---
name: geepers-data-16b5b6e4f611
description: Fetch structured data from 17 authoritative APIs — arXiv, Census Bureau, GitHub, NASA, Wikipedia, PubMed, news, weather, finance, FEC, and more — through a single endpoint. Use when you need real data from authoritative sources for research, visualizations, or analysis.
---

# Dreamer Data

Access 17 structured data sources through `https://api.dr.eamer.dev`.

## Authentication

```bash
export DREAMER_API_KEY=your_key_here
```

## Endpoints

### List Available Sources
```
GET https://api.dr.eamer.dev/v1/data
```

### Search Across Sources
```
POST https://api.dr.eamer.dev/v1/data/search
Body:
{
  "source": "arxiv",
  "query": "machine learning interpretability",
  "limit": 10
}
```

### Available Sources
| Source | ID | What it provides |
|--------|-----|-----------------|
| arXiv | `arxiv` | Academic papers |
| Census Bureau | `census` | US demographic data |
| GitHub | `github` | Code repositories, issues, users |
| NASA | `nasa` | Space data, images, astronomy |
| Wikipedia | `wikipedia` | Encyclopedia articles |
| PubMed | `pubmed` | Biomedical literature |
| News | `news` | Current events from 80+ outlets |
| Weather | `weather` | Current and forecast weather |
| Finance | `finance` | Stock prices and market data |
| FEC | `fec` | Federal campaign finance |
| OpenLibrary | `openlibrary` | Books and library records |
| Semantic Scholar | `semantic_scholar` | Academic citation graphs |
| YouTube | `youtube` | Video metadata |
| Wolfram Alpha | `wolfram` | Computational knowledge |
| Wayback Machine | `archive` | Web archive snapshots |
| Judiciary | `judiciary` | US court records |
| MAL | `mal` | Anime and manga data |

## When to Use
- Research that needs verified, citable data
- Building data pipelines from authoritative sources
- Enriching existing datasets with external context

## Don't Use When
- The source you need isn't in the list (check `/v1/data` first)
- You have direct API access to the source with higher rate limits


---
Source attribution: InternLM
Original project: https://github.com/InternLM/WildClawBench
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Gabriel Moreira

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: InternLM
Original project: https://github.com/InternLM/WildClawBench
Attribution basis: Upstream repository explicitly recorded in package mirror path

Fields of work: Data & Analytics, Education & Research, Sales
Roles: Business Development, Data Analyst, Data Scientist, Market Research Analyst, Researcher
Specialties: API
Tools: Geepers Data
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 8493c295eec6901f7cf6fcfee20d27c954d5ad01e9eb1dd514fcf351c6b0cee5