Code Plagiarism & Similarity API
Integrate your existing software with Codequiry's source code plagiarism checker.
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8. Overview of Results
Now that the check has completed! We can move on to the funner part, getting and interpreting the results. This request is a very simple overview of submissions and the peer comparisons (there is no database or web results in the overview).
Endpoint for results overview
Getting an overview of results
Get the submissions and their highest similarity score, as well as all the comparisons made to other submissions. Bardata will return the highest score that was matched for the submission. Note that the results overview only displays data from peer check results. These are the similarity results for local comparisons to the submissions uploaded in your check.
Note that you may also call the endpoint .../check/overviewCSV to retrieve a CSV format
When sending the request, we will need to send the check_id:
curl -X POST \
'https://codequiry.com/api/v1/check/overview?check_id=YOUR_CHECK_ID' \
-H 'apikey: YOUR_API_KEY_HERE '
Sample Response (JSON Array)
{
"overviewURL": "https://dashboard.codequiry.com/course/10970/assignment/2821/overview",
"submissions": [
{
"id": 14587,
"filename": "MiniFactorial-T3-ForWhile",
"status_id": 4,
"created_at": "2019-05-31 15:55:23",
"updated_at": "2019-05-31 16:39:43",
"result1": "0.00",
"result2": "0.00",
"result3": "0.00",
"total_result": "48.65",
"submissionresults": [
{
"id": 463587,
"submission_id": 14587,
"submission_id_compared": 14588,
"score": "0.00",
"created_at": null,
"updated_at": null
},
{
"id": 463588,
"submission_id": 14587,
"submission_id_compared": 14589,
"score": "48.65",
"created_at": null,
"updated_at": null
}
]
},
{
"id": 14588,
"filename": "MiniFactorial-T3-JumpLabel",
"status_id": 4,
"created_at": "2019-05-31 15:55:23",
"updated_at": "2019-05-31 16:39:43",
"result1": "0.00",
"result2": "0.00",
"result3": "0.00",
"total_result": "0.00",
"submissionresults": [
{
"id": 463589,
"submission_id": 14588,
"submission_id_compared": 14589,
"score": "0.00",
"created_at": null,
"updated_at": null
}
]
},
{
"id": 14589,
"filename": "MiniFactorial-T3-VariableBigInt",
"status_id": 4,
"created_at": "2019-05-31 15:55:23",
"updated_at": "2019-05-31 16:39:43",
"result1": "0.00",
"result2": "0.00",
"result3": "0.00",
"total_result": "48.65",
"submissionresults": []
}
],
"bardata": [
{
"submission": "MiniFactorial-T3-ForWhile",
"score": "48.65"
},
{
"submission": "MiniFactorial-T3-VariableBigInt",
"score": "48.65"
}
]
}
Note that if the total_result field is -0.1, this means that there was an "Error parsing files" for the submission. This could mean many things, maybe the zip file was corrupted, no files were parsed for the programming language selected, or the encoding of the files were incompatible.
Error Format Response (422 error)
{
"error": "The check has not been completed."
}
What's next
For optimal understanding of API usage, we recommend following this guide.
Our Mission
Codequiry aims to achieve an equally fair environment for fields relating to computer science by preventing the use of unoriginal code. The first step to preserving academic integrity and original source code starts here.

Resources
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- Codequiry Code Checking API
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- How to detect plagiarism in source code
- How a Code Plagiarism Detector Helps the IT Industry?
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