# AI Pet Adoption Scam Checker — Cited Risk Report (`rumi7911/pet-scam-checker`) Actor

Describe a pet listing or seller and get back a scam-risk assessment: matched puppy-scam red-flag patterns, a recommended next step, a confidence rating, and the real source URLs behind every claim — live Google Search grounding, not a stale guess.

- **URL**: https://apify.com/rumi7911/pet-scam-checker.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 $120.00 / 1,000 situation checkeds

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 Pet Adoption Scam Checker — Cited Risk Report

Describe a pet listing or seller and get back a scam-risk assessment: matched puppy-scam red-flag patterns, a recommended next step, a confidence rating, and the real source URLs behind every claim — live Google Search grounding, not a guess from stale training data.

### What you can use this for

- **Personal use** — a sanity check before sending money to a breeder or seller you've never met.
- **Rescue/adoption platforms** — an automated screening layer for suspicious listings.
- **Consumer-protection tools** — a backend for a "check this before you pay" feature.

### Input

| Field | Description | Default |
|---|---|---|
| `situationDescription` | Describe the listing, seller, and story so far | a classic puppy-scam example |
| `sellerName` | Seller/breeder name (optional) | — |
| `breed` | Breed (optional) | — |
| `platform` | Where you found it, e.g. Facebook (optional) | — |
| `model` | Gemini model | `gemini-3.8-flash` |
| `apiKey` | Your own Gemini API key (optional) | — |

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

### Output

```json
{
  "situationSummary": "...",
  "commonScamType": "puppy scam / fake breeder",
  "verdict": "likely_scam",
  "confidence": "high",
  "redFlags": ["Seller claims military relocation and refuses in-person handoff", "Escalating fees after initial payment", "..."],
  "positiveSignals": [],
  "recommendedAction": "Do not send further payment. Insist on an in-person or live-video meeting before any money changes hands. Report to the platform and the FTC.",
  "sources": [{ "url": "https://...", "title": "..." }],
  "searchQueries": ["..."],
  "groundingUsed": true,
  "model": "gemini-3.8-flash",
  "verifiedAt": "2026-09-04T12:00:00.000Z"
}
```

### Pricing

Pay-per-event: **$0.12 per situation checked**. No subscription, no minimum.

# Actor input Schema

## `situationDescription` (type: `string`):

Free text describing the pet listing, seller, and story so far.

## `sellerName` (type: `string`):

Checked for scam reports if provided.

## `breed` (type: `string`):

Helps benchmark whether the price is realistic.

## `platform` (type: `string`):

e.g. Facebook, a standalone breeder website, Craigslist.

## `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.

## Actor input object example

```json
{
  "situationDescription": "Found a French Bulldog puppy for $400 on a breeder's website. Seller says they're in the military and relocating, so the puppy has to be shipped rather than picked up in person. After I paid, they said I now also need to pay for a special climate-controlled crate and pet insurance before they'll ship.",
  "sellerName": "",
  "breed": "",
  "platform": "",
  "model": "gemini-3.8-flash"
}
```

# Actor output Schema

## `riskReports` (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/pet-scam-checker").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/pet-scam-checker").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/pet-scam-checker --silent --output-dataset

```

## MCP server setup

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

```

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/C5G3jeKAgi8Z7ga4J/builds/CJh2hQv2UDuLrEi4E/openapi.json