3 steps · 鹦鹉AI
Keyword volume checker: expand a seed, price the demand, read the seasonality
Give your agent a seed keyword and get back the related terms, their monthly volume, CPC, competition and a 12-month trend, plus a spend split by volume share. 3 steps through 鹦鹉AI, with the price printed before each.
One prepaid balance · no per-tool signup · no card
Try it
One prompt runs the whole thing
Set your agent up, once
set up data capabilities — https://parrot.amorist.cn/llms.txt
Then ask for it
Using 鹦鹉AI, expand 'protein powder' into 50 related keywords, then get Google search volume, CPC and competition for all of them in one batch, and the 12-month trend for the top 5. Show me the price before each call. Give me a CSV with keyword, monthly_volume, cpc_usd, competition, q4_vs_rest_pct and suggested_spend_pct by volume share.
Expand first, then price
One ideas call turns a seed into a list; one volume call prices the whole list. Two calls, not fifty.
Batch the volume lookup
The volume route bills per request, not per keyword, so 50 keywords cost the same as one.
Ask for the trend on the head terms only
The trend route takes five keywords per call. Spend it on the terms that carry the volume.
Own-asset note
If you connect a Google Ads account, the same volume and ideas calls run on your own quota at no metered cost.
The steps
What 鹦鹉 AI calls, and what each call costs
Prices come from the catalog's own rate book, read when this page loads, on one prepaid balance.
| # | Step | What the agent asks | Price |
|---|---|---|---|
| 1 | Expand the seedBilled per request plus a small amount per keyword returned. Set the limit; the default is 100. | related keywords with volume, CPC and difficulty | 8.4 credits+/call |
| 2 | Price the list in one batchOne flat request covers up to 1,000 keywords. Never loop this route. | monthly volume, CPC, competition and 12 monthly figures per keyword | 63 credits/call |
| 3 | Read the trendThe run asked 鹦鹉AI's routed trends endpoint, which picks the cheapest tool with your own keys first; this is the child that served. | interest over time for up to five keywords | 0.84 credits/call |
At the rates above, 50 rows where every call hits comes to 72.24 credits. The receipt below is what it actually cost.
The receipt
What it actually cost, in credits
Run on 2026-09-14, 50 keywords in.
- Seed expanded
- 'protein powder' to 50 related keywords, one call, depth 2
- Volume priced
- 50 of 50 keywords returned volume in one batch call
- Demand found
- 742,970 monthly searches across the list; the head term is 368,000
- Trend read
- top 5 keywords, served by DataForSEO Trends
- Total metered
- 77 credits: 12.60 credits ideas, 63 credits volume, 0.84 credits trend
Three calls, three receipts. The ideas call billed its request fee plus a fraction of a cent per keyword returned; the volume call billed one flat fee for the whole batch, which is why the table's per-row price is misleading for it; the trend call was routed and settled at the child's rate. The head term's Q4 volume runs 29% below the rest of the year, so the seasonality column matters for this niche.
Questions
Before you start
What does a 50-keyword run cost?
This run: 77 credits total. 12.60 credits for ideas, 63 credits for the volume batch, 0.84 credits for the trend. The volume call is a flat fee per request, so the list length barely moves the bill.
Can I use my own Google Ads account?
Yes. Connect it and the ideas and volume calls route through the Keyword Planner API on your own quota, which 鹦鹉AI never meters.
Why is per-request billing cheaper?
Agents that call a per-keyword endpoint 50 times pay 50 fees. The batch route here covers up to 1,000 keywords in one request for one fee. That is why 鹦鹉AI shows the billing unit before each call.
How current is the trend data?
The trend series is weekly for the past twelve months and reflects past demand, not a forecast.
Do I need a Google Ads account for this workflow?
Only if you route through your own Keyword Planner connection. The paid volume rows run on 鹦鹉AI's keys and do not need your developer token.
Why does Semrush or Ahrefs show a different number?
Every source models demand differently. Rank keywords against each other inside one source, then validate winners in Search Console and in your own campaigns.