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World News API
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AI news API with event clustering: duplicate AI news coverage → one structured event.

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 | scoopkit.dev | diffyn.com |
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| Company | Startup from the United States · 1 - 9 employees · 2026 | — |
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In their own words, as submitted to SaaSHub.


Scoopkit Scoopkit is a REST API that turns scattered AI industry news into structured, deduplicated events. Most news APIs are horizontal: they cover every industry and return raw articles, so the same AI announcement can show up as 3 or 4 separate results from different outlets. Scoopkit merges...
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As answered by people managing Scoopkit.dev and Diffyn.
Scoopkit.dev's answer
Scoopkit is a news API built only for the AI industry. Instead of returning raw articles, it merges duplicate coverage of the same story into one structured event, then classifies it into a fixed taxonomy of 10 categories and 57 subcategories. Most news APIs are horizontal and leave deduplication to you. Scoopkit does that work at ingest, scoped entirely to AI news.
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.
Scoopkit.dev's answer
Most alternatives are general-purpose news APIs that happen to cover AI as one topic among many, with free tiers that are either token-limited, request-capped under a few hundred a month, or explicitly restricted from production use. Scoopkit's free tier is 100 requests a day, recurring, and usable in production from day one. Paid pricing is a flat $49/mo for 10,000 requests a day, not a credit or token system to track.
Diffyn's answer:
Diffyn is the platform that specializes on both change management and multi-model analysis.
Scoopkit.dev's answer
Python 3.12, FastAPI, PostgreSQL with pgvector for embeddings, Redis, SQLAlchemy 2 (async), Voyage AI for embeddings, OpenRouter for classification (a free-model cascade falling back to Claude Haiku 4.5), hosted on Railway with the marketing site on Vercel.
Diffyn's answer:
React, Next.js, POSTGRESQL
Scoopkit.dev's answer
Developers and small teams building AI agents, dashboards, or alerting tools that need to track the AI industry itself: model releases, funding rounds, safety and policy news, research publications. Anyone who'd otherwise be stitching together RSS feeds and Google Alerts to follow AI news programmatically.
Diffyn's answer:
Professionals incorporating LLMs or AI tools in their workflow and wants to keep track of changes and test their prompts.
Scoopkit.dev's answer
AI industry news is scattered across dozens of outlets, and the same announcement gets covered by 5 different sites within hours. Following it programmatically meant either paying for a broad, expensive news API and building deduplication yourself, or hand-rolling RSS feeds that break constantly (Anthropic, for one, ships no official RSS feed at all). Scoopkit exists to be the version of that pipeline already built: one API, real deduplication, a taxonomy built specifically for AI news.
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.
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