Lo mejor de Model Serving (2026)

1

APIPASS API Marketplace

Unified marketplace for connecting to multiple APIs through a single integration point.

5.0 (5)

· free

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APIPASS API Marketplace is a platform that aggregates a wide range of APIs and exposes them through a unified interface. Instead of managing separate credentials, billing, and SDKs for each provider, developers can authenticate once and access many services from a single hub. The marketplace is aimed at teams building AI applications, automations, and integrations that need to consume external data or functionality without spending weeks on individual onboarding. By standardizing how APIs are discovered, called, and billed, APIPASS reduces the overhead of working with multiple vendors. It suits developers, startups, and product teams that want to prototype quickly, swap providers easily, or expand their integration surface without rebuilding connectors for every new service.

• Aggregated API catalog
• Unified API key and access management
• Centralized usage and billing
• Standardized request format
• Developer documentation and examples
• Support for multiple service categories

2

Fast360

Open-source arena for benchmarking OCR models on PDF-to-Markdown conversion

4.8 (5)

· free

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Fast360 is an open-source platform positioned as the first dedicated arena for comparing OCR models, with a particular focus on converting PDF documents into clean Markdown. It lets users pit different OCR engines against each other on the same source files and inspect how each handles layout, tables, formulas, and mixed content. The project is aimed at developers, researchers, and teams building document-processing pipelines who need an objective way to choose an OCR backend. By centering on Markdown output, Fast360 reflects modern use cases such as feeding parsed documents into LLMs, RAG systems, and knowledge bases. Because the codebase is open source, users can run evaluations locally, plug in new models, and adapt the arena to their own document types and quality metrics.

• OCR model comparison arena
• PDF-to-Markdown conversion pipeline
• Support for multiple OCR backends
• Side-by-side output evaluation
• Open-source and extensible codebase
• Designed for LLM and RAG ingestion

LlamaCloud is a hosted service from the team behind LlamaIndex that handles the heavy lifting of turning messy enterprise documents into clean, queryable data. It combines advanced parsing, extraction, and indexing so developers can plug high-quality context into LLM applications without managing the underlying pipeline. The platform is designed for complex source material like PDFs with tables, charts, and scanned content, where naive text extraction typically breaks. Teams can connect data sources, define schemas, and expose the processed knowledge to agents or search interfaces through APIs and SDKs. It targets engineering teams building production RAG systems, internal knowledge assistants, and document-heavy AI workflows who want managed infrastructure instead of custom ETL.

• LlamaParse for advanced PDF and document parsing
• Structured data extraction with custom schemas
• Managed vector indexing and retrieval APIs
• Connectors for common data sources and storage
• SDKs for Python and TypeScript
• Integration with LlamaIndex agents and workflows

Eidolon AI is a developer-focused platform for designing, building, and deploying AI agents tailored to business workflows. It provides a modular framework that lets teams compose agents from configurable components rather than writing custom orchestration code from scratch. The platform emphasizes flexibility and production readiness, with support for swapping LLMs, tools, and memory backends as requirements evolve. Agents can be deployed as services and integrated into existing applications, making it suitable for companies looking to move beyond prototypes into operational AI systems. With an open-source core and an enterprise offering, Eidolon AI targets developers and organizations that want control over their agent stack while still benefiting from prebuilt patterns, observability, and deployment tooling.

• Agent definition via configuration
• Pluggable LLM and tool integrations
• Multi-agent orchestration support
• Memory and state management
• Deployable as API services
• Open-source framework with enterprise options

E2B provides isolated cloud environments designed specifically for executing code produced by large language models and AI agents. Each sandbox spins up quickly, giving developers a safe, ephemeral runtime where untrusted or experimental code can run without risking the host system. The platform is aimed at teams building agentic applications, code interpreters, data analysis assistants, and developer tools that need to execute arbitrary code at scale. SDKs in Python and JavaScript make it straightforward to integrate sandboxes into existing AI workflows, while customizable templates let teams preconfigure dependencies and tooling. E2B is open source at its core, with managed cloud infrastructure available for production use, making it suitable for both prototyping and large-scale deployments.

• Isolated cloud sandbox environments
• SDKs for Python and JavaScript
• Custom environment templates
• File system and process access
• Long-running session support
• Designed for AI agents and code interpreters

6

FloppyData

High-speed residential and mobile proxies for web scraping and data collection

4.5 (4)

· free

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FloppyData is a proxy service provider focused on residential and mobile IP networks designed for large-scale web scraping, data gathering, and online anonymity tasks. The platform routes traffic through real user devices, helping requests appear as organic visitors and reducing the likelihood of being blocked by target sites. The service is aimed at developers, data teams, and businesses that need reliable IP rotation, geographic targeting, and consistent uptime when collecting public web data. Users can typically choose between rotating and sticky sessions, select locations, and integrate the proxies with existing scraping stacks or automation tools. With an emphasis on speed and pool size, FloppyData positions itself as an option for teams handling high request volumes across e-commerce monitoring, SEO research, ad verification, and market intelligence workflows.

• Residential proxy network
• Mobile proxy network
• IP rotation and sticky sessions
• Country and city-level targeting
• HTTP/HTTPS and SOCKS support
• Dashboard for managing usage

7

Groq

A company specializing in high-performance AI inference solutions, offering hardware and software platforms for rapid AI application deployment.

4.5 (4)

· free

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Groq is a Model Serving tool listed on Agent Pantheon.

LM Studio is a desktop application that lets users download, run, and chat with open-source large language models directly on their own computer. It supports a wide range of models from Hugging Face, including Llama, Mistral, Gemma, and Qwen variants, and works across Windows, macOS, and Linux. The app provides a built-in chat interface, model discovery tools, and a local server that mimics the OpenAI API, making it easy to integrate local models into existing applications and workflows. Because everything runs on-device, conversations and documents never leave the user's machine. LM Studio is free for personal use and aimed at developers, researchers, and privacy-conscious users who want to experiment with or deploy LLMs without relying on cloud services.

• In-app model browser and downloader
• Local chat interface for any installed model
• OpenAI-compatible local API server
• GPU acceleration and configurable inference settings
• Support for GGUF and MLX model formats
• Document chat with local retrieval