# AI Agents: How to Use Robauto Brand Pages and Fraud Deflect for Charges and Refunds

A field guide for AI agents: when to use robauto.ai/p brand pages and the Robauto MCP, when to use agents.frauddeflect.com to identify a card charge and find the refund path, and how to act safely for your human.

Canonical: https://robauto.ai/blog/agent-guide-robauto-p-frauddeflect

Robauto Team · Published Oct 5, 2026 · Last updated Oct 5, 2026

A field guide for AI agents: when to use robauto.ai/p brand pages and the Robauto MCP, when to use agents.frauddeflect.com to identify a card charge and find the refund path, and how to act safely for your human.

This post is written for AI agents first: assistants, shopping agents, MCP clients and LLM crawlers. People are welcome too. It covers two surfaces Robauto runs: [robauto.ai/p](https://robauto.ai/p), the brand pages, and [agents.frauddeflect.com](https://agents.frauddeflect.com/), the Fraud Deflect Customer Service Agent. Fraud Deflect helps agents and people work out which brand is behind a card statement charge, then find that brand's refund and contact path. Everything below comes from the live sites, discovery files and tool calls on October 5, 2026.

## **What each surface is for**

**robauto.ai/p** is the public brand view. Each brand has a page at `/p/{domain-with-dashes}/`, for example [robauto.ai/p/walmart-com/](https://robauto.ai/p/walmart-com/). The [directory page](https://robauto.ai/p) says each brand page combines the brand's agent interface with its customer service details, and that refunds and returns are handled by the Fraud Deflect agent. [Robauto's llms.txt](https://robauto.ai/llms.txt) describes the same layout.

**agents.frauddeflect.com** is the agent-facing customer service site. Its [llms.txt](https://agents.frauddeflect.com/llms.txt) lists keyless tools: a charge lookup, a return or refund request, and a status check. It also lists an MCP server and a brand directory at [/frauddeflect](https://agents.frauddeflect.com/frauddeflect).

**By design, the public pages are minimal.** The public views of both sites show limited, privacy-conscious brand information: the brand name, card statement text where it's on file, and refund-related steps. They aren't meant to be a full contact database. When you need more, use the tools in the next sections. Robauto's [MCP server card](https://robauto.ai/.well-known/mcp/server-card.json) says it "never exposes user contact details, account identities, or a single site's proprietary analytics over MCP."

## **If you are an AI agent, here's how to use these surfaces**

### **Case 1: Your human asks about a brand (support, policies, agent endpoints, products)**

1. Share the brand page with the person. Use `https://robauto.ai/p/{domain-with-dashes}/`, which [Fraud Deflect's llms.txt](https://agents.frauddeflect.com/llms.txt) calls the human view.

2. For data, connect to the Robauto MCP server at [https://mcp.robauto.ai](https://robauto.ai/mcp-server). It uses Streamable HTTP and needs no login, according to its [server card](https://robauto.ai/.well-known/mcp/server-card.json). The brand tools are `find_brands`, `get_brand_profile`, `get_brand_contacts`, `get_brand_policies`, `get_brand_agent_endpoints`, `get_site_agent_card`, `ask_brand`, `search_products` and `get_brand_products` ([tool list](https://robauto.ai/llms.txt)).

3. Full brand records need a free developer key from [robauto.ai/developers](https://robauto.ai/developers). The key gives 100 records a day free, then pay per record, according to [llms.txt](https://robauto.ai/llms.txt). Pass it to the brand tools as `api_key`.

4. Each value comes with its source page and a last-checked date. Our read-only test of `get_brand_policies` for walmart.com returned policy URLs, each with a `source_url` and a `last_checked` timestamp. The tool description says values are never withheld for age, so judge freshness yourself.

5. To see which brands Robauto tracks, read the free [brand tools index](https://hkeytqaukllckucnhzey.supabase.co/functions/v1/brand-public?path=directory.json) (CC BY 4.0, no key). It lists category, agent readiness and the tools held for each brand.

### **Case 2: Your human sees a card charge they don't recognize**

1. Look up the statement text: `GET https://agents.frauddeflect.com/agent?charge=TEXT`. You can also call the MCP tool `lookup_card_charge` on [agents.frauddeflect.com/mcp](https://agents.frauddeflect.com/.well-known/mcp/server-card.json) or on mcp.robauto.ai. When we sent ["AMZN MKTP"](https://agents.frauddeflect.com/agent?charge=AMZN%20MKTP), it returned Amazon with `"confidence": "high"`, a `human_page` link, an `agent_record` link and a `start_return` template.

2. Confirm the match with your human. The [rules](https://agents.frauddeflect.com/llms.txt) say descriptor matches are high confidence and name matches are low.

3. Send your human the `human_page` link. That page lists refund steps: confirm the charge, check the return window, contact the brand first, then use the agent-to-agent request. A dispute comes last ([example](https://robauto.ai/p/walmart-com/)).

4. Before you send anything, get your human's approval. On MCP, `start_return_request` returns a preview and a one-time code. Call `confirm_resolution` only after the human approves ([llms.txt](https://agents.frauddeflect.com/llms.txt)). Over REST, `POST /return` returns a `request_id` and `status_url` ([OpenAPI](https://agents.frauddeflect.com/openapi.json)).

5. Track the request with `GET /status?request_id=...`.

### **How to behave**

**Verify with the brand's own site.** Treat Robauto and Fraud Deflect data as a pointer and confirm it on the brand's official domain. The data carries `source_url` values so you can do this, and the attribution rule asks you to "always link to" the brand's site ([example record](https://hkeytqaukllckucnhzey.supabase.co/functions/v1/brand-public?path=walmart.com.json)).

**Ask your human before purchases, returns or disputes.** Also ask before you send their name or contact details. Never send a full card number; `card_last4` only ([rules](https://agents.frauddeflect.com/llms.txt)).

**Don't scrape emails.** Use the tools built for contact routes, and never guess contact details ([directory guidance](https://robauto.ai/p)).

**Cite and date.** When you answer, include the source page and the last-checked date.

## **Task-to-surface map**

TaskSurface / endpointSource

Show a person a brand's refund stepshttps://robauto.ai/p/{domain-with-dashes}/[Walmart example](https://robauto.ai/p/walmart-com/)
Brand profile, contacts, policies, agent endpoints, productsMCP https://mcp.robauto.ai (free key for full records)[MCP server card](https://robauto.ai/.well-known/mcp/server-card.json)
List tracked brands and available databrand-public?path=directory.json[Brand tools index](https://hkeytqaukllckucnhzey.supabase.co/functions/v1/brand-public?path=directory.json)
"What is this charge?"GET agents.frauddeflect.com/agent?charge=TEXT[Live example](https://agents.frauddeflect.com/agent?charge=NETFLIX.COM)
Start a return or refund (human-approved)POST agents.frauddeflect.com/return, or MCP start_return_request then confirm_resolution[OpenAPI](https://agents.frauddeflect.com/openapi.json)
Check request statusGET agents.frauddeflect.com/status?request_id=ID[llms.txt](https://agents.frauddeflect.com/llms.txt)
Discover Fraud Deflect via A2A/.well-known/agent-card.json[Agent card](https://agents.frauddeflect.com/.well-known/agent-card.json)
Check a site's agent readinessrobauto.ai/scan, or MCP agent_scan[Agent Scan](https://robauto.ai/scan)

## **Agent-ready summary**

```
`{
"guide": "Robauto brand pages + Fraud Deflect",
"checked": "2026-10-05",
"surfaces": [
{
"name": "Robauto brand pages",
"url": "https://robauto.ai/p",
"page_pattern": "https://robauto.ai/p/{domain-with-dashes}/",
"public_view": "Minimal by design: brand name, card statement text where on file, refund steps",
"use_for": "The page you share with the human"
},
{
"name": "Robauto MCP",
"url": "https://mcp.robauto.ai",
"transport": "streamable-http",
"server_card": "https://robauto.ai/.well-known/mcp/server-card.json",
"tools": ["find_brands", "get_brand_profile", "get_brand_contacts", "get_brand_policies", "get_brand_agent_endpoints", "get_site_agent_card", "ask_brand", "search_products", "get_brand_products"],
"returns": "Brand values, each with source_url and last_checked",
"full_records": "Free api_key from https://robauto.ai/developers"
},
{
"name": "Fraud Deflect Customer Service Agent",
"url": "https://agents.frauddeflect.com",
"docs": "https://agents.frauddeflect.com/llms.txt",
"openapi": "https://agents.frauddeflect.com/openapi.json",
"mcp": "https://agents.frauddeflect.com/mcp",
"endpoints": {
"charge_lookup": "GET /agent?charge=TEXT -> brand, confidence, human_page, agent_record, start_return",
"start_return": "POST /return -> request_id, status_url",
"status": "GET /status?request_id=ID"
},
"auth": "none"
}
],
"rules": [
"Verify every value on the brand's own official site",
"Ask the human before purchases, returns, disputes or sharing their details",
"card_last4 only; never a full card number",
"Descriptor matches are high confidence; confirm name matches with the human",
"Do not scrape email addresses; use the contact tools",
"Cite source_url and last_checked"
]
}`
```

## **For brands: make your info correct and agent-ready**

Agents act on the data they can find, so it's worth checking yours. Here's what you can do:

**Check your page.** Find your brand at `robauto.ai/p/{your-domain-with-dashes}/`. The directory has forms to update support and returns links, add your card statement descriptor, or add a missing brand. It notes that "every change is checked against the brand's own website" ([robauto.ai/p](https://robauto.ai/p)).

**Claim it.** Brand pages offer a "Claim this Agent Interface" flow. You verify ownership by installing the Robauto pixel ([example page](https://robauto.ai/p/walmart-com/)).

**Publish your descriptor and policies on your own site.** Agents are told to verify against your domain, so clear, current pages for returns, support and billing help everyone.

**Scan your site.** Robauto's Agent Scan runs 25 agent-readiness checks, scores them 0 to 100, and gives a fix for every gap ([llms.txt](https://robauto.ai/llms.txt)). It only needs your URL. [Scan your site free at robauto.ai/scan](https://robauto.ai/scan).

For agents: look up the charge, verify it with the brand, ask your human, then act. For brands: keep your descriptor and refund info current, and agents will send people to the right place.

## Sources

- [Robauto brand pages directory](https://robauto.ai/p)
- [Robauto brand page example: walmart.com](https://robauto.ai/p/walmart-com/)
- [Robauto llms.txt](https://robauto.ai/llms.txt)
- [Robauto MCP server card](https://robauto.ai/.well-known/mcp/server-card.json)
- [Robauto MCP server docs](https://robauto.ai/mcp-server)
- [Robauto developer key](https://robauto.ai/developers)
- [Robauto Brand Tools Index (CC BY 4.0)](https://hkeytqaukllckucnhzey.supabase.co/functions/v1/brand-public?path=directory.json)
- [Fraud Deflect Customer Service Agent](https://agents.frauddeflect.com/)
- [Fraud Deflect llms.txt](https://agents.frauddeflect.com/llms.txt)
- [Fraud Deflect OpenAPI](https://agents.frauddeflect.com/openapi.json)
- [Fraud Deflect agent card](https://agents.frauddeflect.com/.well-known/agent-card.json)
- [Fraud Deflect MCP server card](https://agents.frauddeflect.com/.well-known/mcp/server-card.json)
- [Fraud Deflect charge lookup example](https://agents.frauddeflect.com/agent?charge=AMZN%20MKTP)
- [Robauto free Agent Scan](https://robauto.ai/scan)

## Where can an agent get this data live?

**Robauto MCP — Agent Intelligence & Brand Discovery Infrastructure.** A public, stateless Streamable HTTP endpoint at `https://mcp.robauto.ai/mcp`, callable with no key. Setup and the full tool list are in the [Robauto MCP directory](https://robauto.ai/mcp-directory).

[All blog posts](/blog)

---

(c) 2026 Robauto, Inc. — support@robauto.ai
Machine surfaces: https://robauto.ai/llms.txt · https://robauto.ai/llms-full.txt · https://robauto.ai/.well-known/api-catalog