for SaaS products, internal tools, and research prototypes alike.

• APIMart aggregates over 500 AI models—chat, image, video—into a single OpenAI‑compatible endpoint, offering unified access, transparent pricing, and simplified key management.

• Register on the APIMart dashboard, generate an API key without a credit‑card, and copy the token; this key authenticates all subsequent model calls.

• Replace the default base URL in your code with https://api.apimart.ai/v1/, then insert the Authorization header Bearer <your‑token> as shown in the cURL example.

• Submit a request specifying the desired model (e.g., "gpt-4o" or "nano-banana"), include required payload fields such as messages or prompt, and execute the HTTP POST.

• Receive a JSON response containing choices, usage metrics, and model‑specific outputs; parse usage to monitor token consumption and cost forecasting.

• Compare the returned content against project goals—e.g., image quality, video fidelity, or LLM reasoning—and iterate prompts or model selection to optimize performance.