APIs.io · weekly traffic

Three measurement layers

The CDN edge, a browser beacon, and agent fetches of the markdown twins. They count different populations, and the distance between them is the finding — not an error to reconcile.

Week of 2026-08-31 → 2026-09-06
37 weeks tracked · collected 2026-09-07
AI share of twin fetches
73.8%

69,736 of 94,514 markdown-twin fetches last week came from named AI crawlers. The same bytes go to every client — nothing here varies by user-agent.

A further 23,744 fetches came from clients presenting an ordinary browser user-agent. Humans do not hand-fetch index.md, so the AI share is a floor, not a ceiling.

Edge · CloudFront
7,294,109
20%vs prior week
Every request the CDN served — pages, assets, /api, /mcp, bots alike. 226 GB, 17.6% 4xx/5xx.
Browser · GA4
132,063
41%vs prior week
Page views from JavaScript-executing clients only. Read the signal check below before quoting this.
Agent · markdown twins
94,514
13%vs prior week
Read from CloudFront access logs. Counting began 2026-08-13; earlier weeks were never measured.

What the browser layer is actually counting

Four indicators read together, not as separate stats. Each one alone is survivable; all four at once is a bot signature.

Not an audience number
Sessions from one geography flag
65.0%
Singapore, 84,558 of 129,940 sessions.
Bounce rate flag
88.9%
One page, no second action, on the overwhelming majority of visits.
Average session flag
16s
Too short to read a heading, let alone a provider profile.
New users flag
100%
Effectively nobody returns, week after week.
Venue is not operator. Singapore leads the country table, but CloudFront logs for 2026-08-13 resolved Singapore-edge client IPs to Tencent 34.0%, CacheFly 6.9%, China Unicom, China Telecom and Alibaba — plus a rotating-user-agent fleet running exactly 15 user-agents per IP. Registry country says Singapore; the operators are elsewhere. Country here is where traffic egressed, never where anyone sat.

Daily volume by layer

One shared timeline, one scale per layer. The three differ by orders of magnitude, so plotting them against a common axis would invent a relationship that is not in the data.

Edge requests
Browser page views
Agent twin fetches

The shaded band on the agent panel is time that was never measured. Twin counting began 2026-08-13, when CloudFront access logging was switched on — which is not the same as nobody having come.

Who is fetching

Ranked by fetches of the markdown twins, last week. Search and SEO bots are shown but excluded from the AI share.

Fetchers by user-agent

11 distinct agents, from 9,281,065 logged requests scanned.

amazonbot AI 25,681
browser 23,744
meta-externalagent AI 16,950
gptbot AI 14,295
claudebot AI 9,329
oai-searchbot AI 3,480
bingbot 540
other-bot 436
other 56
googlebot 2
Counted as AI Search, SEO, unattributed

How they crawl

The shape of the crawl, not a leaderboard.

Markdown served to agents last week — 3 KB per fetch, identical bytes for every client. 316 MB
Share held by the single most-fetched twin (115 fetches). There is no head — agents are crawling broadly, not hammering a few pages. 0.12%
Largest single day, 2026-08-21 — 69% of that entire week arrived in 24 hours. One crawler sweeping the catalog, not a trend. 100,866

Weekly history

An em dash means not measured, never zero. Twin counting began 2026-08-13; printing 0 for the weeks before it would assert that no agent came, which we do not know.

Week ending Requests GB Err Views Sessions SG % Bounce Twins AI %
2026-09-06 7,294,109 226 17.6% 132,063 129,940 65.0% 88.9% 94,514 73.8%
2026-08-30 9,095,343 265 15.13% 222,848 219,643 62.4% 95.1% 83,469 73.2%
2026-08-23 7,831,319 281 6.78% 196,720 188,855 50.9% 95.3% 145,637 81.6%
2026-08-16 6,479,429 187 8.77% 213,379 206,851 66.0% 95.4% 6,322* 59.2%
2026-08-09 6,561,545 159 14.28% 104,859 101,108 34.1% 96.0%
2026-08-02 9,548,627 196 16.49% 526,240 502,881 83.9% 83.8%
2026-07-26 6,373,099 122 10.55% 124,539 95,693 39.5% 92.8%
2026-07-19 5,218,191 75 5.21% 111,200 103,870 16.3% 89.8%
2026-07-12 6,018,956 71 5.48% 123,654 115,883 20.3% 91.3%
2026-07-05 6,515,760 69 9.48% 229,654 222,191 55.4% 95.4%
2026-06-28 5,363,220 77 5.28% 161,481 152,684 25.7% 91.3%
2026-06-22 1,881,905 26 14.36% 74,687 68,336 7.1% 88.8%
2026-06-21 1,320,865 17 15.3% 75,183 70,441 6.1% 88.6%
2026-06-14 2,073,492 57 58,598 54,197 9.4% 88.8%
2026-06-10 2,359,591 47 48,367 45,731 9.2% 89.0%
2026-06-03 1,386,946 42 13,951 13,113 88.4% 96.3%
2026-05-27 1,156,273 45 3,352 2,278 35.6% 64.7%
2026-05-20 753,178 29 6,704 6,166 90.0% 97.2%
2026-05-13 713,857 21 11,483 11,196 95.6% 98.8%
2026-05-06 443,417 10 981 432 36.3% 75.0%
2026-04-29 485,605 6 1,503 1,301 85.7% 94.9%
2026-04-22 472,289 6 938 442 19.9% 81.9%
2026-04-15 368,448 7 376 253 16.2% 67.2%
2026-04-08 330,832 4 321 197 13.7% 69.0%
2026-04-01 171,944 1 249 204 20.0% 68.6%
2026-03-25 128,668 1 264 226 19.0% 72.6%
2026-03-18 119,763 1 579 357 18.2% 74.5%
2026-03-11 111,269 1 345 280 12.8% 74.3%
2026-03-04 227,967 1 714 423 18.9% 72.3%
2026-02-25 160,243 1 776 483 22.7% 75.8%
2026-02-18 98,957 1 915 427 24.1% 73.5%
2026-02-11 94,345 1 650 425 74.4%
2026-02-04 82,281 0 443 346 78.9%
2026-01-28 83,499 0 466 364 77.5%
2026-01-21 50,792 0 383 305 71.5%
2026-01-14 55,066 0 476 347 75.5%
2026-01-07 72,047 1 513 350 77.7%
37 weeks · newest first

Why the numbers differ

Edge counts everything

  • Every HTTP request served — pages and every asset (CSS, JS, images, fonts)
  • Bots, crawlers, feed readers, and /api + /mcp clients
  • Cached responses served at the edge, which never reach the S3 origin
  • Anything that loads before JavaScript runs, and clients with JavaScript off

Browser counts a subset

  • Fires only when JavaScript loads and executes successfully
  • Ad blockers and privacy extensions suppress the tag — heavily, on a developer audience
  • Declared bots are filtered automatically; headless browsers are not
  • Carries no source or medium, so it cannot attribute a visit to anything

Agents are invisible to both

  • Agents execute no JavaScript, so the browser layer reports zero for them no matter what happens — a gap no tag fix closes
  • The edge counts the request but cannot tell a twin fetch from any other hit, which is why this number comes from the access logs
  • A twin fetch has no click-through and never will, so it is reported on its own and never blended into a rate beside human traffic
  • The same bytes go to every client. Nothing here varies by user-agent, which is the whole point on a network that publishes the tool auditing that behavior