Prepare for client conversations with DoubleVerify reporting data in ChatGPT or Claude. Catchr MCP lets freelancers and agencies discover available fields, select the columns they need, and ask questions by request type.
Connect DoubleVerify, choose your AI destination, and start with a reporting question.
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DoubleVerify reporting fields depend on the request types available through your connection. Start by discovering those fields, then choose compatible dimensions and metrics for your client’s report.
Use Request Type Id and Request Type Name to identify the DoubleVerify request types returned in your reporting data. These dimensions help you keep different report selections clear when preparing a client summary.
Request types describe report data. They are not separate accounts.
Discover the dimensions and metrics available for each request type before building your analysis. Field availability and compatibility depend on the DoubleVerify token used for the connection.
Select the discovered columns that answer your question, whether you are preparing a report or investigating a client’s results.
A query covering multiple request types can include columns that apply to only some of them. A field that does not belong to a request type can appear empty in those rows.
Check field availability by request type before interpreting an empty value or comparing results. Keep unavailable values separate from reported zeros in client reporting.
Use focused analysis to investigate a DoubleVerify question, assemble a report for repeatable client reviews, or query connected data through Catchr MCP for a conversational follow-up. Each approach starts with the request types and fields available to your connection.
For a client review, define the DoubleVerify request types and columns you need in the report. Use Catchr MCP to explore follow-up questions with the same selections and make any field limitations clear.
Connect DoubleVerify in Catchr using your DV Pinnacle Report Data API bearer token. Then connect ChatGPT or Claude through Catchr MCP.
Start by discovering the request types and fields available through your connection. Select compatible columns and your reporting dates before asking for an analysis.
Use these prompts to discover reporting options, prepare a client summary, compare periods, or investigate empty values. Replace the bracketed selections with your connection, dates, and discovered fields.
Using Catchr, discover the available DoubleVerify request types and their dimensions and metrics for [connection]. Show Request Type Id and Request Type Name where available, explain which fields can be queried together, and ask me to select columns before retrieving a report for [start date] through [end date].
Copy promptUsing Catchr, query DoubleVerify for [connection] from [start date] through [end date] using [selected request types] and [user-selected discovered columns]. Check compatibility first, keep Request Type Id and Request Type Name visible, and prepare a concise client-call summary based on the returned values. Explain any unavailable columns.
Copy promptUsing Catchr, compare DoubleVerify results for [connection] and [request type] between [first start date] through [first end date] and [second start date] through [second end date]. Discover and validate [user-selected metric] and [user-selected dimensions] before querying. Keep the column selections consistent, compare equivalent results, and explain any limits that prevent a meaningful comparison.
Copy promptUsing Catchr, review DoubleVerify data for [connection], [selected request types], and [start date] through [end date] using [user-selected discovered columns]. Check each column against the fields available for each request type. Identify empty values caused by fields that do not apply, distinguish them from returned zeros, and list any remaining gaps whose cause cannot be established.
Copy promptRequest Type Id and Request Type Name identify the report’s request type. Other dimensions and metrics are discovered for your connection. Discover those fields first, then select compatible columns for your question.
You need a DV Pinnacle Report Data API bearer token to authorize DoubleVerify in Catchr. Connect your AI destination through Catchr MCP, then discover the request types and fields accessible with that token.
No. Request types are reporting dimensions. Use Request Type Id and Request Type Name to identify them within your results, including queries that cover multiple request types.
A column may apply to one request type but not another. Check the discovered fields for each request type before interpreting blanks. An unavailable field should not be treated as a reported zero.
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