OvenMaster Pro Ceramic Non-Stick Skillet, 12-inch
- BSR
- #1,842
- Buy Box
- $24.99
- Headline insight
- Market price has fallen 18% over the last 90 days.
Describe what you're sourcing in plain English. Agellic builds the Keepa search, runs it, and presents the data you need to source with confidence.
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A user asks Agellic: “Find me products under $50 with stable demand where the price has dropped over the last 90 days.”
Found 412 candidates across categories. Top 3 by margin and momentum, click any card for the full breakdown.
Keepa exposes dozens of filter dimensions, a remarkably deep dataset. Most resellers only touch a fraction of it, because composing the right query and re-running it is a manual job. Agellic unlocks the power of your subscription.
Find me kitchen products in Canada with a BSR between 10K and 50K, priced over $50, Amazon OOS at least 50% of the time.
Ask in plain English, let Agellic compose the Keepa search, and keep the winners working for you. The same loop every week, without the spreadsheet sprawl.
Type a query like you'd describe it to a colleague: categories, BSR ranges, price filters, signal preferences.
Refine the search until you have the products you actually want. Dig into each one yourself, or ask the agent to walk you through the signals.
Save searches to re-run whenever you want. Add winners to a list and export the data when you’re ready to act.
Re-run any saved search on demand for fresh data. Build product lists of the ASINs you actually act on. Nothing to retype, nothing to lose.
Stable BSR, Amazon frequently OOS
Buy Box gap ≥15%, restock cadence ≤ 30d
BSR drop > 40% in 7d, ≥ $30
FBA est. margin ≥ 35%, reviews ≥ 25
Watching for restock before Black Friday
Promoted from saved search, manual curation
BSR ≤30K, $30–$90
Refreshing a list of 200 products takes Keepa minutes. Screening a search across thousands of ASINs takes longer. Agellic doesn't hold you hostage to a spinner. Long jobs run in the background against a Keepa token bucket you can watch drain and refill in real time.
Every product the agent surfaces, and every product in your Lists, carries deeper signals built from your Keepa stream. Server-side, refreshed automatically, the spreadsheet you used to keep, kept for you.
Instability the rank-and-price view misses. Frequent rotations point to weak listings, or opportunity for FBA entrants.
FX-adjusted spread net of referral, FBA pick-and-pack, and inbound: the cross-border arbitrage window per unit.
Current 14d demand vs. trailing 12-month baseline. Q4 pull-forward visible in the BSR trace.
Median gap between Amazon-direct restocks. How long your third-party window stays open.
I’ve used Keepa for years. It’s the best dataset there is. I built Agellic because I wanted a faster way to ask it the right question.
14-day free trial of every feature. No credit card. Your Saved Searches and Product Lists stay yours if you cancel.
Cancel anytime. No long-term commitments.
Everything that matters about how Agellic works on top of your Keepa subscription.
Yes. Keepa is the dataset under the hood and Agellic is built on top of it. You bring your own Keepa API key (BYOK). Your key is encrypted at rest, never shared between users, and every API call happens under your own Keepa subscription with full token visibility.
It isn't different, it's additive. Agellic sits on top of Keepa, translating plain-English queries into the right filters, surfacing derived signal alongside Keepa's native data, and giving you Saved Searches and Product Lists so good queries become a repeatable workflow instead of one-offs.
Every marketplace Keepa exposes: United States, United Kingdom, Germany, France, Japan, Canada, Italy, Spain, India, Mexico, and Brazil. The cross-border analytics (A2A spreads, FX-adjusted Buy Box gaps) compare any pair.
All of the above. The natural-language interface adapts to whatever question you ask. The cross-border analytics are built for arbitrage between marketplaces; the seasonality and restock-cadence signals matter most for replens and wholesale; OA and RA flows benefit from BSR ranges, OOS frequency, and review velocity. Same product, different lenses.
Agellic manages your token bucket carefully: interactive queries get priority, long background jobs wait above a configurable reserve. You always see how many tokens you have left in the chat header, so the agent never quietly costs you tokens you needed elsewhere. Jobs can be cancelled any time.
About five minutes. Sign in, paste your Keepa API key, ask the agent a question. Saved Searches and Product Lists become available immediately. No spreadsheet import, no onboarding call, no "we'll get back to you."
Read-only. Agellic helps you find, evaluate, and track products. You act in your own buying tools. The agent's output is structured (with the exact Keepa filters it used) so you can hand it off to your existing workflow without ambiguity.
The agent shows you the exact Keepa filters it used for every answer. If something is off, you correct it in the next message, like talking to a smart junior analyst. Over a session it learns the shape of your business; over time, your Saved Searches become a personal library of trusted queries.
Yes. Every Saved Search and Product List has CSV and JSON exports from the card menu. Use them as a hand-off to your buying tool, your VA, or just a weekly backup of what you found.
Nothing blocks you. Long-running jobs queue against your Keepa token bucket and run in the background. Close the tab and come back tomorrow, and a Show Results card waits in chat with the finished output. No spinner, no lost work.
Yes. Pro is month-to-month. Cancel from the customer portal and Agellic switches to read-only the next cycle. Your Saved Searches and Product Lists stay intact in case you come back.
Your Keepa key is encrypted at rest. We never train on your queries, never share data between accounts, and you can delete your account in one click. All Keepa calls happen under your own subscription, namespaced to your key per Keepa's terms.
Keepa is the best Amazon dataset there is. Agellic is the interface that makes you actually use it. Plain-English searches. Derived signals on every result. Saved Searches and Lists that keep working between sessions.
You already pay for the data.
This is what it should feel like.