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AI ToolBecomes the API

reAPI Review

reAPI is a unified API for top AI models covering image, video, chat, music, and code generation.

shipped May 31, 2026apifreemium
apideveloper-toolsinfrastructure
reAPI - AI tool

Why it matters

1Integrates over 40 leading AI models into a single OpenAI-compatible API endpoint.
2Ensures 99.96% uptime through automatic failover across multiple model providers.
3Operates on a credit-based pricing model, with 1 credit equaling $0.001 USD.
4Guarantees user privacy with a zero request logging policy.

Stork’s verdict on reAPI

reAPI's unified OpenAI-compatible API simplifies 40+ models, but it’s overkill for single-model projects.

reAPI reviewed by Stork AI · stork.ai/en/reapi

Stork Quadrant

Becomes the API· 33/100

Replaceable as a UI, but kept alive as the API the agents call.

“reAPI is an aggregation layer over APIs that are themselves commoditizing fast. The failover routing is real engineering, but OpenRouter already owns that mindshare and every major cloud provider is building it natively. One coordination moat applies — wiring N providers into a single endpoint is non-trivial — but it's thin and shrinking as providers standardize on OpenAI-compatible schemas.”

— Claude Sonnet 4.6, scored 2026-05-31

Defensibility · 15/100

  • Physical-world coupling
  • Regulatory moat
  • Network liquidity
  • Proprietary refreshing data
  • High-trust catastrophic workflows
  • Multi-party coordination
  • Brand / community / taste

An LLM alone could replace

  • Generate text or chat completions — any LLM does this directly
  • Write code to call multiple AI APIs with try/catch failover logic
  • Recommend which AI model to use for a given task
  • Summarize or compare AI model capabilities

Agent-Readiness · 55/100

  • Verified MCP
  • Listed on agent surfaces
  • Usage-based pricing— pricing page heuristic match: https://reapi.ai/pricing
  • Headless agent auth— https://reapi.ai/docs (api-key auth)
  • Public OpenAPI— https://api.reapi.ai/openapi.json
  • Active changelog— https://reapi.ai/changelog (2026-05-07)
  • llms.txt— https://reapi.ai/llms.txt

How to defend

Go vertical: pick one industry (healthcare, legal, fintech) where model selection and failover carry liability, own the compliance story, and charge for the guarantee not the routing. Or become the observability and cost-optimization layer agents call, not just the proxy.

  • Ship an MCP server and list it on Stork — biggest single point gain (+25).
  • Get listed in the Anthropic MCP registry, Cursor, or Claude Desktop (+20).
How this score is computed →See the full quadrantHow to defend

About reAPI

Business Model
Hybrid (Subscription + Usage)
Usage Pricing
$1 = 1,000 credits per credit
Free Credits
Credits never expire
Target Audience
Developers and businesses looking for AI model integration.

Pricing Plans

Pay-as-you-go
$1 / per-1,000 credits
  • • Credits never expire

Cost Examples

  • • Veo 3.1 API prices run from $0.40/sec on Google direct to $0.046 per 8-second clip on reAPI.
API Docs

Specs

API Docs

View Documentation →

API Available

Yes, public API

overview

What is reAPI?

reAPI is an AI API gateway tool developed by reAPI that enables developers, production teams, SaaS companies, and enterprises to integrate diverse AI models into applications via a single endpoint. It simplifies access to over 40 leading AI models for image, video, chat, music, and code generation with features like automatic failover and zero request logging. The platform, which had its initial release on May 11, 2026, and announced its public beta on May 29, 2026, provides a unified, OpenAI-compatible API endpoint, eliminating the need to manage multiple API keys and vendor-specific code paths. This infrastructure solution is designed to streamline the development and deployment of multimodal AI applications, ensuring high reliability and data privacy.

features

Key Features of reAPI

reAPI provides a robust set of features designed to simplify AI model integration and enhance application reliability. Its core functionality revolves around a unified API gateway that abstracts the complexity of interacting with numerous AI providers. The platform ensures high availability and data privacy, making it suitable for production environments requiring stringent operational standards.

  • Unified OpenAI-Compatible API: Developers can utilize existing OpenAI SDKs by changing the base URL to https://reapi.ai/v1, facilitating rapid integration with over 40 AI models.
  • Automatic Failover and High Uptime: Guarantees 99.96% uptime by automatically switching to alternative model providers if a primary service degrades, eliminating the need for developers to implement custom retry logic.
  • Zero Request Logging: Ensures user privacy and compliance by not persisting requests or responses on reAPI servers; only billing and audit metadata are retained.
  • Model Routing: Intelligently routes requests to optimal AI models based on performance, cost, or specific requirements.
  • Per-Key Spend Caps: Allows users to set daily spending limits per API key and team-level ceilings, providing granular control over AI expenditure.
  • Multimodal AI Support: Integrates models for image, video, chat, music, and code generation, enabling the creation of diverse AI applications.
  • Production-Ready Infrastructure: Includes features such as region pinning and multi-key failover for enterprise-grade deployments.

use cases

Who Should Use reAPI?

reAPI is primarily designed for technical users and organizations that require efficient, reliable, and privacy-compliant access to a broad spectrum of AI models. Its unified API and robust infrastructure features cater to various development and production needs, from rapid prototyping to large-scale enterprise deployments.

  • Developers integrating diverse AI models into applications, seeking to simplify API management and reduce development overhead.
  • Production Teams requiring high-uptime (99.96% guaranteed) and resilient AI infrastructure with automatic failover capabilities.
  • SaaS Companies building multimodal AI features (e.g., AI Video Generation, AI Image Generation, LLM and AI Chat, Music Generation, AI Coding) into their products.
  • Enterprise clients needing privacy-compliant AI access, benefiting from reAPI's zero request logging and configurable non-retention settings.
  • Teams engaged in multi-model experimentation and consolidated AI workloads, aiming to streamline development and deployment processes.

pricing

reAPI Pricing & Plans

reAPI operates on a freemium, credit-based pricing model, allowing users to pay only for the resources consumed. The platform offers a free trial, with paid options commencing from $10. Credits are priced at $0.001 USD per credit, and these credits do not expire. This usage-based structure is complemented by features for spend control, including per-key daily caps and team-level ceilings, enabling precise budget management. For example, an 8-second clip generated using Veo 3.1 via reAPI costs approximately $0.046, significantly lower than direct Google API pricing of $0.40 per second.

  • Pay-as-you-go: $0.001 USD per credit (1 credit = $0.001 USD).
  • Free trial available for initial evaluation.
  • Paid options start from $10.
  • Credits do not expire, providing flexibility for usage.
  • Per-key daily spend caps and team-level ceilings for cost management.

Similar Tools

reAPI vs Competitors

reAPI positions itself as a unified API gateway that simplifies access to a curated selection of leading AI models, emphasizing reliability, privacy, and ease of integration. It competes with several other platforms offering similar unified API solutions, each with distinct differentiators in model breadth, feature sets, and target optimizations.

1
OpenRouterOn StorkCompare

OpenRouter provides a unified API to access over 400 AI models from more than 60 providers, emphasizing intelligent routing for optimal performance and cost, and offering automatic fallbacks.

Similar to reAPI, OpenRouter offers a single API endpoint for diverse AI models and includes automatic failover. It distinguishes itself with a significantly larger model catalog and explicit features for cost optimization and vendor lock-in avoidance.

2
PortkeyOn StorkCompare

Portkey's AI Gateway offers a unified interface for over 1600 models, specifically designed to simplify the integration and operationalization of multimodal AI models with a consistent API signature, along with robust observability and governance features.

Portkey directly competes with reAPI through its strong focus on multi-modal model integration and a unified API that supports various model types (language, vision, audio, image). It also provides advanced features like guardrails, caching, and conditional routing for enterprise-grade AI deployments.

3
AIMLAPIOn StorkCompare

AIMLAPI offers a single API to access over 500 AI models across various modalities including Chat, Reasoning, Image, Video, Audio, Voice, and Search, with a focus on cost savings and no token limits.

AIMLAPI is a direct competitor to reAPI, providing a broad selection of multi-modal AI models through one API. Its unique selling points include a very large model count and claims of significant cost savings and the absence of token limits.

4
RunwareOn StorkCompare

Runware provides a unified inference API for generative AI, supporting a wide range of modalities including image, video, audio, 3D, and large language models, built on custom-designed hardware for low-latency and cost-efficient inference.

Runware is a very close alternative to reAPI, offering a unified API for multi-modal generative AI models and managed infrastructure. It differentiates itself with its proprietary 'Sonic Inference Engine' for optimized speed and cost, directly targeting developers for application integration.

See every reAPI alternative, compared→
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