EveryRow Classifier

Research, then categorize

A classifier researches each row on the web, then categorizes or filters by what it finds. Describe your criteria in plain English.

▶ 2-min demo video coming soon

Diagram showing S&P 500 screened to 63 companies with >75% recurring revenue and Taiwan tensions beneficiaries
0.1-0.7¢per row
>90%precisionvs 68% using regex, or 80% with LLM APIs
Screenshot showing S&P 500 companies filtered by thematic investment criteria

Thematic Stock Screening

Cheaply and quickly screen any stock index by any thesis, with research and judgment.

$3.29 for 502 companies • 0.6¢/row

Diagram showing job postings filtered for remote-friendly policies

Filter Candidates or Job Posts

Apply multiple qualitative criteria to every row, cheaply and accurately.

$4.24 for 3,616 rows • 0.1¢/row

Screenshot showing funds filtered by investment thesis, research tool budget, and team size

Multi-Criteria Lead Qualifying

Filter target firms by thesis match, budget, team size, and other hard-to-research properties.

$31.70 for 229 firms • 4¢/row/criteria

Give your AI a team of classifiers

Claude Code / AI Agents

claude plugin marketplace add futuresearch/everyrow-sdk
claude plugin install everyrow@futuresearch

Then ask:
"Screen stocks.csv for
 companies with founder
 still as CEO"

Python SDK

pip install everyrow

from everyrow.ops import screen
result = await screen(
  task=">75% recurring
    revenue, CHIPS Act
    beneficiaries",
  input=sp500
)

Pricing

Start with $20 in free credits. No credit card required. Costs scale with the research complexity needed to evaluate each row.

Case studyRowsCostPer row
Filter job postings by criteria3,616$4.240.1¢
Filter S&P 500 by thesis502$3.290.7¢
Find founder-led companies500$3.340.7¢

Why costs vary

everyrow.io/screen uses progressive intelligence, meaning it starts with simple judgments, and reserves expensive web research for the hardest cases. Some screens can be done with the information already available, bringing the cost down to as little as 0.1¢/row. If each row requires a full research budget, the cost can be as high as 5¢/row. You only pay for the intelligence each row needs. We measure accuracy on Deep Research Bench.

Resources

Spin up classifiers to research and categorize your data