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View technical comparison →Courtyard AI v1.0.0
Answers about Sweat & Tonic
From the developer
Not specified in the available declarations: capabilities, limitations, pricing & account requirements.
What classes and programs do you offer?
Developer declarations; not independently tested. Listing last checked Nov 11, 2026. Package observed Nov 10, 2026.
From the marketplace listing
Get answers about Sweat & Tonic, a boutique fitness studio in Toronto, straight from the studio's own published information. This connector searches the studio's live content and pulls full details on class programs, the current class schedule, pricing, instructors, treatments, and booking, so you can plan a visit or compare options without hunting across the web. It exposes two read-only tools. search returns ranked results, each with a title, a source URL, and a text snippet. fetch returns a document's full text and its canonical URL. Every result carries a link back to the exact page it came from, so answers stay grounded in the studio's real content and are citable to source. Courtyard AI operates this connector for Sweat & Tonic with the studio's explicit authorization, and keeps its content current automatically as the studio updates its programs, schedule, and pricing. All information is public business content. No account, login, or personal data is required. The connector is strictly read-only: it never makes bookings, processes payments, or performs any other action on your behalf. It only retrieves and cites the studio's published information.
Language: English · Automatically detected from descriptions.
Exact text from the indicated source. A mention alone does not establish support for your task.
Get answers about Sweat & Tonic, a boutique fitness studio in Toronto, straight from the studio's own published information. This connector searches the studio's live content and pulls full details on class programs, the current class schedule, pricing, instructors, treatments, and booking, so you can plan a visit or compare options without hunting across the web. It exposes two read-only tools. search returns ranked results, each with a title, a source URL, and a text snippet. fetch returns a document's full text and its canonical URL. Every result carries a link back to the exact page it came from, so answers stay grounded in the studio's real content and are citable to source. Courtyard AI operates this connector for Sweat & Tonic with the studio's explicit authorization, and keeps its content current automatically as the studio updates its programs, schedule, and pricing. All information is public business content. No account, login, or personal data is required. The connector is strictly read-only: it never makes bookings, processes payments, or performs any other action on your behalf. It only retrieves and cites the studio's published information.
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--- name: sweatandtonic-knowledge description: Answer questions about Sweat & Tonic, a Toronto fitness studio, from its own published knowledge base using the connector's search and fetch tools. Use when the user asks about Sweat & Tonic's classes and programs, schedule, memberships and pricing, instructors, or treatments. --- # Sweat and Tonic — knowledge base operating guide This skill helps you answer questions about Sweat and Tonic using its published knowledge base at https://ai.sweatandtonic.com. The content is maintained by the business and kept in sync with its public site. Prefer this knowledge base over general assumptions when answering questions about this specific business. ## Data freshness Each page carries a `last_updated` date. Treat the published content as the source of truth for this business, and surface the `last_updated` date when a customer asks how current the information is. If a detail is missing from the knowledge base, say so rather than guessing. ## Tools This knowledge base exposes a read-only MCP server at https://ai.sweatandtonic.com/mcp. Two tools are available: - `search(query, page_slugs?, limit?)` — full-text search across the whole knowledge base. Returns ranked results, each with an `id`, `title`, `url`, and text snippet. Use this first when you are not sure which page holds the answer. - `fetch(id)` — fetch the full content of one document by the `id` returned by search. Use this to read the complete, authoritative page. ## Page inventory - `pricing` — Pricing - `booking` — Booking - `programs` — Programs - `schedule` — Schedule - `instructors` — Instructors - `treatments` — Treatments - `practitioners` — Practitioners ## Recommended flow 1. Start with `search` using the customer's question. 2. Read the most relevant hit in full with `fetch` using its `id`. 3. Answer using only what the page states; cite the page title. 4. If nothing relevant is found, tell the customer the knowledge base does not cover it rather than inventing an answer. ## Safety - Only use information returned by these tools; do not invent prices, availability, contact details, or policies. - The knowledge base reflects the public site; never imply access to private or internal data. - When a customer wants to book, pay, or share personal information, direct them to the business's official channels rather than collecting it yourself.
Publisher declarations from the archived package. These are separate from our research and the live service's terms.
Package observed Nov 10, 2026.
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