Neonjelly

List new and removed SKUs plus bestseller enter/exit. Filter by storeDomain or productType when the user names a shop or category.

Return a one-page TAM brief: vertical size, geos, movers, and an optional filtered cohort from 1.37M stores. Pass a vertical; quote catalog counts only — do not invent TAM.

Return a full change board: unified feed, all 8 product change types, 5 store change types, and Signals SKU changes if watched. Prefer this over calling each change tool separately.

Roll a filtered store cohort into a groupBy table (country, vertical, industry, category). This is not the unfiltered get_countries TAM — use that when no filters apply.

Compare 2–8 store app stacks: shared vs exclusive apps, tagged by role (email, support, reviews, subs, ads). Pass hostnames, not brand names.

Compare 2–8 store cards side by side (traffic, revenue band, apps, rating). Missing domains land in notFound — do not invent the missing rows.

List catalog store and SKU changes plus vertical movers for one competitor domain. Ads and daily units need a paid Signals watch — do not offer create_signal on trial.

Paid plans only (trial 403). Create a Signals watch on a competitor domain for ads, units, inventory, and social. Tight watch cap; meters the key. No probe, no scrape.

Build an IC memo for one domain: card, growth, traffic, stack roles, bestsellers, changes, and contacts. Includes Signals stats only if that domain is already watched.

Filter the 1.37M-store catalog, hydrate each row, and keep stores that have an email or Instagram. Caps at 10 (each costs a call) — country is a filter, not a login region.

Find stores in the same vertical, country, and visit band as a target domain, then compare cards. Call resolve_store first if you only have a brand name.

Return catalog coverage: store/SKU counts, averages, top verticals and countries. Quote these snapshot figures only — do not invent traffic totals.

Return one Shopify app plus an install-base sample. Copy slug from search_apps, then get_app_stores for the merchant list.

List merchants observed running a Shopify app, sorted by visits. Use for “who uses Klaviyo?” store lists — country filters live on search_stores, not here.

Return the unified store + product movement feed. Prefer change_tracker when the user wants every change type on one board.

Return emails, social URLs, and ESP/support app tells for one store. No phone or owner names in this catalog — pass domain or q.

Return unfiltered geo TAM (store counts by country). Pass vertical to slice one market; a filtered cohort belongs on search_stores groupBy=country.

Same playbook map as list_playbooks (VC, competitor, dropship, outreach). Prefer list_playbooks on new sessions.

List stores growing or shrinking on visits or modeled revenue. Defaults: metric/direction any, minPct 5. Quote catalog movers only.

Return one SKU by store domain plus Shopify handle. Use get_store_products or product_search when you do not yet have the handle.

List price, new, removed, position, and bestseller SKU movements. Filter by storeDomain or productType; default noise floor is minPriceChangePct.

Return the saturation report for one product idea. Copy id from search_product_ideas or niche_research — do not invent seller counts.

Paid plans only (trial 403). Return one signal card. id is a Mongo id or a domain already on Signals.

Paid plans only (trial 403). Return the ad library or a slice (overview default). No probe — domain must already be on Signals.

Paid plans only (trial 403). Return apps observed on a tracked store. Set changes=true for app change history.

Paid plans only (trial 403). Return the insight feed for one watched domain. Prefer this over list_signal_insights.

Paid plans only (trial 403). Return the stock timeline for a watched store. Domain must already be on Signals.

Paid plans only (trial 403). Return product movements on a tracked store. Catalog-wide SKU moves use get_product_changes.

Paid plans only (trial 403). Return daily units and variants. Needs ≥2 inventory snapshots on the watch — do not invent unit counts.

Paid plans only (trial 403). Return follower snapshots for a watched store. Domain must already be on Signals.

Paid plans only (trial 403). Return totals plus store profile for a signal. Domain must already be on Signals.

Return one merchant card: traffic, modeled revenue, rating, apps, and socials. Call resolve_store first if you only have a brand name — missing domains stay not_found.

List Shopify apps detected on one merchant. Use compare_stacks when the user wants shared vs exclusive apps across several domains.

List observation diffs for one store: revenue, visits, products, rating, apps. For a mixed product+store board, prefer change_tracker.

Return daily snapshots: visits, revenue band, rating, and product counts, up to 365 days. Use for growth charts after get_store.

List SKUs for one merchant with price, vendor, type, and bestseller filters. Prefer this over global search_products when you already have a domain.

Return monthly visits and channel mix for one store. Use after get_store when the user asks how traffic is trending.

Return catalog health JSON and whether auth is required. Use when a lookup fails unexpectedly — not for store research.

Return market size by vertical (store counts and averages). Pass countryCode to slice one geo — for a filtered cohort, use search_stores with groupBy=vertical.

List composed-tool playbooks by job: store lists, VC, competitor, dropship, outreach, merch. Start here when the user has not named a tool — then call the playbook's first tool.

List stores selling a product idea, sorted by traffic or price. Copy id from search_product_ideas — this is who-sells-this, not a single merchant SKU list.

Paid plans only (trial 403). Account-wide insight feed — often empty unless the key owns watches. Prefer get_signal_insights with a domain already on Signals.

Paid plans only (trial 403). List Signals watches stored on this Neonjelly key. Then GET a domain that is already on Signals — do not advertise this on trial.

Run semantic product-idea search plus a saturation report and the stores that sell the top hit. q is a product name or category, not a domain — quote seller count and the UNTAPPED→SATURATED verdict.

Find product-vendor overlap and the average price gap between two stores. Use after compare_stacks when you need shared suppliers, not shared apps.

List price decreases and increases across stores or one merchant. Default minPriceChangePct is 10 — raise it to cut noise.

Build one SKU memo: card, discount vs compare-at, store, SKU change history, and store bestsellers. Pass domain+handle, or q to resolve first.

Search cross-store SKUs and return rows plus facets (vendors, types, stores, price band). At least one filter is required. For saturation / who-sells-this-idea, use niche_research.

Resolve a brand name or URL against 1.37M Shopify storefronts and return up to 5 candidates. On a single hit, also return the full store card — call this before inventing a domain; missing stores stay not_found.

List dropship-flagged stores in a vertical/geo plus their cheapest SKUs. Country is a filter, not a login region — quote the catalog flag, do not invent supplier names.