Spam Classify -> Spam Conversation, Spam Document

Author: valeriansaliou

README.md

@@ -397,15 +397,15 @@ client.task.fraud_spamicity({
 }
 ```
 
-#### ➡️ Spam Classify
+#### ➡️ Spam Conversation
 
-* **Method:** `client.task.spam_classify(data)`
-* **Reference:** [Spam Classify](https://docs.mirage-ai.com/references/api/v1/#spam-classify)
+* **Method:** `client.task.spam_conversation(data)`
+* **Reference:** [Spam Conversation](https://docs.mirage-ai.com/references/api/v1/#spam-conversation)
 
 * **Request:**
 
 ```python
-client.task.spam_classify({
+client.task.spam_conversation({
   "sender": {
     "name": "John Doe",
     "email": "[email protected]"
@@ -442,6 +442,43 @@ client.task.spam_classify({
 }
 ```
 
+#### ➡️ Spam Document
+
+* **Method:** `client.task.spam_document(data)`
+* **Reference:** [Spam Document](https://docs.mirage-ai.com/references/api/v1/#spam-document)
+
+* **Request:**
+
+```python
+client.task.spam_document({
+  "name": "Spammy Domain",
+  "domain": "spammy-domain.crisp.help",
+  "title": "Spammy title",
+  "content": "Spammy content"
+});
+```
+
+* **Response:**
+
+```json
+{
+  "reason": "processed",
+
+  "data": {
+    "class": "spam",
+    "confidence": 0.82,
+    "logprob": -0.10,
+
+    "scores": {
+      "gibberish": 0.0,
+      "marketing": 0.0,
+      "regular": 0.0,
+      "spam": 0.82
+    }
+  }
+}
+```
+
 ### Data API
 
 #### ➡️ Context Ingest

mirage_api/resources/task.py

@@ -36,5 +36,8 @@ def translate_text(self, data):
   def fraud_spamicity(self, data):
     return self.parent.post("/task/fraud/spamicity", data)
 
-  def spam_classify(self, data):
-    return self.parent.post("/task/spam/classify", data)
+  def spam_conversation(self, data):
+    return self.parent.post("/task/spam/conversation", data)
+
+  def spam_document(self, data):
+    return self.parent.post("/task/spam/document", data)