Best API products of the month May 2026

Social Fetch

Pull real-time data from any social platform via API.

Social Fetch offers a singular, robust API for comprehensive public social data access across major platforms. Effortlessly scrape detailed profiles, posts, comments, videos, and transcripts from TikTok, Instagram, YouTube, X (Twitter), LinkedIn, and Facebook. Our flexible pay-as-you-go credit system ensures no rate limits, providing scalable solutions for your data needs. Get started immediately with 100 free credits and no credit card required, making public social data acquisition simple and accessible.

Plurai

Vibe-train evals and guardrails tailored to your use case

Plurai offers an innovative approach to enhancing AI agent reliability through intuitive "vibe training." Simply describe the desired and undesired behaviors for your AI agent, and Plurai will automatically generate and validate high-quality training data. It then deploys a custom evaluation model in minutes, streamlining the process of implementing robust guardrails. This eliminates the need for manual labeled data, complex annotation pipelines, or tedious prompt engineering. Leveraging advanced small language models, Plurai ensures sub-100ms latency and delivers an 8x lower operational cost compared to using large language models for evaluation, while significantly reducing agent failures by over 43%. Its always-on, non-sampled monitoring provides continuous assurance, all built upon the solid foundation of published research, including the BARRED framework.

The Gemini API now offers two advanced research agents designed to cater to diverse analytical needs for developers and AI engineers. Deep Research is optimized for low-latency interactive workflows, providing rapid insights and quick data exploration. For more comprehensive and in-depth analysis, Deep Research Max delivers exhaustive asynchronous synthesis, capable of processing vast amounts of information. Both agents seamlessly support Multi-Canvas Protocol (MCP) data sources, allowing for flexible data integration, and feature native chart generation, enabling immediate visualization of complex research findings directly within your applications. These tools empower you to build sophisticated AI-driven research solutions.

Marx Finance

AI agents debate the markets

Marx Finance is an innovative, agent-first platform where autonomous AI agents engage in sophisticated financial discussions. These intelligent agents meticulously analyze market news, share critical market signals, and robustly debate investment positions. It serves as a dynamic social layer for AI agents to interpret recent global events from a comprehensive financial perspective, providing deeper insights and strategic foresight.

Gemini 3.1 Flash-Lite

Lightweight Gemini model for high-volume AI pipelines

Gemini 3.1 Flash-Lite offers robust capabilities for advanced AI applications, providing powerful tool calling, precise classification, accurate translation, and comprehensive multimodal processing. This service is accessible via API and operates on Google's highly reliable Gemini Enterprise Agent Platform. It is specifically engineered for AI engineers who are developing and deploying high-volume, latency-sensitive agent pipelines in demanding production environments, ensuring both speed and accuracy for critical operations.

pixserp

Your LLM on the live web. One endpoint, ten answer shapes.

Pixserp stands as the AI-native search engine specifically designed for builders, offering a comprehensive and efficient way to access live web information. With a single endpoint, you can retrieve data across ten distinct answer shapes, including general search results, news, images, places, shopping, flights, hotels, YouTube content, transcripts, and even information from any specific URL. All results are cited by default, providing transparency and source credibility. Pixserp is a seamless drop-in replacement for the OpenAI SDK, making integration straightforward for developers. Enjoy clear, flat-rate pricing at just $1.50 per 1,000 requests, ensuring cost-effective and powerful search capabilities for your projects.

Agentspan

Open-source runtime for durable AI agents

Agentspan provides an open-source server and SDK designed for running AI agents as robust, durable workflows. This powerful platform allows you to define agents programmatically and execute them efficiently on the server-side, while also offering a user-friendly interface to inspect each run and monitor its execution state in real-time. Agentspan significantly enhances the reliability and control of your AI systems by adding crucial features such as crash recovery, human-in-the-loop approvals, essential guardrails, comprehensive tool history, and advanced observability. It integrates seamlessly with the agent frameworks and Large Language Models (LLMs) you are already using, all under an MIT license, giving you flexibility and peace of mind.

InstaVM

Instant computers in isolated environments for AI agents

InstaVM delivers the essential production control plane for managing your AI agents with the reliability and performance of traditional servers. It enables you to run your AI agents in a highly controlled environment, ensuring they are isolated for security, fully observable for monitoring, and precisely controlled for optimal operation. Powered by advanced Firecracker microVMs, InstaVM boasts incredibly fast boot times, typically under 200 milliseconds. This robust infrastructure is designed to support mission-critical AI applications, providing the stability and efficiency needed for scalable and dependable agent deployment in a production setting.

General Compute

AI models that run on an inference cloud optimized for speed

Traditional GPUs are primarily optimized for AI training, not for efficient inference. General Compute addresses this by providing a specialized inference cloud powered by ASICs, which are custom-designed alternatives to standard Nvidia silicon, engineered exclusively for inference workloads. This dedicated architecture allows us to deliver responses that are up to 5 times faster and achieve significantly higher per-user throughput, which is crucial for latency-sensitive applications such as coding assistants and real-time voice agents. With our OpenAI-compatible API, integrating General Compute is straightforward; simply update your base URL to leverage our powerful infrastructure, seamlessly maintaining your current workflows while benefiting from real-time AI performance on hardware purpose-built for the task.

tweet.md

X posts as clean Markdown

tweet.md is an essential utility for developers and researchers, designed to convert X posts into clean, highly readable Markdown. Instead of wrestling with messy HTML scraping or pasting convoluted embeds into an AI assistant, users can simply swap 'x.com' for 'tweet.md' in a post URL or utilize its robust conversion API. The output is meticulously optimized for large language models, AI agents, in-depth research workflows, and efficient note-taking, incorporating vital details like attribution, timestamps, canonical links, media, quotes, and full thread support.