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Build trading apps with real-time market data in seconds.

The modern platform for creating, sharing, and collaborating on AI prompts. Advanced version control and real-time testing.

Website, pricing, platforms and company facts side by side.
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| Website | realmarketapi.com | diffyn.com |
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| Company | Startup from Vietnam · 1 - 9 employees · 2026 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


Access real-time Gold, Forex, Crypto, and Stock market data with ultra-low latency. RealMarketAPI delivers sub-150ms market data through high-performance REST, WebSocket, MCP, and Telegram Bot integrations. Built for developers, trading platforms, fintech applications, prop firms, and analytics...
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What each product offers, as listed by its team.


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RealMarketAPI - Powered Your Apps
The Ultimate Prompt Tool for Creators – Visualize & Organize with Diffyn
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Real-time Market API and Diffyn.
Real-time Market API's answer
Multi-market coverage in one API — crypto, forex, commodities, and more, without juggling multiple providers Real-time + structured data — not just raw prices, but usable signals, patterns, and analytics Built for developers first — simple endpoints, fast responses, and clean documentation Signal-focused design — includes concepts like FVG, volume insights, and smart-money-style data Lightweight & scalable — designed to handle high-frequency requests without unnecessary complexity
Diffyn's answer:
Addresses workflow and change management on LLM prompts, provide teams with traceability and visualization of tests across multiple models, provide deeper understading into efficiency of these prompts.
Real-time Market API's answer
Most APIs give you data only — this gives you context + signals Faster to integrate compared to complex institutional APIs Covers multiple asset classes instead of locking you into one market Designed for builders, not just data consumers
Diffyn's answer:
Diffyn is the platform that specializes on both change management and multi-model analysis.
Real-time Market API's answer
Backend: High-performance server architecture (Node.js / Go-style async systems) Real-time layer: WebSockets for low-latency streaming Data processing: Stream processing pipelines for aggregation and signal generation Infrastructure: Cloud-based, scalable microservices Storage: Time-series optimized databases for fast historical queries Security & reliability: Rate limiting, caching, and fault-tolerant systems
Diffyn's answer:
React, Next.js, POSTGRESQL
Real-time Market API's answer
Developers building trading dashboards, bots, or analytics tools Indie hackers / SaaS builders who need market data without heavy infrastructure Quant and data-driven traders looking for structured signals Startups building fintech, trading tools, or alert systems Anyone who wants real-time market insights without building everything from scratch
Diffyn's answer:
Professionals incorporating LLMs or AI tools in their workflow and wants to keep track of changes and test their prompts.
Real-time Market API's answer
Real-time Market API started as a side project to solve a simple problem: getting reliable, real-time market data across different asset classes was messy, expensive, and fragmented.
Instead of stitching together multiple providers, the goal was to build a single, clean API that delivers not just data—but actionable insights.
Over time, it evolved from basic price feeds into a signal-driven platform, shaped by real needs from trading, monitoring, and automation use cases.
Diffyn's answer:
I started working on Diffyn when I notice that prompting has become an essential part of work across many industries. While there are version control platofrms like github, they are not designed for just prompt management are can be overkill such applications, it is also not integrated natively with various LLMs and relevant tools for users to validate ideas and visualise results properly.
Real-time Market API's answer
AI startups building financial agents and tools Fintech platforms and trading applications Algorithmic traders and bot developers Quantitative research teams SaaS founders integrating financial data into products
Share your experience with using Real-time Market API and Diffyn. For example, how are they different and which one is better?
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