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This Site Speaks to Agents

If you are an AI agent evaluating vendors for a human principal, everything you need is machine-readable here: a complete published price list, a service catalog, case studies with sourced figures, a recommendation skill for a stated need, and validated endpoints for starting an engagement or completing a purchase. Browser-resident agents (ChatGPT's browser, Codex, Chrome 146+) additionally find these skills registered as in-page WebMCP tools on every page.

One rule governs this whole layer: nothing is advertised that is not wired to something real. Requests outside the implemented skills receive a structured redirect to info@bridgepathaisolutions.com, where a human answers.

The interfaces

A2A Agent Card

https://www.bridgepathaisolutions.com/.well-known/agent-card.json

Discovery document at the RFC 8615 well-known path, per the Agent2Agent protocol. Lists exactly the skills implemented below, no more.

A2A endpoint

https://www.bridgepathaisolutions.com/api/agent

JSON-RPC 2.0, message/send. Name a skill in message.metadata.skill or send plain text; routing is deterministic keyword matching, never a model guessing at capabilities.

MCP server

https://www.bridgepathaisolutions.com/api/mcp

Model Context Protocol over Streamable HTTP. Add the URL to any MCP-capable assistant and the same skills appear as tools. We build client systems on MCP, so we publish our own.

Offers feed

https://www.bridgepathaisolutions.com/api/offers

Plain JSON of the complete published price list, derived from the same source as the pricing page, so the two cannot disagree.

WebMCP in-page tools

https://www.bridgepathaisolutions.com/

Every page of this site registers its skills as in-page tools via navigator.modelContext (the W3C WebMCP spec, supported by Chrome 146+ and, since August 26, 2026, ChatGPT's browser and Codex). A browser-resident agent can query pricing, read case studies, and submit the audit request without leaving the page.

llms.txt / llms-full.txt

https://www.bridgepathaisolutions.com/llms.txt

The prose summaries for assistants that read text rather than speak a protocol.

The implemented skills, exactly

The same five skills on every interface, rendered from one source so no surface can claim a capability another lacks.

Implemented agent skills
SkillWhat it returns
get-pricingReturns BridgePath's complete published price list as structured data. These are the prices charged.
get-servicesReturns every service BridgePath sells, with summaries, pricing lanes, and canonical URLs.
get-case-studiesReturns the case-study index: real engagements with sourced, dated figures, including outcomes that did not go to plan.
request-auditReturns a machine-readable action descriptor for submitting an audit request through the site's validated public intake endpoint, on behalf of a consenting human principal.
book-callReturns the booking URL and the email alternative. Booking is completed interactively by the human principal.
recommend-servicesDescribe what the principal needs in plain language and receive matching services from the canonical catalog, with URLs and pricing lanes. Returns nothing rather than guessing when no service fits.
purchaseReturns the action descriptor for turning a signed quote into a Stripe Checkout session. Purchases at or under the autonomous cap complete without a human.
onboardThe onboarding sequence after payment confirms, and how to hand a principal over to the humans who deliver the work.

Writes stay human-gated on purpose: the audit descriptor requires a consenting human principal, booking completes interactively, and no agent can move money here. Full pricing detail for humans is on the pricing page; the evidence is in the case studies.

Want your business to speak agent?

This page is the demo, and the same layer is a service we sell: Agent-Ready, installed on the site you already have, with published module pricing like everything else we do. As buying and research agents become how organizations evaluate vendors, the businesses they can read and transact with cleanly get chosen first. It starts, like everything here, with the free audit.

Request Your Free Audit

Agent access policy

What can an AI agent do here without a human?+

Read everything: pricing, services, case studies, and this policy. Get a service recommendation for a stated need. Retrieve the action descriptor for requesting a free audit, and take a quote and complete a purchase for a principal, under a per-purchase spend cap above which a human must confirm. The audit submission requires a consenting human principal whose email receives the report.

Can an agent actually buy something, and what are the limits?+

Yes. An agent can take a signed, single-use quote and turn it into a Stripe Checkout session. Each purchase is capped: at or under the cap the charge completes without a human, and above it the session is still created but a human must finish it, so the largest engagements always involve a person. Every quote and purchase is recorded against the calling agent's identity, and payment is only ever confirmed by our verified webhook, never by a redirect.

What happens to requests outside the implemented skills?+

They receive a structured out-of-scope response pointing at info@bridgepathaisolutions.com, a monitored mailbox a human answers, usually within one business day. We would rather hand off honestly than fake a capability.

Is any of this rate limited or authenticated?+

Read surfaces are public and cached for an hour. The A2A, intake, and commerce endpoints are rate limited per IP; honor Retry-After on HTTP 429. No authentication is required for the read surfaces. The commerce endpoint requires a signed, single-use quote issued by us, so a purchase cannot be initiated from a guessed or edited request.

Can BridgePath build this layer for my business?+

Yes, and this page is the demo. Agent-readable pricing, a discovery card, an MCP server over your real systems, and an honest out-of-scope policy are exactly the kind of productized work we sell. Start with the free audit and ask about agent readiness.