Company Research & Analysis Agent
Try for free
This Actor is paid per event
Go to Store
Company Research & Analysis Agent
pratikdani/company-research-analysis-agent
Try for free
This Actor is paid per event
Comprehensive company research AI agent that gathers detailed information about companies using their domain name. Provides insights on company overview, products, market presence, key personnel, financials, technology stack, and recent developments.
Developer
Pratik DaniMaintained by Community
Actor Metrics
5 Monthly users
No reviews yet
1 bookmark
80% runs succeeded
Created in Mar 2025
Modified 3 days ago
Categories
You can access the Company Research & Analysis Agent programmatically from your own applications by using the Apify API. You can 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": "1.0",
5 "x-build-id": "2Dslk6k764exRYFLi"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/pratikdani~company-research-analysis-agent/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-pratikdani-company-research-analysis-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 "$ref": "#/components/schemas/inputSchema"
27 }
28 }
29 }
30 },
31 "parameters": [
32 {
33 "name": "token",
34 "in": "query",
35 "required": true,
36 "schema": {
37 "type": "string"
38 },
39 "description": "Enter your Apify token here"
40 }
41 ],
42 "responses": {
43 "200": {
44 "description": "OK"
45 }
46 }
47 }
48 },
49 "/acts/pratikdani~company-research-analysis-agent/runs": {
50 "post": {
51 "operationId": "runs-sync-pratikdani-company-research-analysis-agent",
52 "x-openai-isConsequential": false,
53 "summary": "Executes an Actor and returns information about the initiated run in response.",
54 "tags": [
55 "Run Actor"
56 ],
57 "requestBody": {
58 "required": true,
59 "content": {
60 "application/json": {
61 "schema": {
62 "$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 "$ref": "#/components/schemas/runsResponseSchema"
85 }
86 }
87 }
88 }
89 }
90 }
91 },
92 "/acts/pratikdani~company-research-analysis-agent/run-sync": {
93 "post": {
94 "operationId": "run-sync-pratikdani-company-research-analysis-agent",
95 "x-openai-isConsequential": false,
96 "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
97 "tags": [
98 "Run Actor"
99 ],
100 "requestBody": {
101 "required": true,
102 "content": {
103 "application/json": {
104 "schema": {
105 "$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 "domain"
135 ],
136 "properties": {
137 "domain": {
138 "title": "Company Domain",
139 "type": "string",
140 "description": "Domain name of the company to research (e.g., apple.com)",
141 "default": "apify.com"
142 }
143 }
144 },
145 "runsResponseSchema": {
146 "type": "object",
147 "properties": {
148 "data": {
149 "type": "object",
150 "properties": {
151 "id": {
152 "type": "string"
153 },
154 "actId": {
155 "type": "string"
156 },
157 "userId": {
158 "type": "string"
159 },
160 "startedAt": {
161 "type": "string",
162 "format": "date-time",
163 "example": "2025-01-08T00:00:00.000Z"
164 },
165 "finishedAt": {
166 "type": "string",
167 "format": "date-time",
168 "example": "2025-01-08T00:00:00.000Z"
169 },
170 "status": {
171 "type": "string",
172 "example": "READY"
173 },
174 "meta": {
175 "type": "object",
176 "properties": {
177 "origin": {
178 "type": "string",
179 "example": "API"
180 },
181 "userAgent": {
182 "type": "string"
183 }
184 }
185 },
186 "stats": {
187 "type": "object",
188 "properties": {
189 "inputBodyLen": {
190 "type": "integer",
191 "example": 2000
192 },
193 "rebootCount": {
194 "type": "integer",
195 "example": 0
196 },
197 "restartCount": {
198 "type": "integer",
199 "example": 0
200 },
201 "resurrectCount": {
202 "type": "integer",
203 "example": 0
204 },
205 "computeUnits": {
206 "type": "integer",
207 "example": 0
208 }
209 }
210 },
211 "options": {
212 "type": "object",
213 "properties": {
214 "build": {
215 "type": "string",
216 "example": "latest"
217 },
218 "timeoutSecs": {
219 "type": "integer",
220 "example": 300
221 },
222 "memoryMbytes": {
223 "type": "integer",
224 "example": 1024
225 },
226 "diskMbytes": {
227 "type": "integer",
228 "example": 2048
229 }
230 }
231 },
232 "buildId": {
233 "type": "string"
234 },
235 "defaultKeyValueStoreId": {
236 "type": "string"
237 },
238 "defaultDatasetId": {
239 "type": "string"
240 },
241 "defaultRequestQueueId": {
242 "type": "string"
243 },
244 "buildNumber": {
245 "type": "string",
246 "example": "1.0.0"
247 },
248 "containerUrl": {
249 "type": "string"
250 },
251 "usage": {
252 "type": "object",
253 "properties": {
254 "ACTOR_COMPUTE_UNITS": {
255 "type": "integer",
256 "example": 0
257 },
258 "DATASET_READS": {
259 "type": "integer",
260 "example": 0
261 },
262 "DATASET_WRITES": {
263 "type": "integer",
264 "example": 0
265 },
266 "KEY_VALUE_STORE_READS": {
267 "type": "integer",
268 "example": 0
269 },
270 "KEY_VALUE_STORE_WRITES": {
271 "type": "integer",
272 "example": 1
273 },
274 "KEY_VALUE_STORE_LISTS": {
275 "type": "integer",
276 "example": 0
277 },
278 "REQUEST_QUEUE_READS": {
279 "type": "integer",
280 "example": 0
281 },
282 "REQUEST_QUEUE_WRITES": {
283 "type": "integer",
284 "example": 0
285 },
286 "DATA_TRANSFER_INTERNAL_GBYTES": {
287 "type": "integer",
288 "example": 0
289 },
290 "DATA_TRANSFER_EXTERNAL_GBYTES": {
291 "type": "integer",
292 "example": 0
293 },
294 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
295 "type": "integer",
296 "example": 0
297 },
298 "PROXY_SERPS": {
299 "type": "integer",
300 "example": 0
301 }
302 }
303 },
304 "usageTotalUsd": {
305 "type": "number",
306 "example": 0.00005
307 },
308 "usageUsd": {
309 "type": "object",
310 "properties": {
311 "ACTOR_COMPUTE_UNITS": {
312 "type": "integer",
313 "example": 0
314 },
315 "DATASET_READS": {
316 "type": "integer",
317 "example": 0
318 },
319 "DATASET_WRITES": {
320 "type": "integer",
321 "example": 0
322 },
323 "KEY_VALUE_STORE_READS": {
324 "type": "integer",
325 "example": 0
326 },
327 "KEY_VALUE_STORE_WRITES": {
328 "type": "number",
329 "example": 0.00005
330 },
331 "KEY_VALUE_STORE_LISTS": {
332 "type": "integer",
333 "example": 0
334 },
335 "REQUEST_QUEUE_READS": {
336 "type": "integer",
337 "example": 0
338 },
339 "REQUEST_QUEUE_WRITES": {
340 "type": "integer",
341 "example": 0
342 },
343 "DATA_TRANSFER_INTERNAL_GBYTES": {
344 "type": "integer",
345 "example": 0
346 },
347 "DATA_TRANSFER_EXTERNAL_GBYTES": {
348 "type": "integer",
349 "example": 0
350 },
351 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
352 "type": "integer",
353 "example": 0
354 },
355 "PROXY_SERPS": {
356 "type": "integer",
357 "example": 0
358 }
359 }
360 }
361 }
362 }
363 }
364 }
365 }
366 }
367}Company Research & Analysis 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 Company Research & Analysis 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:
