Uneed

Search products

Use this when the user is looking for a digital tool or product by need, keyword or name. Searches uneed.best's directory of thousands of tools (SaaS, AI, dev, design, marketing...) with full-text and typo-tolerant matching over names, descriptions and tags. Results are ordered by relevance and popularity only — paid placement never affects the order here. `premium: true` on a result means that product pays for featured placement on the Uneed website; surface it as a disclosure, not as a quality

Get product details

Use this when you have a product slug and need its full public profile on uneed.best: description, website URL, category, tags, pricing, open source status (`open_source` / `repo_url`), launch date, community stats (votes, rating, review count), Ahrefs Domain Rating (`domain_rating`, 0-100, null if not measured yet), active promo deals and social links. `premium: true` means the product currently pays for featured placement on the Uneed website — treat it as a disclosure, not a quality signal. `

Find alternatives

Use this when the user wants alternatives or competitors to a product listed on uneed.best. Alternatives are ranked by weighted tag overlap (rare, specific shared tags count more than broad ones) — the same signal that powers Uneed's alternatives pages — and each result carries the shared tags explaining WHY it is an alternative. Paid placement does not affect this ranking. Use get_product on a result's slug for details and deals.

Get product reviews

Use this when the user wants to read what real users say about a product on uneed.best — the individual community reviews (testimonials) with their star rating. Each entry has `rate` (1-5, may be null), the `review` text, the public `author_username`, `like_count` and `created_at`. Only published, top-level reviews are returned — replies and any private user data are excluded. For just the aggregates (average rating and review count) use get_product's `stats`, which also carries a 3-review previ

Community rankings

Use this when the user asks what is trending, popular or winning on uneed.best. Returns the community-voted rankings for a period: 'daily' | 'weekly' | 'monthly' | 'yearly'. Rankings cover products LAUNCHED in the period, ordered purely by summed community vote value — paid placement is not a factor; weeks are ISO weeks (Monday-Sunday) anchored to America/Los_Angeles, the launch timezone. Pass date (YYYY-MM-DD) to get the period containing that date (e.g. a past week's winners); omit it for the

Recent launches

Use this when the user asks what is new or what launched recently. Lists the most recent product launches on uneed.best, newest first, optionally filtered by category (slug or name, see list_categories) and/or tag slug. Ordered strictly by launch date — paid placement is not a factor. Combine with get_trending to know which of them the community voted up.

Active deals

Use this when the user asks about discounts, promo codes or deals on digital products. Lists the active offers published by makers on uneed.best, each attached to the product it applies to (name, slug, URL, category). Optionally filter by category. Use get_product on a deal's slug for the full product profile.

List categories

Use this when you need the valid category values before filtering, or when the user asks what Uneed covers. Lists uneed.best's product categories with their slug, description and number of listed products. Feed the slug or name to the get_recent_launches and list_deals filters.

Search Uneed products

Use this when a deep research run needs to look up digital tools and products on uneed.best. Same catalog and same relevance ordering as search_products, returned as `{id, title, url}` documents; pass a result's id to `fetch` for the full profile. Prefer search_products when you want structured product fields directly.

Fetch a Uneed product

Use this to retrieve the full uneed.best profile of a product returned by `search`, by its id (the product slug). Same data as get_product, wrapped in the `{id, title, text, url}` document shape deep research expects.