Usage limits

As the Google Vault API is a shared service, we apply quotas and limitations to make sure it's used fairly by all users and to protect the overall health of the Google Workspace system.

Product limits

You can have no more than 20 exports in progress across your organization.

API request quotas

Each organization is allowed 600 matter reads per minute, across all projects and users, including requests through the Vault API and

The following tables list the per-minute per-project request limits:

Read requests per minute per project
Export, matter, and saved query 120
Hold 228
Long-running operation 300
Write requests per minute per project
Export 20
Hold 60
Matter permissions 30
Matter 60
Saved query 45
Search (count) requests per minute per project
Search counts 20

Quota usage by method

The quota used by a request depends on the method called. The following table lists the per-method quota usage:

Method Quota costs
1 matter read
1 matter write
matters.count 1 count
matters.get 1 matter read
matters.list 10 matter reads
1 matter read
1 matter write
1 matter permissions write
matters.exports.create 1 export read
10 export writes
matters.exports.delete 1 export write
matters.exports.get 1 export read
matters.exports.list 5 export reads
1 matter read
1 matter write
1 hold read
1 hold write
matters.holds.list 1 matter read
3 hold reads
1 matter read
1 matter write
1 hold read
1 hold write
1 matter read
1 matter write
1 saved query read
1 saved query write
matters.savedQueries.get 1 matter read
1 saved query read
matters.savedQueries.list 1 matter read
3 saved query reads
operations.get 1 long-running operation read

Resolve time-based quota errors

If you exceed a per-minute or per-organization quota, you usually get a 429: Too many requests HTTP status code response.

For all time-based errors (maximum of N requests per X minutes), we recommend your code catches the exception and uses a truncated exponential backoff to make sure your devices don't generate excessive load.

Exponential backoff is a standard error handling strategy for network applications. An exponential backoff algorithm retries requests using exponentially increasing wait times between requests, up to a maximum backoff time. If requests are still unsuccessful, it's important that the delays between requests increase over time until the request is successful.

Example algorithm

An exponential backoff algorithm retries requests exponentially, increasing the wait time between retries up to a maximum backoff time. For example:

  1. Make a request to Google Vault API.
  2. If the request fails, wait 1 + random_number_milliseconds and retry the request.
  3. If the request fails, wait 2 + random_number_milliseconds and retry the request.
  4. If the request fails, wait 4 + random_number_milliseconds and retry the request.
  5. And so on, up to a maximum_backoff time.
  6. Continue waiting and retrying up to some maximum number of retries, but don't increase the wait period between retries.


  • The wait time is min(((2^n)+random_number_milliseconds), maximum_backoff), with n incremented by 1 for each iteration (request).
  • random_number_milliseconds is a random number of milliseconds less than or equal to 1,000. This helps to avoid cases in which many clients are synchronized by some situation and all retry at once, sending requests in synchronized waves. The value of random_number_milliseconds is recalculated after each retry request.
  • maximum_backoff is typically 32 or 64 seconds. The appropriate value depends on the use case.

The client can continue retrying after it has reached the maximum_backoff time. Retries after this point don't need to continue increasing backoff time. For example, if a client uses a maximum_backoff time of 64 seconds, then after reaching this value, the client can retry every 64 seconds. At some point, clients should be prevented from retrying indefinitely.

The wait time between retries and the number of retries depend on your use case and network conditions.

Request a quota increase

Depending on your project's resource usage, you might want to request a quota increase. API calls by a service account are considered to be using a single account. Applying for an increased quota doesn't guarantee approval. Large quota increases can take longer to be approved.

Not all projects have the same quotas. As you increasingly use Google Cloud over time, your quotas might need to increase. If you expect a notable upcoming increase in usage, you can proactively request quota adjustments from the Quotas page in the Google Cloud console.

To learn more, see the following resources:


All use of Google Vault API is available at no additional cost to Google Workspace customers.