The Scenario
A board pipeline review is three days away. Your RevOps director has just messaged you: "I need a full list of every account in Specific — names, IDs, and all custom attributes — by EOD tomorrow. We need to know which accounts are missing industry and tier data before the call." You have 200 company records in Specific. You have never done a full company export before.
The bad version:
- You navigate to Specific's companies view and look for an export option. There isn't a straightforward bulk export with custom attributes — you can get a basic list, but custom attribute values are not included in the standard CSV.
- You try Specific's API documentation. The companies endpoint returns attributes, but you'd need to write a script to paginate through all records, parse the JSON, and flatten the attribute objects into columns. You are not a developer.
- You paste what you can get into a Google Sheet manually — 47 rows before you realize this approach will take longer than the board review itself.
You're being asked to audit data coverage, not build an API client. The director needs the file, not a project update.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It connects to Specific through the built-in integration, paginates through all your company records, flattens the custom attribute fields, and writes everything into the sheet — no script, no developer, no CSV gymnastics.
List all companies from Specific and write each company's name, ID, and all custom attributes into this Google Sheet — one row per company
What You Get
- All 200 company records written into the sheet, one per row.
- Company name and ID in the first two columns.
- Each custom attribute in its own column — industry, ARR tier, deal stage, or whatever custom fields your Specific account has defined.
- Rows where a custom attribute has no value left blank, making it immediately obvious which accounts are missing coverage.
What If the Data Is Not Quite Ready
You need to flag rows missing specific custom attributes
List all companies from Specific and write company_id (A), company_name (B), and all custom attribute values in subsequent columns — for any row where the 'industry' attribute is empty, write 'MISSING' in the industry column
You only need companies that have at least one custom attribute set
List all Specific companies and write company_id, company_name, and all custom attributes into this sheet — skip any row where all custom attribute values are empty, and flag rows with at least one missing attribute as 'INCOMPLETE' in the last column
You want to cross-reference against a list of expected accounts
List all companies from Specific and write company_id (A) and company_name (B) into this sheet, then for each company name, check whether it appears in column D of the 'Expected Accounts' tab — write 'FOUND' or 'MISSING' into column C
Full export-and-audit in one shot
List all Specific companies, write company_id (A), company_name (B), and all custom attribute values in subsequent columns — flag rows with no custom attributes as 'NO ATTRIBUTES' in the last column, and flag rows missing the 'industry' attribute specifically as 'NO INDUSTRY' in the second-to-last column
Run the audit and surface the gaps in one pass — ready to drop into the board prep deck.
Try It
Get the 7-day free trial of SheetXAI and open any Google Sheet you use for account tracking — then ask it to pull all Specific company records with their custom attributes and flag the gaps inline. See also how to export all contacts for a hygiene audit or bulk-import company records once you've fixed the missing fields.