FYNDL / MACHINE

Good finds. Clear data.

Let your AI compare refurbished offers. Start with a prompt, read structured data, and trace every recommendation to its source.

Or select the text below.

Use Fyndl to find and compare refurbished offers for my buying request.
First read https://fyndl.online/llms.txt and https://api.remtio.com/openapi.json.
Ask for my device, budget and requirements if missing.
Search: GET https://api.remtio.com/v1/search?q=<URL-encoded buying request>.
Catalog: GET https://api.remtio.com/v1/offers?category=<key>&page=1&pageSize=20.
Category keys: macbook, iphone, ipad, smartwatch, monitor, desktop.
Use category keys, not URL slugs. Follow pagination; q and limit are ignored on /v1/offers.
Offer details: GET https://api.remtio.com/v1/offers/<offerId>.
Compare price, condition, seller and warranty only when supported by returned data.
Cite the canonical Fyndl offer page from https://fyndl.online/angebot/<offerId> (follow its redirect).
Refresh offer details before recommending; explain missing data and unavailable offers.
Never invent prices, availability or savings. If access fails, report it clearly.
Purchase links are /out/<offerId>; they are affiliate links, not citation URLs.
Public JSON needs no key. MCP at https://api.remtio.com/mcp requires OAuth in closed beta.
Do not purchase or submit personal data without my explicit instruction.

02 / DIRECT ACCESS