everyrow.io/research

Add new columns with web research

Enrich any dataset by researching every row. LLM agents visit websites, extract data, and return structured results as new columns. $20 free to start.

▶ 2-min demo video coming soon

Diagram showing a company column enriched with annual pricing data: Figma $144, Notion $96, Linear $120, Airtable $60
1–3¢per row
💰

company → annual_price, tier_name

Enrich SaaS Pricing

Research pricing pages for hundreds of products. Extract tier names, annual prices, and feature lists as structured columns.

$6.68 • 99.6% success • 246 products

🏷️

job_title → category, seniority

Classify Job Postings

Add category, seniority level, and confidence columns to job listings using LLM classification.

$1.74 • 100% success • 200 postings

📦

package → days_since_release, contributors

Research Package Metadata

Look up days since last release, contributor counts, and other metrics for PyPI packages from the web.

$3.90 • 1.3¢/row • 300 packages

Quick start

Web App

  1. Go to everyrow.io/research
  2. Upload a CSV with entities to research
  3. Describe what data to add as new columns
  4. Download enriched results

Python SDK

pip install everyrow

from everyrow.ops import agent_map
result = await agent_map(
  task="Find the annual price
    of the lowest paid tier",
  input=products_df,
  response_model=PricingInfo
)

Claude Code / AI Agents

/install-skill futuresearch/everyrow-sdk

Then ask:
"Research products.csv and add
 a column for annual pricing
 of each SaaS product"

Pricing

Start with $20 in free credits. No credit card required. Pay only for what you use—costs scale with research complexity.

TaskRowsCost/rowSuccess
SaaS pricing lookup2462.7¢99.6%
Job classification2000.9¢100%
Package metadata3001.3¢—

Why costs vary

Every row gets its own web research agent. Agents have degrees of freedom—they spend more tokens doing more research for harder tasks. Simple lookups finish quickly; complex research requires multiple page visits and reasoning steps.

Resources

Add new columns to your data with LLM Research Agents