Archive.org
namearchiveorg skuGENE-ARCHIVEORG userAdrianus Warmenhoven version1.0.0

Archive.org

Allow your AI to access archive.org with ease!

Search Internet Archive items and fetch metadata and downloadable file URLs.

500 credits
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SKU: GENE-ARCHIVEORG
Created: 2025-12-23 17:38:13.77139 +0000 UTC

Archive.org Access Gene

Bring the Internet Archive directly into your AI workflows. The Archive.org Access Gene for Feluda.ai gives your agents safe, read-only access to one of the world’s largest public digital libraries—millions of books, audio recordings, videos, software titles, and historical documents.

What this Gene unlocks

  • Item metadata lookup – Instantly retrieve titles, creators, dates, descriptions, and file lists by Archive.org identifier.
  • Powerful catalog search – Run advanced, Lucene-style searches with field selection, sorting, and pagination.
  • Large-scale discovery – Use cursor-based search scraping to iterate through very large result sets.
  • Full-text book search – Search inside scanned books via the Archive Lab full-text API.

Designed for production AI

  • Read-only & safe – No logins, no writes, no destructive actions.
  • Memory-aware – Responses are automatically bounded and truncated to prevent overload.
  • Cacheable & idempotent – Ideal for repeat queries and deterministic workflows.
  • Open-world access – Works across the full public Internet Archive corpus.

Typical use cases

  • Research assistants and knowledge agents
  • Digital humanities and archival analysis
  • Educational and reference chatbots
  • Historical data enrichment pipelines
  • Book, media, and public-domain discovery tools

What you get

Each tool call returns a clean JSON envelope with request details, HTTP status, and response content—making it easy for your agents to reason, cite, and follow up with additional queries.

Limitations

  • Public data only; restricted Archive.org items may return partial results.
  • Respectful request pacing is required to comply with upstream services.

Perfect for: teams building research-driven AI on Feluda.ai who want trusted access to cultural, scientific, and historical archives—without the complexity of custom integrations.