Phishing Email Detector AI Agent avatar
Phishing Email Detector AI Agent

Pricing

Pay per event

Go to Store
Phishing Email Detector AI Agent

Phishing Email Detector AI Agent

Developed by

Web Harvester

Maintained by Community

The Phishing Email Detector AI Agent is a sophisticated tool designed to help users identify and analyze potential phishing attempts in received emails. With this comprehensive solution, users can quickly determine if an email poses a security threat through multi-layered analysis

5.0 (2)

Pricing

Pay per event

2

Monthly users

1

Runs succeeded

>99%

Last modified

a month ago

You can access the Phishing Email Detector AI Agent programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1{
2  "openapi": "3.0.1",
3  "info": {
4    "version": "0.0",
5    "x-build-id": "lfloaX47dSo5bB14G"
6  },
7  "servers": [
8    {
9      "url": "https://api.apify.com/v2"
10    }
11  ],
12  "paths": {
13    "/acts/web.harvester~phishing-email-detector-ai-agent/run-sync-get-dataset-items": {
14      "post": {
15        "operationId": "run-sync-get-dataset-items-web.harvester-phishing-email-detector-ai-agent",
16        "x-openai-isConsequential": false,
17        "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18        "tags": [
19          "Run Actor"
20        ],
21        "requestBody": {
22          "required": true,
23          "content": {
24            "application/json": {
25              "schema": {
26                "$ref": "#/components/schemas/inputSchema"
27              }
28            }
29          }
30        },
31        "parameters": [
32          {
33            "name": "token",
34            "in": "query",
35            "required": true,
36            "schema": {
37              "type": "string"
38            },
39            "description": "Enter your Apify token here"
40          }
41        ],
42        "responses": {
43          "200": {
44            "description": "OK"
45          }
46        }
47      }
48    },
49    "/acts/web.harvester~phishing-email-detector-ai-agent/runs": {
50      "post": {
51        "operationId": "runs-sync-web.harvester-phishing-email-detector-ai-agent",
52        "x-openai-isConsequential": false,
53        "summary": "Executes an Actor and returns information about the initiated run in response.",
54        "tags": [
55          "Run Actor"
56        ],
57        "requestBody": {
58          "required": true,
59          "content": {
60            "application/json": {
61              "schema": {
62                "$ref": "#/components/schemas/inputSchema"
63              }
64            }
65          }
66        },
67        "parameters": [
68          {
69            "name": "token",
70            "in": "query",
71            "required": true,
72            "schema": {
73              "type": "string"
74            },
75            "description": "Enter your Apify token here"
76          }
77        ],
78        "responses": {
79          "200": {
80            "description": "OK",
81            "content": {
82              "application/json": {
83                "schema": {
84                  "$ref": "#/components/schemas/runsResponseSchema"
85                }
86              }
87            }
88          }
89        }
90      }
91    },
92    "/acts/web.harvester~phishing-email-detector-ai-agent/run-sync": {
93      "post": {
94        "operationId": "run-sync-web.harvester-phishing-email-detector-ai-agent",
95        "x-openai-isConsequential": false,
96        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
97        "tags": [
98          "Run Actor"
99        ],
100        "requestBody": {
101          "required": true,
102          "content": {
103            "application/json": {
104              "schema": {
105                "$ref": "#/components/schemas/inputSchema"
106              }
107            }
108          }
109        },
110        "parameters": [
111          {
112            "name": "token",
113            "in": "query",
114            "required": true,
115            "schema": {
116              "type": "string"
117            },
118            "description": "Enter your Apify token here"
119          }
120        ],
121        "responses": {
122          "200": {
123            "description": "OK"
124          }
125        }
126      }
127    }
128  },
129  "components": {
130    "schemas": {
131      "inputSchema": {
132        "type": "object",
133        "required": [
134          "email",
135          "subject",
136          "content",
137          "modelName"
138        ],
139        "properties": {
140          "email": {
141            "title": "Sender's email",
142            "type": "string",
143            "description": "The email address of the sender to analyze for reputation and trustworthiness"
144          },
145          "subject": {
146            "title": "Email Subject",
147            "type": "string",
148            "description": "The subject line of the received email (analyzed for phishing indicators)"
149          },
150          "content": {
151            "title": "Email Content",
152            "type": "string",
153            "description": "The full content/body of the received email to analyze for phishing patterns"
154          },
155          "headers": {
156            "title": "Email Headers",
157            "type": "string",
158            "description": "Optional: Raw email headers for authentication analysis (SPF, DKIM, DMARC)"
159          },
160          "modelName": {
161            "title": "AI Model",
162            "enum": [
163              "gpt-4o",
164              "gpt-4o-mini"
165            ],
166            "type": "string",
167            "description": "The OpenAI model to use for analysis. GPT-4o provides the most accurate results but is slower, while GPT-4o-mini is faster but slightly less accurate.",
168            "default": "gpt-4o"
169          },
170          "emailsToAlert": {
171            "title": "Emails addresses to alert",
172            "uniqueItems": true,
173            "type": "array",
174            "description": "Optional: Email addresses to send alerts to when a phishing email is detected",
175            "items": {
176              "type": "string"
177            }
178          }
179        }
180      },
181      "runsResponseSchema": {
182        "type": "object",
183        "properties": {
184          "data": {
185            "type": "object",
186            "properties": {
187              "id": {
188                "type": "string"
189              },
190              "actId": {
191                "type": "string"
192              },
193              "userId": {
194                "type": "string"
195              },
196              "startedAt": {
197                "type": "string",
198                "format": "date-time",
199                "example": "2025-01-08T00:00:00.000Z"
200              },
201              "finishedAt": {
202                "type": "string",
203                "format": "date-time",
204                "example": "2025-01-08T00:00:00.000Z"
205              },
206              "status": {
207                "type": "string",
208                "example": "READY"
209              },
210              "meta": {
211                "type": "object",
212                "properties": {
213                  "origin": {
214                    "type": "string",
215                    "example": "API"
216                  },
217                  "userAgent": {
218                    "type": "string"
219                  }
220                }
221              },
222              "stats": {
223                "type": "object",
224                "properties": {
225                  "inputBodyLen": {
226                    "type": "integer",
227                    "example": 2000
228                  },
229                  "rebootCount": {
230                    "type": "integer",
231                    "example": 0
232                  },
233                  "restartCount": {
234                    "type": "integer",
235                    "example": 0
236                  },
237                  "resurrectCount": {
238                    "type": "integer",
239                    "example": 0
240                  },
241                  "computeUnits": {
242                    "type": "integer",
243                    "example": 0
244                  }
245                }
246              },
247              "options": {
248                "type": "object",
249                "properties": {
250                  "build": {
251                    "type": "string",
252                    "example": "latest"
253                  },
254                  "timeoutSecs": {
255                    "type": "integer",
256                    "example": 300
257                  },
258                  "memoryMbytes": {
259                    "type": "integer",
260                    "example": 1024
261                  },
262                  "diskMbytes": {
263                    "type": "integer",
264                    "example": 2048
265                  }
266                }
267              },
268              "buildId": {
269                "type": "string"
270              },
271              "defaultKeyValueStoreId": {
272                "type": "string"
273              },
274              "defaultDatasetId": {
275                "type": "string"
276              },
277              "defaultRequestQueueId": {
278                "type": "string"
279              },
280              "buildNumber": {
281                "type": "string",
282                "example": "1.0.0"
283              },
284              "containerUrl": {
285                "type": "string"
286              },
287              "usage": {
288                "type": "object",
289                "properties": {
290                  "ACTOR_COMPUTE_UNITS": {
291                    "type": "integer",
292                    "example": 0
293                  },
294                  "DATASET_READS": {
295                    "type": "integer",
296                    "example": 0
297                  },
298                  "DATASET_WRITES": {
299                    "type": "integer",
300                    "example": 0
301                  },
302                  "KEY_VALUE_STORE_READS": {
303                    "type": "integer",
304                    "example": 0
305                  },
306                  "KEY_VALUE_STORE_WRITES": {
307                    "type": "integer",
308                    "example": 1
309                  },
310                  "KEY_VALUE_STORE_LISTS": {
311                    "type": "integer",
312                    "example": 0
313                  },
314                  "REQUEST_QUEUE_READS": {
315                    "type": "integer",
316                    "example": 0
317                  },
318                  "REQUEST_QUEUE_WRITES": {
319                    "type": "integer",
320                    "example": 0
321                  },
322                  "DATA_TRANSFER_INTERNAL_GBYTES": {
323                    "type": "integer",
324                    "example": 0
325                  },
326                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
327                    "type": "integer",
328                    "example": 0
329                  },
330                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
331                    "type": "integer",
332                    "example": 0
333                  },
334                  "PROXY_SERPS": {
335                    "type": "integer",
336                    "example": 0
337                  }
338                }
339              },
340              "usageTotalUsd": {
341                "type": "number",
342                "example": 0.00005
343              },
344              "usageUsd": {
345                "type": "object",
346                "properties": {
347                  "ACTOR_COMPUTE_UNITS": {
348                    "type": "integer",
349                    "example": 0
350                  },
351                  "DATASET_READS": {
352                    "type": "integer",
353                    "example": 0
354                  },
355                  "DATASET_WRITES": {
356                    "type": "integer",
357                    "example": 0
358                  },
359                  "KEY_VALUE_STORE_READS": {
360                    "type": "integer",
361                    "example": 0
362                  },
363                  "KEY_VALUE_STORE_WRITES": {
364                    "type": "number",
365                    "example": 0.00005
366                  },
367                  "KEY_VALUE_STORE_LISTS": {
368                    "type": "integer",
369                    "example": 0
370                  },
371                  "REQUEST_QUEUE_READS": {
372                    "type": "integer",
373                    "example": 0
374                  },
375                  "REQUEST_QUEUE_WRITES": {
376                    "type": "integer",
377                    "example": 0
378                  },
379                  "DATA_TRANSFER_INTERNAL_GBYTES": {
380                    "type": "integer",
381                    "example": 0
382                  },
383                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
384                    "type": "integer",
385                    "example": 0
386                  },
387                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
388                    "type": "integer",
389                    "example": 0
390                  },
391                  "PROXY_SERPS": {
392                    "type": "integer",
393                    "example": 0
394                  }
395                }
396              }
397            }
398          }
399        }
400      }
401    }
402  }
403}

Phishing Email Detector AI Agent OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Phishing Email Detector AI Agent from the options below:

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Pricing

Pricing model

Pay per event 

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Actor start per 1 GB

$0.005

Flat fee for starting an Actor run for each 1 GB of memory.

Price per 100 OpenAI tokens for gpt-4o

$0.001

Flat fee for each 100 gpt-4o tokens used.

Price per 100 OpenAI tokens for gpt-4o-mini

$0.00025

Flat fee for each 100 gpt-4o-mini tokens used.