Connect AI agents to Akta Pro

1. Install the SDK

   Node.js

   npm install @scalekit-sdk/node dotenv

   Python

   pip install scalekit-sdk-python python-dotenv

   Full SDK reference: Node.js | Python

2. Set your credentials

   Add your Scalekit credentials to your .env file. Find values in app.scalekit.com > Developers > API Credentials.

   .env

   SCALEKIT_ENVIRONMENT_URL=<your-environment-url>
   SCALEKIT_CLIENT_ID=<your-client-id>
   SCALEKIT_CLIENT_SECRET=<your-client-secret>

3. Make your first call

   Node.js

   quickstart.mts

   import { ScalekitClient } from '@scalekit-sdk/node'
   import 'dotenv/config'
   
   const scalekit = new ScalekitClient(
     process.env.SCALEKIT_ENVIRONMENT_URL,
     process.env.SCALEKIT_CLIENT_ID,
     process.env.SCALEKIT_CLIENT_SECRET,
   )
   const actions = scalekit.actions
   
   const connector = 'aktapro'
   const identifier = 'user_123'
   
   // Make your first call
   const result = await actions.executeTool({
     connector,
     identifier,
     toolName: 'aktapro_search_news',
     toolInput: {},
   })
   console.log(result)

   npx tsx quickstart.mts

   Python

   quickstart.py

   import os
   from scalekit import ScalekitClient
   from dotenv import load_dotenv
   load_dotenv()
   
   scalekit_client = ScalekitClient(
       env_url=os.getenv("SCALEKIT_ENVIRONMENT_URL"),
       client_id=os.getenv("SCALEKIT_CLIENT_ID"),
       client_secret=os.getenv("SCALEKIT_CLIENT_SECRET"),
   )
   actions = scalekit_client.actions
   
   connection_name = "aktapro"
   identifier = "user_123"
   
   # Make your first call
   result = actions.execute_tool(
       tool_input={},
       tool_name="aktapro_search_news",
       connection_name=connection_name,
       identifier=identifier,
   )
   print(result)

   python quickstart.py

What you can do

Connect this agent connector to let your agent:

• Search news — Search company news signals with filters for company, industry, sentiment, entities, and date range

Tool list

Use the exact tool names from the Tool list below when you call execute_tool. If you’re not sure which name to use, list the tools available for the current user first.

aktapro_search_news#Search company news signals with filters for company, industry, sentiment, entities, and date range. Returns article title, URL, publisher, sentiment, AI summary, and classification metadata.23 params▾

Search company news signals with filters for company, industry, sentiment, entities, and date range. Returns article title, URL, publisher, sentiment, AI summary, and classification metadata.

NameTypeRequiredDescription

blacklistedstringoptionalComma-separated publisher domains to exclude.

companystringoptionalCompany website URL or company UUID to filter news for. Mutually exclusive with primary_company.

countriesstringoptionalComma-separated 3-letter ISO country codes to filter by.

end_datestringoptionalEnd date filter, format YYYY-MM-DD. Defaults to today.

entity_event_liststringoptionalComma-separated events to filter by.

entity_location_liststringoptionalComma-separated locations to filter by.

entity_person_liststringoptionalComma-separated person names to filter by.

entity_product_liststringoptionalComma-separated products to filter by.

iab_code_liststringoptionalComma-separated IAB codes to filter by.

industrystringoptionalComma-separated industry codes to filter by.

iptc_code_liststringoptionalComma-separated IPTC codes to filter by.

limitintegeroptionalNumber of results to return. Default 10, max 1000.

naics_code_liststringoptionalComma-separated NAICS codes to filter by.

news_score_liststringoptionalFilter by newsworthiness score: High, Medium, Low, or all (default).

offsetintegeroptionalOffset for pagination. Default 0.

primary_companystringoptionalCompany website URL or UUID where the company is the primary subject of the article. Mutually exclusive with company.

querystringoptionalTopic or keyword search. Mutually exclusive with title.

sentiment_liststringoptionalComma-separated sentiment filters: positive, negative, neutral, or all.

sic_code_liststringoptionalComma-separated SIC codes to filter by.

start_datestringoptionalStart date filter, format YYYY-MM-DD.

titlestringoptionalSearch by article title. Mutually exclusive with query.

type_liststringoptionalComma-separated news category filters.

unique_articlebooleanoptionalGroup similar articles together.