# AI Company & Person Verification API — Cited Profiles (`rumi7911/entity-verifier`) Actor

Give it a company or person's name and get back a researched profile with a summary, red flags, a confidence rating, and the real source URLs behind every claim — live Google Search grounding, not a stale training-data guess.

- **URL**: https://apify.com/rumi7911/entity-verifier.md
- **Developed by:** [Muhammad Sohaib Roomi](https://apify.com/rumi7911) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $150.00 / 1,000 entity verifieds

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

## AI Company & Person Verification API — Cited Profiles

Give it a company or person's name and get back a researched profile: a summary, key facts, red flags, a confidence rating, and — critically — the real source URLs behind every claim. This isn't a lookup against stale training data; it runs live Google Search grounding through Gemini for every request, so it reflects what's actually findable right now.

### What you can use this for

- **Due diligence / KYB** — a fast first-pass check on a vendor, partner, or investment target before a deeper manual review.
- **Lead qualification** — verify a company is real, active, and not flagged for anything concerning before your sales team spends time on it.
- **Fraud/scam screening** — surface red flags (legal issues, sanctions mentions, fraud reports) that a plain company-database lookup wouldn't catch.
- **Journalism/research** — a sourced starting point for background on a company or public figure.

### Input

| Field | Description | Default |
|---|---|---|
| `entityName` | Company or person to research | `OpenAI` |
| `context` | Extra detail to disambiguate a common name (optional) | — |
| `model` | Gemini model to use | `gemini-3.8-flash` |
| `apiKey` | Your own Gemini API key (optional — leave blank to use the Actor's key) | — |

Every field has a working default — hit **Start** with no changes and you'll get a result.

### Output

```json
{
  "entityName": "OpenAI",
  "type": "company",
  "summary": "...",
  "officialWebsite": "https://openai.com",
  "foundedOrBorn": "December 2015",
  "keyFacts": ["...", "..."],
  "redFlags": [],
  "confidence": "high",
  "verdict": "verified",
  "sources": [{ "url": "https://...", "title": "..." }],
  "searchQueries": ["..."],
  "model": "gemini-3.8-flash",
  "verifiedAt": "2026-09-04T12:00:00.000Z"
}
```

### Pricing

Pay-per-event: **$0.15 per entity verified**. No subscription, no minimum — you only pay for profiles actually returned.

# Actor input Schema

## `entityName` (type: `string`):

Who or what to research and verify.

## `context` (type: `string`):

Extra detail to disambiguate a common name, e.g. "software company based in San Francisco" or "CEO of Acme Corp".

## `model` (type: `string`):

Which Gemini model to use for research and synthesis.

## `apiKey` (type: `string`):

Leave blank to use the Actor's own configured key. Only set this if you want to use your own Gemini API key instead.

## Actor input object example

```json
{
  "entityName": "OpenAI",
  "context": "",
  "model": "gemini-3.8-flash"
}
```

# Actor output Schema

## `verifiedProfiles` (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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("rumi7911/entity-verifier").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("rumi7911/entity-verifier").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 '{}' |
apify call rumi7911/entity-verifier --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,rumi7911/entity-verifier"
        }
    }
}

```

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/y1IlIeKcIuSNETyLC/builds/kKXvtSqsG7OPE3VV6/openapi.json