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Agents tracked: 440 Downloads (7d): 202M down 19.5% GitHub stars: 10.4M Releases (7d): 607 Agent status: 1 with issuesSince last limit reset: Claude 28d · Codex 0d Updated Oct 21, 2026

Data you can trust

How fresh the data is

How often each kind of AgentGid data is refreshed, where the date of each number is shown, and what the amber "Not updated since" mark means.

Updated Oct 14, 2026 View as Markdown

Every number on AgentGid carries the date it was read. When a source stops answering, the number keeps its last reading and is marked out of date, so you never see an old number as if it were new.

How often things are refreshed #

Data How often
Status of agents and services, news, limit resets Every 30 minutes
Usage data: downloads, stars, installs, mentions Once a day
Official deals Once a day
Prices, free tiers, plan limits Read from official pages; each shows the date it was checked
Tested kit recipes Checked every week

Registries publish downloads a day or two late, so the latest reading of a download count usually trails the day it was fetched.

Where to see the date #

  • Agent pages: a line under the key numbers gives the range of the latest readings, and the card How fresh these numbers are lists every number with its latest reading and when the source was last checked.
  • Charts say the day they run to ("as of …").
  • Tables of agents show the date of the number in each row.
  • Prices show the official page they came from and the date they were checked.
  • The JSON data has data_as_of and data_out_of_date for each agent. See JSON, RSS and llms.txt.

The amber mark #

A reading more than 4 days old is marked out of date: in amber, as Not updated since a date, with the name of the source. Nothing is filled in or estimated in its place. The Gid Score keeps using the last reading until a newer one arrives, and in the main ranking table an amber dot next to a score says that some numbers behind it are out of date.

A status that could not be refreshed for more than 3 hours shows as Not checked recently, never as a live outage.

More detail is in the methodology and the list of data sources.

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