Why this fit
Teams evaluating AI models, assistants and generative workflows, particularly document processing and developers integrating through an API โ a free tier with paid upgrades, source available on GitHub.
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AI / Catalogue record

Catalogue record
github.com
๐ โ๏ธ - Web intelligence API for AI agents โ screenshot capture, PDF generation, page metadata extraction, and 75+ specialized data extractor...
Field notes
๐ โ๏ธ - Web intelligence API for AI agents โ screenshot capture, PDF generation, page metadata extraction, and 75+ specialized data extractors for news, social media, SERP, pricing, and more. Free tier included.
Best for
Teams evaluating AI models, assistants and generative workflows, particularly document processing and developers integrating through an API โ a free tier with paid upgrades, source available on GitHub.
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
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Evidence summary
Why this fit
Teams evaluating AI models, assistants and generative workflows, particularly document processing and developers integrating through an API โ a free tier with paid upgrades, source available on GitHub.
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
Catalogue confidence
Catalogue data checked Oct 27, 2026.
GitHub-backed record with source-attributed context.
Repository context
GitHub / junipr-labs/mcp-server
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Record provenance
Oryxen distinguishes catalogue metadata from repository context. These signals describe the directory record and its sources; they do not guarantee the current availability, security, or suitability of an external product.
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