Opinion Compass Agent
Pricing
Pay per event
Opinion Compass Agent
An AI agent that analyzes individuals' stances on specific statements using public social media data. You enter a person's name and an opinion statement, and the Actor evaluates multiple sources to provide a detailed assessment with supporting evidence. The agent is built using LangGraph and Python.
0.0 (0)
Pricing
Pay per event
1
Monthly users
11
Runs succeeded
83%
Last modified
a month ago
You can access the Opinion Compass 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# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=jan.turon/opinion-compass"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Opinion Compass Agent via Model Context Protocol (MCP) server
MCP server lets you use Opinion Compass Agent within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the Opinion Compass Agent Actor with the provided input.
1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2 "jsonrpc": "2.0",
3 "id": 1,
4 "method": "tools/call",
5 "params": {
6 "arguments": {
7 "person": "Donald Trump",
8 "opinion": "USA should always come first."
9},
10 "name": "jan.turon/opinion-compass"
11 }
12}'The response should be: Accepted. You should received response via SSE (JSON) as:
1event: message
2data: {
3 "result": {
4 "content": [
5 {
6 "type": "text",
7 "text": "ACTOR_RESPONSE"
8 }
9 ]
10 }
11}Configure local MCP Server via standard input/output for Opinion Compass Agent
You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:
1{
2 "mcpServers": {
3 "actors-mcp-server": {
4 "command": "npx",
5 "args": [
6 "-y",
7 "@apify/actors-mcp-server",
8 "--actors",
9 "jan.turon/opinion-compass"
10 ],
11 "env": {
12 "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13 }
14 }
15 }
16}You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.
To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.
Pricing
Pricing model
Pay per eventThis 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.
AI Analysis
$0.01
Flat fee for producing final AI Analysis.
Piece of evidence
$0.02
Extra fee for each piece of evidence considered in the analysis.
Actor run surcharge for free user
$0.30
Extra fee for free user as Actor is using OpenAI paid account
