---
name: company-data-normalization
description: >-
  Normalizes company names, industries, domains, locations, and
  descriptions. Use when the user provides company records and wants
  consistent canonical fields with confidence and unresolved items
  flagged.
license: MIT
metadata:
  author: ProfileSpider
  version: "1.0"
  category: data-cleanup
  source: https://profilespider.com/resources/company-data-normalization
---

# Company Data Normalization

## Purpose

Normalize company names, domains, industries, and locations into consistent values.

## When to use this skill

- Standardizing company fields before a join or merge
- Cleaning a multi-source company list
- Preparing data for segmentation or analysis
- Resolving inconsistent industry labels

## When not to use this skill

- You need to detect duplicates (use Duplicate Record Review)
- The records contain no company identifiers
- You need verified, authoritative registry data

## Required inputs

- Company records

## Optional inputs

- A canonical industry taxonomy
- A location format standard
- Known aliases to map

## Rules

1. Produce canonical values; do not invent unknown fields.
2. Map industries only to the supplied taxonomy when given.
3. Report a confidence level per record.
4. List unresolved fields explicitly.
5. Preserve originals alongside normalized values.

## Process

1. Parse each company record.
2. Normalize name and domain.
3. Map industry and standardize location.
4. Assign confidence.
5. List unresolved fields.

## Output format

Return one record per company with the following fields:

- normalized_company_name
- normalized_domain
- standardized_industry
- standardized_location
- normalization_confidence
- unresolved_fields

## Validation

- Confirm domains are root domains without protocol.
- Confirm industries match the taxonomy when provided.
- Confirm low-confidence rows are flagged.

## Limitations

- Normalization is heuristic without an authoritative registry.
- Ambiguous names may need manual disambiguation.

## Source and license

Source: https://github.com/spiralcrew-ou/profilespider-agent-skills/blob/6c65d0507687364704a180476613b72467028e87/company-data-normalization/SKILL.md

MIT License

Copyright (c) 2026 SpiralCrew

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.