Publisher · 3 actors

apiagent on the Apify Store

apiagent publishes 3 actors on the Apify Store, used by 6 people in the last 30 days. Oldest actor is 3m old. Prices, reliability and maintenance below come from our daily census of the public store catalog.

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Last 7 dayson this catalogue

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By monthly users#1,898↓ 304of 4,120 publishers · 6 users in 30 days
By catalogue size#2,101↑ 3of 4,120 publishers · 3 actors listed
By users all time#2,202↓ 53of 4,120 publishers · 13 users since they began
Needs a build0 of 30 fresh · 3 aging · stale = no build in 180 days
Carries half the users1 of 3top 3 hold 100% · 50% 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 build3 actors in the catalogue
Platforms targeted
GitHub1
Google1
LinkedIn1
Hacker News1
X (Twitter)1
Biggest actors, monthly users
linkedin-profile-scraper50%
seo-research-mcp33%
ai-agent-news-aggregator17%

share of this publisher’s 6 monthly users

5platforms targeted
one every 32 daysnew actors, last 96 days
Jul 2026first actor still listed
67dsince their newest actor

apiagent spreads 3 actors across 5 platforms, most of all GitHub (1). They add one every 32 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
6↓ 8over 30 readings
Runs / daymatched per actor
3↓ 4over 30 readings
Runs / 30drolling window, summed
34↓ 162over 30 readings
Actorsin the census that day
3↓ 2over 30 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
1builds published
1/60days with a build
0%of the catalogue touched in 30 days
Last touched
31–90d2
91–180d1

apiagent published 1 build on 1 of the last 60 days. Busiest was 28 Aug (1).

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—RES$4.50 /1k36 total——2maging
2—EVT$10.00 /1k apify-actor-start26 total——2maging
3—FREEfree11 total——3maging
3 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →