MikroAPI, ERP sistemleri ile entegre çalışabilen kapsamlı bir API çözümüdür. Bu doküman, tüm endpoint'lerin kullanımını detaylı, açık ve net ifadelerle anlatmaktadır. ERP geliştiricileri bu dokümanı kullanarak herhangi bir ek destek ihtiyacı olmaksızın hızlı ve kolay şekilde entegrasyonlarını tamamlayabilirler.
https://apidocs.mikro.com.tr/_mock/apis/
https://localhost:8084/
POST ImageDataGetirV2 endpoint'i, ERP sisteminizde Image Data ile ilgili işlemler yapmak için kullanılır. Bu API endpoint'i üzerinden veri göndererek ilgili işlemleri hızlı, güvenli ve etkin şekilde gerçekleştirebilirsiniz. Entegrasyon sırasında gönderilecek verilerin formatı ve içerik doğruluğuna dikkat edilmesi gerekmektedir.
https://apidocs.mikro.com.tr/_mock/apis/API/APIMethods/ImageDataGetirV2
https://localhost:8084/API/APIMethods/ImageDataGetirV2
curl -i -X POST \
https://apidocs.mikro.com.tr/_mock/apis/API/APIMethods/ImageDataGetirV2 \
-H 'Content-Type: application/json' \
-d '{
"Mikro": {
"FirmaKodu": "MIKROFLY",
"CalismaYili": "2023",
"KullaniciKodu": "SRV",
"Sifre": "5047b3e10b43d3238d1b44dff5bc362c",
"Image": {
"TableID": 13,
"RecordUid": "25838eb4-98ee-4574-845c-adfb4ec998fd"
}
}
}'
POST ImageDataKaydetV2 endpoint'i, ERP sisteminizde Image Data ile ilgili işlemler yapmak için kullanılır. Bu API endpoint'i üzerinden veri göndererek ilgili işlemleri hızlı, güvenli ve etkin şekilde gerçekleştirebilirsiniz. Entegrasyon sırasında gönderilecek verilerin formatı ve içerik doğruluğuna dikkat edilmesi gerekmektedir.
https://apidocs.mikro.com.tr/_mock/apis/API/APIMethods/ImageDataKaydetV2
https://localhost:8084/API/APIMethods/ImageDataKaydetV2
curl -i -X POST \
https://apidocs.mikro.com.tr/_mock/apis/API/APIMethods/ImageDataKaydetV2 \
-H 'Content-Type: application/json' \
-d '{
"Mikro": {
"FirmaKodu": "MIKROFLY",
"CalismaYili": "2023",
"KullaniciKodu": "SRV",
"Sifre": "5c3f2964996a220cdcfa48f8798622ff",
"Image": {
"TableID": 13,
"RecordUid": "0EBD2536-428D-49E6-8300-509556130837",
"ImageData": "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"
}
}
}'
POST ImageDataSilV2 endpoint'i, ERP sisteminizde Image Data ile ilgili işlemler yapmak için kullanılır. Bu API endpoint'i üzerinden veri göndererek ilgili işlemleri hızlı, güvenli ve etkin şekilde gerçekleştirebilirsiniz. Entegrasyon sırasında gönderilecek verilerin formatı ve içerik doğruluğuna dikkat edilmesi gerekmektedir.
https://apidocs.mikro.com.tr/_mock/apis/API/APIMethods/ImageDataSilV2
https://localhost:8084/API/APIMethods/ImageDataSilV2
curl -i -X POST \
https://apidocs.mikro.com.tr/_mock/apis/API/APIMethods/ImageDataSilV2 \
-H 'Content-Type: application/json' \
-d '{
"Mikro": {
"FirmaKodu": "MIKROFLY",
"CalismaYili": "2023",
"KullaniciKodu": "SRV",
"Sifre": "5c3f2964996a220cdcfa48f8798622ff",
"Image": {
"TableID": 13,
"RecordUid": "0EBD2536-428D-49E6-8300-509556130837"
}
}
}'