Lady Gaga hit Google Trends rank 10 on the 2026-09-13T10:01:29Z board. The 1-day rank_change sort (16 rows, baseline 2026-09-12T02:01:33Z) put the same token at rank 10 with rank_change 43 from prev_rank 53. Weekly Google Search for lady gaga scored 41.0 for the Saturday week of 2026-09-12, up 272.73% from 11.0. The 7-day rank_change sort returned 3 rows (baseline 2026-09-06T02:01:39Z) and omitted the token. Keyword Google News already sat at 31.0, up 675.0% from 4.0. YouTube only moved to 25.0, up 4.17% from 24.0. Google Shopping printed 20.0, flat versus 20.0. TikTok and Reddit both returned 404 no_data. Amazon 7D and 14D collapsed. A Scala HttpClient helper that stores board rank next to get_growth lives on Scala Trends API.
How far did weekly Search move while live rank hit 10?
get_growth for lady gaga on google search tips on 2026-09-12. Live rank 10 is the Sunday after that Saturday. The weekly series just rolled off a two-week floor at 11. It has not printed 100. The 7-day mover list still missed the token.
| Keyword | Period | Recent date | Recent | Baseline date | Baseline | Growth |
|---|---|---|---|---|---|---|
| lady gaga | 7D | 2026-09-12 | 41.0 | 2026-09-05 | 11.0 | +272.73% |
| lady gaga | 14D | 2026-09-12 | 41.0 | 2026-08-29 | 11.0 | +272.73% |
| lady gaga | 30D | 2026-09-12 | 41.0 | 2026-08-15 | 12.0 | +241.67% |
| lady gaga | 3M | 2026-09-12 | 41.0 | 2026-06-13 | 12.0 | +241.67% |
| lady gaga | 12M | 2026-09-12 | 41.0 | 2025-09-13 | 42.0 | -2.38% |
| lady gaga | YTD | 2026-09-12 | 41.0 | 2026-01-03 | 17.0 | +141.18% |
get_time_series for lady gaga on Google Search closed at 41 on 2026-09-12, matching get_growth 41.0. Adjacent weeks: 11 on 2026-09-05, 11 on 2026-08-29, 12 on 2026-08-22, 12 on 2026-08-15, 12 on 2026-08-08. The series sat at 10 to 12 from 2026-06-20 through 2026-08-22. The 2025-09-13 close was 42. The 2026-01-03 close was 17. The series peak in this pull is 100 on 2025-05-10, then 70 on 2026-02-14. Tip 41 is a climb off that summer floor, not the May 2025 peak. 12M is 41.0 versus 42.0 (-2.38%). A job that alerts only on 7D +272.73% still misses the 1-day board climb from 53 to 10. A job that waits for the 7-day mover list never sees this token, because that list had 3 rows.
The 1-day sort and the prior day's live board are not the same cut. On the 2026-09-12T08:01:39Z board the token sat at rank 13, and that day's 1-day sort (baseline 2026-09-11T02:01:29Z, 18 rows) omitted it. The 2026-09-13 1-day sort uses a 2026-09-12T02:01:33Z baseline with prev_rank 53. Pair the live rank snapshot, both mover windows, and get_growth before writing an alert. The reverse split (live rank in the top 25, weekly Search still a modest number) showed up for Sandra Bullock live rank versus weekly Search on 2026-09-11. The other shape (weekly Search already grinding up, 7-day movers still empty) showed up for Practical Magic 2 live rank versus weekly Search on 2026-09-12. This token is that second shape after the Saturday tip rolled.
POST https://api.trendsapi.ai/api
Authorization: Bearer <api_key>
Content-Type: application/json
{"mode":"get_growth","source":"google search","keyword":"lady gaga","percent_growth":["7D","14D","30D","3M","12M","YTD"]}
The response envelope is {"statusCode": int, "body": string}. body is a JSON string and must be parsed a second time before reading recent_value.
Did News lead YouTube and Shopping?
News jumped with Search. YouTube and Shopping did not. Keyword News is not the Google News Top News board.
YouTube for lady gaga tipped 25.0 on 2026-09-12, up 4.17% from 24.0 on 2026-09-05. 14D was 25.0 versus 26.0 (-3.85%). 30D was 25.0 versus 25.0 (flat). 3M was 25.0 versus 23.0 (+8.7%). 12M was 25.0 versus 47.0 (-46.81%). YTD was 25.0 versus 28.0 (-10.71%). get_time_series closed at 25 on 2026-09-12, matching get_growth. Adjacent weeks: 24 on 2026-09-05, 26 on 2026-08-29, 26 on 2026-08-22, 25 on 2026-08-15. The series peak in this pull is 100 on 2025-05-10. Tip 25 sits next to Search 41.0. Do not treat YouTube as the live-rank story.
Google Shopping for lady gaga tipped 20.0 on 2026-09-12, flat versus 20.0 on 2026-09-05. 14D was 20.0 versus 27.0 (-25.93%). 30D was 20.0 versus 18.0 (+11.11%). 3M was 20.0 versus 25.0 (-20.0%). 12M was 20.0 versus 43.0 (-53.49%). YTD was 20.0 versus 27.0 (-25.93%). Shopping 20.0 is not Search 41.0. A Search 7D of +272.73% can sit next to a flat Shopping week.
Keyword Google News for lady gaga tipped 31.0 on 2026-09-12, up 675.0% from 4.0 on 2026-09-05. 14D was 31.0 versus 8.0 (+287.5%). 30D was 31.0 versus 7.0 (+342.86%). 3M was 31.0 versus 1.0 (+3000.0%). 12M was 31.0 versus 19.0 (+63.16%). YTD was 31.0 versus 7.0 (+342.86%). get_time_series closed at 31 on 2026-09-12, matching get_growth. Adjacent weeks: 4 on 2026-09-05, 8 on 2026-08-29, 11 on 2026-08-22, 7 on 2026-08-15. The series peak in this pull is 100 on 2026-02-14, then 89 on 2025-05-10. Tip 31 is a second climb, not that February peak. News 7D +675.0% sits next to Search +272.73% and YouTube +4.17%. Keyword News and the Google News Top News board are different feeds. Top News on 2026-09-13T10:01:29Z (25 rows) omitted the token.
TikTok get_growth for lady gaga returned 404 no_data. Reddit returned 404 no_data. Absence of those series is a finding. Amazon 7D and 14D returned collapsed_range. The monthly tip is 2026-08-31, score 11.6 with volume 37,507 versus 13.3 / 43,039 on 2026-07-31 (score -12.78%, volume -12.85%). 3M was 11.6 / 37,507 versus 16.8 / 54,627 on 2026-05-31 (score -30.95%, volume -31.34%). 12M was 11.6 / 37,507 versus 45.0 / 145,949 on 2025-08-31 (score -74.22%, volume -74.3%). YTD was 11.6 / 37,507 versus 43.4 / 140,822 on 2025-12-31 (score -73.27%, volume -73.37%). Monthly Amazon lags a 2026-09-13 live rank. Compare on volume. Do not join 37,507 onto Search 41.0.
Wikipedia resolved keyword Lady Gaga to Lady gaga. August score 0.0 with 1,351 views versus July 3.3 / 1,529 (score -100.0%, volume -11.64%). 3M was 0.0 / 1,351 versus May 6.1 / 1,681 (score -100.0%, volume -19.63%). 12M was 0.0 / 1,351 versus 10.5 / 1,918 on 2025-08-01 (score -100.0%, volume -29.56%). YTD was 0.0 / 1,351 versus 6.9 / 1,726 (score -100.0%, volume -21.73%). 7D and 14D collapsed. Monthly Wikipedia lags a 2026-09-13 live rank. Compare on volume. Do not join 1,351 views onto Search 41.0.
{"mode":"get_top_trends","type":"YouTube Trending","limit":25}
{"mode":"get_top_trends","type":"TikTok Trending Searches","limit":25}
YouTube Trending on 2026-09-13T10:01:29Z (25 rows) omitted the token. TikTok Trending Searches on the same timestamp omitted it. A live Google Trends rank of 10 can sit next to a YouTube Trending miss, a TikTok keyword 404, and a weekly YouTube score of 25.0. Do not fill the Trending boards from the Search board.
What should a watchlist store for this token?
Store four fields per pull: live rank, 1-day rank_change plus prev_rank, 7-day rank_change (or an explicit miss), and get_growth for Search, YouTube, News, and Shopping. The 2026-09-13T10:01:29Z live board put lady gaga at 10. The 1-day sort printed +43 from 53. The 7-day sort (3 rows; largest climber ocarina of time remake at rank 26 with rank_change 148) omitted it. Search printed 41.0 versus 11.0. News printed 31.0 versus 4.0. YouTube printed 25.0 versus 24.0. Shopping printed 20.0 versus 20.0. TikTok and Reddit 404. Amazon 7D collapsed. Wikipedia August volume was 1,351.
A job that gates on 7-day movers misses rank 10. A job that gates on YouTube 7D +4.17% misses Search +272.73%. A job that copies last Saturday's 11.0 onto this Sunday's board is a week behind. The Scala client that posts those modes is Scala Trends API. Source notes for the Search board sit on Google Trends. Modes and the envelope live at https://trendsapi.ai/docs.
{"mode":"get_top_trends","type":"Google Trends","limit":25}
{"mode":"get_top_trends","type":"Google Trends","sort":"rank_change","window":"1d","limit":25}
{"mode":"get_top_trends","type":"Google Trends","sort":"rank_change","window":"7d","limit":25}
{"mode":"get_growth","source":"google search","keyword":"lady gaga","percent_growth":["7D","14D","30D"]}
Free tier is 100 successful 200s per month. One live board, two mover sorts, and four get_growth calls is 7 calls. Four runs per 30-day month is 28 calls and fits the free cap. Daily polling of that set is about 210 calls and needs Starter (5,000).