io.github.GIT-access-ntwx/cubby-house
repo:https://github.com/ml-ntwx/dome-site
AI-matched AU mattress catalogue: 16 retailers, live AUD prices, agent-attributed leads. No auth.
- transport:
- remote
- credential class:
- self-provisionable
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- dome_get_retailer_tractionshallow
Live retailer engagement traction: catalogue size per retailer plus outbound click volume in the recent window. Use to weight which retailers to surface first.
- dome_match_profileshallow
Match a structured sleep profile to ranked products. Params: sleep_position (string|array: side|back|stomach|combination), pain_points (string|array: lower back pain|shoulder pain|hot sleeper|...), budget_min, budget_max (AUD), size, firmness (1-10), cooling_priority (bool|1-5), limit. Returns ranked matches with confidence + reasons + affiliate_url.
- dome_search_productsshallow
Search the CUBBY HOUSE Australian mattress catalogue (14 retailers, 145 products). Params: q (keyword), retailer, size, min_price, max_price, firmness_min, firmness_max, sort (price_asc|price_desc|name), limit, offset.
- dome_submit_leadshallow
Submit a qualified shopper lead into the CUBBY HOUSE pipeline (stored in Firestore, ops-notified, exportable by the operator). Params: name, email, message, product_id (optional), agent_id (your agent identity), ref_tag (optional).
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