AI Agents Are Buying for Your Customers. Are You Ready?

haggl.ai is the negotiation layer for the agentic web. AI agents are already shopping for your customers — browsing, comparing, and making purchasing decisions autonomously. You install a single script tag and describe your business: who your most valuable customers are and your published prices. From that moment, an AI negotiator represents you in every session an agent opens. The buyer’s agent gets a personalized deal for its user, backed by verified evidence. You get a customer you chose to win, at a discount you authorized.

A frontier-model AI agent, briefed with your business description, your published prices, and your customer segments. It negotiates each session with judgment — weighing the evidence an agent presents, countering, asking for more — rather than running a rules engine. Code enforces exactly one hard limit: the maximum discount you set per segment. The negotiator can be creative below that ceiling; it can never cross it.

A buyer agent discovers your negotiation endpoint and fetches it. The response documents the whole protocol: your customer segments, the request schema, and how negotiation works — agents learn everything from the API itself. The agent makes a free opening offer with self-reported data, then strengthens its case with evidence: real emails from its user’s inbox, submitted with the user’s consent. haggl.ai verifies each email’s origin cryptographically before your negotiator prices the next offer. When both sides agree, the agent receives a personalized checkout or signup link. Every step is structured and fully logged.

Buyer agents submit real emails — receipts, bills, contracts — in raw form. haggl.ai checks each one against its sender’s cryptographic signature (DKIM), proving the message genuinely came from the domain it claims. Forged or tampered evidence fails the check and caps the discount. After verification, content is reduced to a hash: haggl.ai never stores your customers’ email content, and your negotiator never sees raw messages — only verified facts.

Agents discover you three ways: a machine-readable meta tag the embed injects into your page, WebMCP tools registered in the browser, and haggl.ai’s MCP server. No buyer-side install is needed — the endpoint documents itself in plain language written for an LLM to parse. In our own August 2026 testing on production consumer apps, ChatGPT, Claude, and Grok all detected the negotiation capability on a demo vendor’s site and completed real negotiations; Gemini did not yet surface it. As agentic shopping grows, haggl-enabled pages are the ones agents can actually do business with.

Because negotiating costs agents nothing and consistently produces better outcomes for their users. Unlike humans — who find negotiation awkward, slow, or uncertain — agents don’t hesitate. The protocol makes the first move free: an opening offer on self-reported data shares nothing personal and always returns a real quote. In our testing, agents that found the endpoint negotiated verified discounts of 6–7% on a demo electricity tariff, while the agent that missed it left its user paying list price.

One script tag on your site, then describe your business in the dashboard: who your valuable customer segments are, the maximum discount each is worth, and your published prices. That’s the entire setup — no SDK, no backend changes, no pricing engine to build. Your AI negotiator is live the moment you finish, typically well under fifteen minutes.

Every plan starts free: your first 50 negotiations each month cost nothing, no credit card required. Paid plans scale with volume — Starter at $49/month (300 negotiations), Growth at $149/month (1,000), and Pro at $399/month (5,000). Enterprise pricing for high-volume or custom deployments is available on request.

The customer asks their AI agent to find the best deal. The agent discovers your endpoint, negotiates autonomously, and — before sharing anything personal — asks its user for consent, often with an explicit yes/no prompt. Then it returns with a confirmed offer and a personalized link. No form, no sales call. From the customer’s perspective, their agent went shopping and came back with something better than the listed price.

Yes — consent is a designed moment in the protocol, not fine print. The opening offer uses only self-reported data, so nothing personal is needed to start. When evidence would improve the deal, the agent asks its user before submitting anything, and you see nothing until the user says yes. Even then, haggl.ai verifies the evidence and stores only cryptographic hashes — never the underlying emails.

Verified facts about who the customer is, plus the full negotiation record. Your segments should describe lifetime value — how long a customer stays, how their spend grows, how easy they are to serve, whether they refer others — because that’s what the discount is buying. The segments are your discount-authorization framework: agents proving high-LTV fit unlock deeper discounts; everyone else gets a thinner one. Purchase intent isn’t the question — the agent is already at the table.

Every negotiation is logged in your haggl dashboard with the verified submission, the offer history, and the outcome. You can also configure a webhook to push structured lead data to your CRM or sales system in real time. No manual export required.

Agents see only what the protocol publishes: your public segment descriptions, the maximum discount each authorizes, and the prices you’ve chosen to publish. Your private strategy notes — why a segment matters, how you think about its value — never leave the server, and your negotiator quotes only figures written in your brief.

ACP (OpenAI + Stripe) and UCP (Google, Shopify, Walmart) handle product discovery and checkout — they answer “what do you sell?” and “how do I pay?” haggl.ai handles the step neither protocol covers: negotiation. It answers “what deal can I get based on who I am?” The three are complementary — many vendors will run ACP or UCP for discovery and checkout, with haggl setting the personalized price in between.

Agentic commerce is commerce where AI agents act on a user’s behalf to find, negotiate, and close deals — without human intervention. Instead of customers manually comparing prices, a customer’s agent discovers your haggl negotiation endpoint, proves who its user is with verified evidence, negotiates a personalized offer, and brings back the deal. Vendors compete on how well they price value, not on manual sales calls.

zkTLS will let an agent cryptographically prove that data came from a specific source — a utility portal, a cloud billing dashboard, a SaaS admin panel — without exposing the raw content. It extends haggl.ai’s verified-evidence model beyond the inbox: today origin is proven with cryptographic email-signature checks (DKIM), live in production; zkTLS adds first-party portals next. Support is coming in an upcoming release.