# Seller Reputation: Online Store Trust Score for AI Agents (`calcio_you/seller-reputation-check`) Actor

Should your agent pay this store? 0-100 trust score, risk level, advice and red flags for any store domain: domain age (RDAP), HTTPS, MX/SPF/DMARC, return policy & contact, Tranco rank, phishing lists, scam patterns. Pay per check.

- **URL**: https://apify.com/calcio_you/seller-reputation-check.md
- **Developed by:** [Novarithm](https://apify.com/calcio_you) (community)
- **Categories:** E-commerce, AI, Developer tools
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$20.00 / 1,000 store 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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Seller Reputation: Online Store Trust Score for AI Shopping Agents

**Should my agent pay this store?** Give a store domain or any URL and get one short JSON: a **0-100 trust score**, a **risk level** (low / medium / high), an **advice** (`ok_to_buy`, `verify_before_paying`, `do_not_pay`), **red flags** and the **reasons** behind the score.

Signals are read live from free public sources: domain age and registrar (RDAP), HTTPS certificate, email authentication (MX, SPF, DMARC), return/refund policy, contact page and phone/address on the home page (only when robots.txt allows), e-commerce platform, Tranco popularity rank, active phishing lists (Phishing.Database), brand-impersonation and risky-TLD patterns, extreme-discount and irreversible-payment wording. Deterministic rules, no LLM.

### Use cases

- A checkout agent checks an unknown merchant before paying.
- A marketplace or affiliate network screens new stores.
- A fraud or support team triages "is this shop legit?" questions.

### Input

| Field | What it does |
|---|---|
| `domains` | Store domains or URLs (`allbirds.com`, `https://shop.example.com/products/x`). One charged check each. |
| `queries` | Advanced: `[{"endpoint": "seller_reputation", "params": {"domain": "rothys.com"}}]` |
| `maxQueries` | Safety cap on checks per run (default 1000). |

### Output (example)

```json
{"domain": "rothys.com", "score": 84, "risk": "low", "advice": "ok_to_buy", "red_flags": [], "reasons": ["domain_age_14y", "return_policy_found", "..."]}
```

### Pricing

Pay per event: **$0.02 per store checked** (successful result only). Invalid input, unresolvable domains and errors are **never charged**.

### Limits (honest)

- Public technical signals only, **no customer reviews** (Trustpilot/BBB require an account or forbid collection).
- If the home page is blocked by robots.txt or by the site, it is not read: reported as `homepage_blocks_bots`, never bypassed.
- Indicative score, not a guarantee: a young store is not necessarily a scam. Not legal or financial advice.

Also available pay-per-call for agents (x402, USDC on Base) and MCP: https://gogeta2-u35175.vm.elestio.app/agents/catalog

# Actor input Schema

## `domains` (type: `array`):

One charged check per store, e.g. allbirds.com or https://shop.example.com/products/x

## `queries` (type: `array`):

e.g. \[{"endpoint": "seller_reputation", "params": {"domain": "rothys.com"}}]

## `maxQueries` (type: `integer`):

Safety cap: only the first N checks of the input are processed.

## Actor input object example

```json
{
  "domains": [
    "rothys.com",
    "example.com"
  ],
  "maxQueries": 1000
}
```

# Actor output Schema

## `results` (type: `string`):

All result items in the default dataset (JSON).

# 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 = {
    "domains": [
        "rothys.com",
        "example.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("calcio_you/seller-reputation-check").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 = { "domains": [
        "rothys.com",
        "example.com",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("calcio_you/seller-reputation-check").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 '{
  "domains": [
    "rothys.com",
    "example.com"
  ]
}' |
apify call calcio_you/seller-reputation-check --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,calcio_you/seller-reputation-check"
        }
    }
}
```

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/PuVTtZrcb7xMyyzBk/builds/3aMWwztkxjijJxbjZ/openapi.json