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managed data service

AI Training Datasets, Delivered

Request web datasets for AI research, evaluation, and retrieval. Explore existing data or discuss collection from additional sources.

  • Web datasets collected from supported sources
  • Inspect available fields and sample rows in the dashboard
  • Export collected data as JSON or CSV
  • Query datasets through the API or MCP server
Review Dataset Samples
Dataset Samples
API and MCP
Images
Example modality
Text
Example modality
Audio
Example modality

Illustrative example, not live data or a coverage metric.

why ai datasets

Your AI Training Data Advantage

AI models are only as good as their training data. Manual dataset curation takes months, annotation quality varies wildly, and data licensing is a legal minefield.

Start with collected rows and inspect whether they fit your model or retrieval workflow.

Request web datasets for AI research, evaluation, and retrieval. Explore existing data or discuss collection from additional sources.

Inspect sample rows and source coverage before using collected web data in your AI workflow.

Data
Browse Collected Rows
API
Programmatic Access
Files
JSON and CSV

how it works

From Search to Training — in Minutes

Choose sources, review a sample, and export data for your own AI pipeline.

01

Choose Your Sources

Describe the websites and fields you need, or start with an existing dataset in the catalog.

02

Review Collected Data

Inspect available rows and source coverage. Run supported scrapers when you need a refresh, or request discovery for a new source.

03

Use the Dataset

Export collected data as JSON or CSV, or query it through the API and MCP server for your own workflow.

Start
Minutes to model training
Data Ready

dataset library

Every AI Modality. One Platform

Explore collected web data for text analysis, evaluation, and retrieval workflows.

Product and Image Research

Discuss image URLs and related product fields available from supported sources for your own research pipeline.

Text Datasets

Use collected reviews, articles, and posts to build text analysis and retrieval workflows.

Additional Data Requests

Tell us which sources and fields you need so we can assess whether extraction is supported.

Multimodal AI

Cross-modal learning, image captioning, visual question answering, and audio-visual fusion. Aligned datasets for building sophisticated multimodal models.

Evaluation Data

Request collected web data for building evaluation sets in your own AI workflow.

Custom Data Requests

Describe your target sources and fields so we can assess collection options for your use case.

Need a specific dataset type? Our team can source or create custom datasets for your requirements.

Request Custom Dataset →

custom ai datasets

Request Any Dataset for Your AI

Describe the training data, evaluation set, or RAG corpus you need and name the websites it should come from. We can check existing datasets and assess collection options for sources that are not yet covered.

What happens after you ask

  1. Already in our catalog

    We send a sample from the rows we already hold, so you can check fields and quality against your own evals before buying.

  2. Covered but stale

    We re-run the scraper behind it and deliver fresh records, then keep it on the refresh schedule you picked.

  3. Not covered yet

    Our discovery pipeline finds the JSON API the site itself uses and builds a dedicated collector, so the dataset comes from exactly the sources you named.

Datasets teams ask us for

  • Customer reviews with star ratings from Amazon, Trustpilot and G2 for sentiment fine-tuning
  • Job postings from LinkedIn and Indeed with salary, skills and seniority, refreshed weekly
  • Product pages from European fashion retailers with prices, sizes and images for a shopping agent
  • Reddit and Hacker News threads about developer tools, cleaned to Markdown for RAG
  • Real estate listings with price history across the US and UK for a valuation model
What is it for?
How often should it refresh?

Free sample from your exact sources before you pay anything.

quality & technology

Built for Production AI Models

Review sample rows and available fields before using a dataset in your AI pipeline. Suitability depends on your model and intended use.

Inspect Dataset Samples

Review collected rows, missing fields, and coverage before using a dataset in your AI workflow.

Discuss Source Requirements

Tell us your target websites and intended use. Review source terms and applicable rights before using the data.

Collection History

Inspect scraper execution results and collection dates. Refresh supported sources when your workflow needs new data.

Runs
Track Extraction Progress
Data
Browse Collected Rows
API
Programmatic Access
Files
JSON and CSV

compliance & delivery

Web Data for Your AI Workflow

Review the source and intended use of each dataset. Discuss your security and data handling requirements with us before integrating.

Scoped API keys

Control programmatic access with API key scopes.

Authenticated dashboard

Sign in to browse datasets and manage extraction runs.

Run tracking

Inspect execution status, progress, and collected rows.

Dataset exports

Download collected data as JSON or CSV.

Custom Dataset Creation

Send us the sources and fields you need for a custom dataset. We can assess whether collection is supported.

Discuss Collection Requirements

Request web datasets for AI research, evaluation, and retrieval. Explore existing data or discuss collection from additional sources.

Dataset Exports

Download collected rows as JSON or CSV for use in your own systems. Discuss other delivery requirements with us.

questions

Frequently Asked Questions

Everything you need to know before you send us your first request.

Which sources and fields are available?
Request web datasets for AI research, evaluation, and retrieval. Explore existing data or discuss collection from additional sources. Check the dataset catalog or contact us about a specific source.
How fresh is the data?
Freshness depends on the source and scraper schedule. Review the latest execution before relying on a dataset for time-sensitive decisions. Extraction duration varies by source and volume.
How can I access the data?
Browse rows in the dashboard, export datasets as JSON or CSV, or query them through the API and MCP server. Discuss other delivery requirements with us before integrating.
Can I request a source that is not covered?
Yes. Send us the website and fields you need. We can assess whether the discovery pipeline can extract them; coverage is confirmed after validation.
What should I review before using a dataset?
Review a sample for coverage, missing fields, and suitability for your use case. Discuss security and data handling requirements with us, and review source terms and applicable rights before using or redistributing the data.
How do I discuss pricing?
Contact us with your sources, required fields, and expected volume to discuss pricing and collection requirements.

Still have questions?

Talk to an engineer

Start Building Better AI Models Today

Tell us which websites and fields your AI workflow needs. Review sample rows before choosing a dataset.

Scoped API Access
Discuss Data Requirements
Run Tracking

✓ Inspect available sample rows

✓ Discuss your collection requirements with the team

✓ Discuss pricing and intended use with the team

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