AI Ecosystem Intelligence — Agentic Analytics Orchestration


AI Ecosystem Intelligence

This is an experimental project built by a team of AI agents. The agents helped plan, build, review, and manage the project through GitHub, while I provided flexible instructions and overall direction.

Checked-in sources

OpenRouter coding/CLI-agent traffic

Bundled snapshot: data/openrouter-current.json

Bundled public snapshot

Source scope: Public OpenRouter apps; UTC window 2026-08-29 to 2026-09-27

Source date / last captured: 2026-09-28T17:22:56.744Z

Source details

Ranking metric: total tokens in the captured window; requests are shown as a separate count. These are not user counts.

Top 10 OpenRouter coding/CLI-agent apps by token volume
RankAppTokensRequests
1Hermes Agent48,113,350,542,381494,002,814
2Claude Code22,673,023,764,970234,043,808
3Kilo Code14,565,330,570,448190,442,386
4Cline13,647,155,408,914125,297,748
5pi9,011,655,797,72288,490,185
6omp7,117,339,589,66142,416,803
7Codex5,634,755,251,18569,708,159
8OpenClaw5,192,857,041,19774,752,543
9OpenHands1,931,541,157,44020,224,117
10Command Code1,263,768,129,55112,673,960

Six-month usage

Monthly public coding/CLI-agent top ten by tokens. An absent app has unknown counts, not zero; an unavailable snapshot is a separate error.

Hermes Agent: six completed UTC months
MonthTokensRequestsTop-list statusCaptured as of
2026-03341,465,597,5906,385,676returned rank 52026-09-28T20:19:21.577Z
2026-045,293,636,631,90698,745,279returned rank 32026-09-28T20:19:21.986Z
2026-0511,855,069,268,842199,365,362returned rank 12026-09-28T20:19:22.987Z
2026-0625,722,724,706,037352,946,923returned rank 12026-09-28T20:19:23.467Z
2026-0729,688,895,154,398363,476,983returned rank 12026-09-28T20:19:23.901Z
2026-0849,792,321,779,172498,200,170returned rank 12026-09-28T20:19:24.508Z

Source: OpenRouter App Rankings Data API; public aggregate data, CC BY 4.0. Captured `as_of` and window are shown above. Only returned top-ten apps are represented.

SWE-bench Verified results

Bundled snapshot: data/swe-bench-verified.json

Bundled public snapshot

Source scope: Submitted coding systems; five-record source sample, not a full leaderboard

Source date / last captured: 2026-09-28

Source details

SWE-bench Verified benchmark sample

Coding benchmark results, not production reliability. This five-record source sample is separate from OpenRouter traffic and is not joined to usage.

All rows are from the Verified benchmark. “Source verification flag” preserves the separate checked value recorded by the leaderboard source.

Five pinned SWE-bench Verified source records
System / submissionModel / versionSubmittedResolvedSource verification flag
Sonar Foundation Agent + Claude 4.5 OpusClaude 4.5 Opus2025-12-0579.2%false
live-SWE-agent + Claude 4.5 Opus medium (20251101)Claude 4.5 Opus2025-12-1579.2%false
TRAE + Doubao-Seed-CodeDoubao-Seed-Code2025-09-2878.8%false
live-SWE-agent + Gemini 3 Pro Preview (2025-11-18)Gemini 3 Pro Preview2025-11-2077.4%false (See README.md for info on how to get your results verified)
EPAM AI/Run Developer Agent v20250719 + Claude 4 SonnetClaude 4 Sonnet2025-08-0476.8%false

LangChain use-case survey

Bundled snapshot: data/langchain-use-cases.json

Bundled public snapshot

Source scope: Professional respondents; survey 2025-11-18 to 2025-12-02

Source date / last captured: 2026-06-12

Source details

Primary agent use cases

Share of 1,340 professional respondents selecting one primary agent use case. Survey fielded 2025-11-18 to 2025-12-02. These survey percentages are not OpenRouter usage or app-specific measures.

Text equivalent: published primary agent use-case shares
Primary use caseRespondents
Customer service26.5%
Research & data analysis24.4%
Internal workflow automation18%

Pew U.S. adult chatbot survey

Bundled snapshot: data/pew-ai-chatbot-ever-use-2026.json

Bundled public snapshot

Source scope: U.S. adults; survey 2026-02-17 to 2026-02-23

Source date / last captured: 2026-09-28

Source details

U.S. adult AI chatbot ever-use

Metric: self-reported ever use of each named AI chatbot among U.S. adults. Pew surveyed U.S. adults Feb. 17–23, 2026.

These survey estimates are not active users, traffic, market share, OpenRouter usage, LangChain use cases, or SWE-bench performance. Brand questions used split forms and respondents could report more than one chatbot, so percentages must not be summed.

Text equivalent: self-reported ever use among U.S. adults
AI chatbotEver used
ChatGPT44%
Gemini24%
Copilot17%
Meta AI14%
Grok8%
Claude6%
Character.ai3%