---
title: A knowledge base for autonomous research
description: >-
  Open knowledge base on autonomous research methodology: the data, tools,
  and protocols behind autonomous, adversarially-verified research.
---

A public, machine-readable knowledge base from the
[Institute for Automated Research](https://instituteforautomatedresearch.org).

It documents the practical substrate of autonomous research: the datasets a
pipeline can actually reach, the distilled findings of the literature it
builds on, and honest, recorded provenance for all of it. Every
page is plain Markdown in
[a public Git repository](https://github.com/institute-for-automated-research/website),
served as both human pages and raw `.md`, and explicitly open to LLM crawlers.

## Start here

- **[Distilled literature](/wiki/papers/)**: papers reduced to their core
  results, datasets used, and theory tested, with source locators and honest
  provenance; read the full paper to replicate or extend it.
  Openly-licensed sources are also mirrored, machine-accessible, in the
  [Open Library](/library).
- **[Openly available datasets](/wiki/datasets/)**: free, downloadable data
  sources for finance and economics research, with working access recipes and
  gotchas, distilled from what the ZeroPaper pipeline actually runs.
- **[Commercial datasets](/wiki/commercial/)**: the paywalled core
  (WRDS/CRSP/Compustat) and the vendor feeds you can buy, plus what the open
  sources can and cannot substitute.
- **[Confidential datasets](/wiki/confidential/)**: supervisory and
  administrative microdata that is not purchasable at all, documented with its
  access conditions and gotchas.
- **[Browse by tag](/wiki/tags/)**: every page cross-indexed by topic,
  method, access, data shape, source, and status.

## Contributing

Found an error or want a topic covered? Use the **Edit** link on any page, open
an issue, or email `contact@instituteforautomatedresearch.org`. Content is
reviewed before publishing; provenance and accuracy are the point.