Using my custom API tool, POST requests usually succeed but sometimes trigger validation errors:
{
"result": "fail",
"err_code": "E100",
"detail": "Invalid parent parameter provided"
}
How can I access logs for these requests?
Based on my experience with similar Notion API issues, the intermittent E100 errors can sometimes be traced back to discrepancies in how the parent parameter is being constructed in your requests. I found that carefully comparing working versus failing request payloads helped to pinpoint subtle differences. In my case, a caching layer in the API tool occasionally disrupted the formatting, which required explicit log inspection of every POST. I eventually resolved the issue by adding detailed logging and validation prior to sending requests to ensure that the format was consistent every time.
In my experience dealing with similar Notion API issues, the key device was ensuring that the parent parameter consistently adheres to the expected format. I encountered similar intermittent E100 errors while experimenting with API requests involving multi-column configurations. Detailed logging to capture the exact structure of the payload helped identify subtle mismatches, especially when the application dynamically constructed the request. Reviewing the format alongside Notion’s API documentation allowed me to implement additional sanity checks. Eventually, applying this method consistently resolved the error and improved the overall reliability of the API calls.
i had a similar issue. try disabling any caching that might be altering your parent param, cause even small dynamic changes can mess things up. more finer debug logging at call time helped me sort it out.
I encountered a similar issue a while back and managed to solve it by digging deeper into the API’s response handling. In my case, the intermittent error happened because the dynamic generation of the parent parameter occasionally introduced minor structural inconsistencies. What worked for me was to set up enhanced logging at the application layer that captured the complete request payload right before sending it out. This made it possible to compare each instance side by side and notice even tiny deviations. Implementing stricter input validation on the parameters reduced errors significantly and provided better insight into the root cause.