
News API
Newscatcher News API
Newsdata.io
Perigon
World News API
NewsAI
Recent AI News
AI news API with event clustering: duplicate AI news coverage → one structured event.

Sentry.io
Rollbar
Production debugging for AI coding agents

Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | scoopkit.dev | debugbundle.com |
| Pricing | ||
| Company | Startup from the United States · 1 - 9 employees · 2026 | — |
| Listed in |
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...
DebugBundle captures production errors and packages the available evidence into agent-ready debug bundles. Each structured, versioned JSON artifact brings together the failure and captured request, log, runtime, and release context, so developers and coding agents can inspect what happened...
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Scoopkit.dev and DebugBundle.
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.
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.
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.
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.
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.
Share your experience with using Scoopkit.dev and DebugBundle. For example, how are they different and which one is better?
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