# Truth Analyzer (`truth_seeker/truth-analyzer`) Actor

AI-powered truth analysis tool that evaluates the factual accuracy of any text. Detects false or misleading statements, provides a truth score, short explanation, and verified sources.

- **URL**: https://apify.com/truth\_seeker/truth-analyzer.md
- **Developed by:** [KIT Dienstleistungen](https://apify.com/truth_seeker) (community)
- **Categories:** AI, Other, Automation
- **Stats:** 8 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.50 / 1,000 results

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

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## truth-analyzer

An Apify Actor scaffold created from a local session.

This Actor uses the Apify SDK and Crawlee (CheerioCrawler) as an example crawler. It was copied from an existing workspace to avoid a locked-folder rename issue.

Quick start

1. Install dependencies (optional locally):
   - Open PowerShell and run:
     npm install

2. Run locally with Apify CLI (requires apify CLI installed and logged in):
   - apify run

3. Push to Apify platform (requires apify login):
   - apify push

Notes

- The Actor entrypoint is `src/main.js`.
- Actor configuration lives in `.actor/actor.json` and input schema in `.actor/input_schema.json`.
- If you want the local folder renamed back to `truth-analyzer`, it's already created as a copy; you can remove the old `truth_analyzer` folder once you're sure everything works.

# Actor input Schema

## `startUrls` (type: `array`):

URLs to start with.

## `maxRequestsPerCrawl` (type: `integer`):

Maximum number of requests that can be made by this crawler.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://crawlee.dev/"
    }
  ],
  "maxRequestsPerCrawl": 100
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "startUrls": [
        {
            "url": "https://crawlee.dev/"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("truth_seeker/truth-analyzer").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "startUrls": [{ "url": "https://crawlee.dev/" }] }

# Run the Actor and wait for it to finish
run = client.actor("truth_seeker/truth-analyzer").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "startUrls": [
    {
      "url": "https://crawlee.dev/"
    }
  ]
}' |
apify call truth_seeker/truth-analyzer --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,truth_seeker/truth-analyzer"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/06qGcTjFdsgDT5TPi/builds/9YLaGDZG4DmRcLRfc/openapi.json