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

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, the brand pages, and 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/. The directory page 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 describes the same layout.

agents.frauddeflect.com is the agent-facing customer service site. Its 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.

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 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 calls the human view.

2. For data, connect to the Robauto MCP server at https://mcp.robauto.ai. It uses Streamable HTTP and needs no login, according to its server card. 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).

3. Full brand records need a free developer key from robauto.ai/developers. The key gives 100 records a day free, then pay per record, according to 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 (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 or on mcp.robauto.ai. When we sent "AMZN MKTP", 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 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).

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). Over REST, POST /return returns a request_id and status_url (OpenAPI).

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).

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).

Don't scrape emails. Use the tools built for contact routes, and never guess contact details (directory guidance).

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

Task-to-surface map

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).

Claim it. Brand pages offer a "Claim this Agent Interface" flow. You verify ownership by installing the Robauto pixel (example page).

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). It only needs your URL. Scan your site free at 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
• Robauto brand page example: walmart.com
• Robauto llms.txt
• Robauto MCP server card
• Robauto MCP server docs
• Robauto developer key
• Robauto Brand Tools Index (CC BY 4.0)
• Fraud Deflect Customer Service Agent
• Fraud Deflect llms.txt
• Fraud Deflect OpenAPI
• Fraud Deflect agent card
• Fraud Deflect MCP server card
• Fraud Deflect charge lookup example
• Robauto free Agent 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.

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