Publisher · 10 actors

quodlibetical_buffalo on the Apify Store

quodlibetical_buffalo publishes 10 actors on the Apify Store, used by 3 people in the last 30 days. Oldest actor is 5m old. Prices, reliability and maintenance below come from our daily census of the public store catalog.

Claim this publisherIs this your catalogue? Claiming is free, and its full history is yours forever.
Last 7 dayson this catalogue

No changes seen in the last 7 days. Follow quodlibetical_buffalo and hear the morning something moves

By monthly users#2,463↓ 18of 4,120 publishers · 3 users in 30 days
By catalogue size#1,055↓ 40of 4,120 publishers · 10 actors listed
By users all time#2,202↓ 53of 4,120 publishers · 13 users since they began
Needs a build0 of 1010 fresh · 0 aging · stale = no build in 180 days
Carry half the users2 of 3top 3 hold 100% · 33.3% on the largest

Places are over the 4,120 publishers listed today; the week’s move is measured against the 3,645 also listed on 17 Oct, so nobody falls because the store grew around them.

What they build10 actors in the catalogue
Platforms targeted
Google Maps1
Google News1
Hacker News1
YouTube1

6 of 10 target no particular site

New actors per month · 2026-05–2026-09
MayJunJulAugSep

Actors still listed today, by the date the store created them · busiest 2026-05 (5)

Biggest actors, monthly users
website-to-markdown-mcp33%
youtube-transcript-mcp33%
google-maps-data-mcp33%

share of this publisher’s 3 monthly users

4platforms targeted
1.9 a monthnew actors, last 164 days
May 2026first actor still listed
26dsince their newest actor

quodlibetical_buffalo spreads 10 actors across 4 platforms, most of all Google Maps (1). They have created 1.9 a month over the last 164 days.

How this is counted

Platforms come from our own classification of each actor’s listing, and an actor can target several — so these counts overlap and add up to more than the catalogue. Dates are the store’s own creation timestamp for each actor, which means the chart shows the actors still listed today, grouped by when they were made: a publisher who built forty last year and has since removed thirty shows ten. Shares are of this publisher’s own monthly users, from the same daily census as the table below.

Monthly userssummed across this catalogue
3↑ 1over 26 readings
Runs / daymatched per actor
0↓ 4over 25 readings
Runs / 30drolling window, summed
10↑ 7over 26 readings
Actorsin the census that day
10↑ 5over 26 readings

Runs per day is each actor's own step in its lifetime run counter, added up over the actors present on both days — an actor joining this catalogue moves the actor count, never the runs line. Last 30 days; the full history is in the app.

Build activitylast 60 days
0builds published
0/60days with a build
100%of the catalogue touched in 30 days
Last touched
8–30d10

No build from quodlibetical_buffalo in the last 60 days.

How this is counted

A build is counted from the store's own build counter, read once a day, so a cell is an exact count and an empty cell is a day nobody shipped. Shading runs against this catalogue's busiest day, so it compares days here — not catalogues. “Touched” is broader than a build: it is the last change the store saw of any kind, on a rolling re-fetch, so it can lag a build by days. Per-actor history is in the app.

Sort
#ActorGradePrice / 1kUsers /30dSuccessRatingAgeFresh
1—EVT$1.00 /1k url-fetchedfair price12 total——5mfresh
2—EVT$3.50 /1k transcript-extracthigh price11 total——5mfresh
3—EVT$1.00 /1k place-searchfair price12 total——5mfresh
4—EVT$21.00 /1k page-analyzedsteep price01 total——5mfresh
5—EVT$0.10 /1k search-resultgood price01 total——26dfresh
6—EVT$0.40 /1k feed-fetchedfair price02 total——5mfresh
7—EVT$0.05 /1k forecast-fetchedgood price01 total——26dfresh
8—EVT$3.50 /1k news-itemhigh price01 total——26dfresh
9—EVT$0.07 /1k search-resultgood price01 total——26dfresh
10—EVT$2.10 /1k conversionhigh price01 total——26dfresh
10 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →