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

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

TranscriptFetch's answer:

Most short-form video has no caption track to download. TikTok’s auto-captions are opt-in per upload, Instagram never publishes a downloadable track, and many captions on both are burned into the video frames where no parser can read them. TranscriptFetch transcribes the audio when no caption track exists, on the same endpoint, with the same response shape. Your code never branches on which method produced the text. It also covers YouTube, TikTok, Instagram, X and Facebook plus any web page as clean Markdown, so a pipeline spanning several sources is one integration rather than five.

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

TranscriptFetch's answer:

Three reasons. Coverage: one API key and one response shape across five video platforms and the open web, instead of stitching together a library per platform. Reliability: requests run through rotating infrastructure, so code that works locally keeps working from a server, which is where most open-source approaches break. Billing that matches reality: one credit per successful response, with failed, blocked and empty results never charged. That last point matters on short-form video, where a meaningful share of any batch is music with no speech in it. There is also an MCP server, so AI agents can fetch transcripts as a tool without a custom integration.

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

TranscriptFetch's answer:

Developers and technical teams building on video and web content. The common cases are RAG and retrieval pipelines that need video as text, AI agents that need to read a link mid-conversation, content teams repurposing short-form video at scale, and media monitoring and research tools. It is an API first, so the buyer is usually the person writing the integration rather than an end user. The free browser tools exist for one-off transcripts and for evaluating output quality before writing any code.

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.

TranscriptFetch's answer:

It started with discovering there is no good way to get the text of a video. YouTube’s official Data API will confirm a caption track exists and then refuse to hand it over, because captions.download requires the video owner’s OAuth token. The popular open-source libraries work until you deploy them, at which point platforms start refusing datacenter IPs. And YouTube is the easy case: TikTok and Instagram publish no caption file at all. Every workaround solved one platform, worked locally, and broke in production. TranscriptFetch is the version that handles the failure cases as first-class behaviour rather than edge cases.

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

TranscriptFetch's answer:

Next.js with TypeScript and Tailwind on the front end and API layer, Clerk for auth with SHA-256 hashed API keys, Neon Postgres with Drizzle ORM, Redis for caching, and Stripe for billing. The extraction layer is a Python and FastAPI service. Speech-to-text uses Whisper-class models. The MCP server is published in the official Model Context Protocol registry with a DNS-verified namespace.