FutureSearch Matcher

Find duplicate rows

A matcher identifies which rows refer to the same entity, catching abbreviations and name variations that string matching misses.

Try Dedupe freeGive to your AI
Diagram showing 500 CRM records deduplicated to 124 unique entities: AbbVie Inc variants merged, ASML variants merged
0.1–0.35¢per row
98% accuracyvs 82% fuzzy matching
Screenshot showing CRM records with duplicate company entries identified

Clean Company Datasets

Easily find duplicate vendors, customers, or investments when names change.

$1.67 for 500 rows • 76% duplicates

Screenshot showing researcher names with career changes matched as same person

CRM Deduplication

Match people who changed jobs, emails, or names, where no row exactly matches.

$0.42 for 200 rows • 98% accuracy

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Clean Datasets

Dedupe ML Training Data

Remove semantic duplicates, even when not similar by fuzzy strings or embeddings.

$4.21 for 3,000 rows • 5.3 min

Give your AI a team of matchers

Claude Code

claude mcp add futuresearch --scope project --transport http https://mcp.futuresearch.ai/mcp

Then ask Claude to dedupe your data.

Python SDK

pip install futuresearch

from futuresearch.ops import dedupe
result = await dedupe(
  input=crm_data,
  equivalence_relation=
    "Same legal entity"
)

Pricing

Start with $20 in free credits. No credit card required. Costs scale with the number of rows—deduplication compares every row pair intelligently.

RowsTimeCost
200~90 sec~$0.40
500~2 min~$1.67
2,000~8 min~$7

10 minute workflow: import, dedupe, export

The dedupe tool will not only clean your data, it will also identify which rows were duplicates, and show you which one is canonical and has the right other fields.

Resources

Case Studies

SDK Docs

Case Studies

Start deduplicating your data

Start with $20 free credit. No credit card required.

Try Dedupe freeSee pricing