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Scoopkit.dev

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

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 that coverage into one event at ingest time, using a two-threshold clustering pipeline (embedding similarity, an entity-overlap gate, and an LLM tie-break for borderline cases), then classifies each event into a fixed taxonomy: 10 categories and 57 subcategories built specifically for AI news, covering model releases, funding rounds, safety and policy, research publications, and more.

Why it exists

AI industry news is fragmented across dozens of outlets, and following it programmatically usually means 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 is the pipeline that would otherwise need to get built in-house: one API, real deduplication, a taxonomy scoped entirely to AI news.

Pricing

  • Free: $0, 100 requests/day, 45-day archive, usable in production from day one
  • Pro: $49/mo, 10,000 requests/day, structured fields, search, webhooks, 12-month archive
  • Enterprise: custom limits and archive, contact for pricing

Built with

Python, FastAPI, PostgreSQL with pgvector, Redis, and OpenRouter for classification, a free-model cascade falling back to Claude Haiku 4.5.

Built for developers and small teams building AI agents, dashboards, or alerting tools who need to track the AI industry without maintaining their own scraping and deduplication pipeline. Get a free API key (https://scoopkit.dev/start) to try it.

A startup from the United States.

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Scoopkit.dev

Scoopkit.dev Reviews and Details

This page is designed to help you find out whether Scoopkit.dev is good and if it is the right choice for you.

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  • Scoopkit.dev Scoopkit 'Start' page
    Scoopkit 'Start' page //
    2026-08-29
  • Scoopkit.dev Scoopkit 'Home' page
    Scoopkit 'Home' page //
    2026-08-29

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Questions & Answers

As answered by people managing Scoopkit.dev.

  1. Why should a person choose Scoopkit.dev over its competitors?

    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.

  2. What makes Scoopkit.dev unique?

    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.

  3. How would you describe the primary audience of Scoopkit.dev?

    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.

  4. What's the story behind Scoopkit.dev?

    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.

  5. Which are the primary technologies used for building Scoopkit.dev?

    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.

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Is Scoopkit.dev good? This is an informative page that will help you find out. Moreover, you can review and discuss Scoopkit.dev here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.

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