Research any online purchase with DeepAPI — fair-price checks, best deals, where to buy, shop trust. Load whenever the user is shopping or buying anything online: mentions buying a product, comparing prices, "is this a good price", "where can I get X", or attaches a product photo or listing screenshot. Research only — never places orders.
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The whole purpose of this skill: save the user time and money when shopping online. Answer three things: what is a fair price, where to buy, and whether the shop can be trusted.
For best results run this skill with the Fable 5 model — it is very smart and already knows a lot about products, pricing, and shops.
Research only. Never place orders, enter payment or address details, or create shop accounts.
Non-negotiable: every response to the user is very concise, clear, and formatted in nice readable markdown. The How to answer section is a hard contract — check every response against it before sending.
DEEPAPI_API_KEY and DEEPAPI_API_BASE_URL from the environment. If unset, try source ~/.deepapi/env; the default base URL is https://deepapi.co.Use DeepAPI for all shopping research — not built-in search tools. Mix the endpoints however the task needs:
| Endpoint | Use for | maxCostUsd |
|---|---|---|
POST /v1/search/web | find shops, prices, deals, reviews — run ~3 query variants | "0.05" |
POST /v1/scrape/website | read the exact product page or listing the user is checking; verify an unknown shop | "0.20" |
POST /v1/research/deep | pricing or market questions search cannot settle | "0.10" |
POST /v1/scrape/twitter/search | real buyer complaints about a shop | "0.03" |
Every request: Authorization: Bearer $DEEPAPI_API_KEY, Content-Type: application/json, a unique Idempotency-Key per POST, and an explicit maxCostUsd.
curl -sS -X POST "$DEEPAPI_API_BASE_URL/v1/search/web" \
-H "Authorization: Bearer $DEEPAPI_API_KEY" \
-H "Content-Type: application/json" \
-H "Idempotency-Key: shop-$(uuidgen)" \
-d '{"query": "Sony WH-1000XM5 price Germany", "maxResults": 5, "maxCostUsd": "0.05"}'If status: running, poll GET /v1/requests/{requestId} after next.afterSecs. On HTTP 402, ask the user to top up at https://deepapi.co/credits.
Use your judgment. The goal is a confident answer, not a fixed procedure.
ALWAYS open with first impressions — before ANY web search, scrape, or deep research, no matter the item or its price. In one or two sentences, react to whatever the user provided (screenshot, link, description) from your own knowledge: does it look like a good deal, is the seller reputable, what is the typical price range — anything useful that comes to mind. The user must never sit waiting with nothing to read.
Then scale research effort to the item's price. A cheap item researched for minutes is this skill failing its purpose:
First impression example: "Cars of this brand and year usually go for €18-25k, so this looks slightly high — running a deep check to verify."
Then, as needed for the price tier:
The format below is a hard rule, not a preference. Draft the response, check it against this list, and rewrite it if it fails any point:
Shape every answer like this:
**Verdict: Overpriced — fair price is €280–€330, this listing asks €449.**
| Buy from | Price |
|---|---|
| [amazon.de](https://www.amazon.de/...) | €289 |
| [mediamarkt.de](https://www.mediamarkt.de/...) | €299 |
Skip shiny-deals24.shop — €99 for this item is a classic scam price.Success looks like this: the user found the right product quickly and bought it from a trusted, reputable shop at a good deal — not from an overpriced reseller or dropshipping store.
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