ai-cost-lens
Evidence-aware AI and LLM usage-cost analysis with price provenance and CCAC output
What XERJ indexed
Snapshot
The whole repository at commit 1073036152 (2026-10-24). main is 27 commits ahead.
Selected work
“Add controlled API cost tests with repeated quality evidence”. 10 files, 1,560 lines in web, tests, scripts.
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The author agreed by email on 2026-10-27. Same terms as the repository. Answers name the repo, the commit and the file:line.
selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution
ai-costccacclicloud-and-capitalcloud-costcost-allocationcost-managementfinops
Example questions
- How does ai-cost-lens implement ai-cost?
- Where does ai-cost-lens handle “Add controlled API cost tests with repeated quality evidence”?
- What does web do in ai-cost-lens?
Inside the indexed corpus
- 204 files, 4.3 MB in total, about 21.8 KB per file.
- The selected commit changed 10 of those files (4.9%).
- Languages by size: HTML 67.4%, JavaScript 20.2%, Python 9.1%, CSS 3.3%.
- On GitHub since 2026-04-21, last push 2026-10-31, 128 commits on main.
- The pin is 27 commits behind main; the corpus answers from the pinned code, not the newest.
Licence on GitHub and in the corpus
GitHub reported MIT for cloudandcapital/ai-cost-lens on 2026-10-31, and the LICENSE file at commit 1073036152 was reviewed as MIT. They match, so answers from this corpus carry the same terms as the live repository.
Contributors
Diana (@dianuhs) has 1 selected repository on the hub.
Using XERJ with ai-cost-lens
- RAG without a vector database: one hybrid index The hub files it under AI, prompts and agents.
- Best MCP servers for local code search in 2026, compared
- Best grep alternative for AI coding agents (2026)
- Ask questions about a GitHub repo without cloning it
The prompt
Paste it into your AI agent. It clones cloudandcapital/ai-cost-lens at the pinned commit and indexes it on your machine.
Search the GitHub repository cloudandcapital/ai-cost-lens with XERJ (https://hub.xerj.org/corpus/cloudandcapital--ai-cost-lens). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/cloudandcapital/ai-cost-lens ai-cost-lens && git -C ai-cost-lens checkout 10730361529f4eef5ae65e2ba46071d52388a9b5 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./ai-cost-lens --url http://127.0.0.1:9200 --prefix ai-cost-lens --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: MIT. Keep the copyright notice and credit the authors.
Related
DianaAI, prompts and agents corporainfracostgithub-opensource-guideoss-license-textsrahmankhanjohn/rahmankhanjohnkilqwe/hacktober-week-2rahmankhanjohn/ocost-splitter
Stats: GitHub API, fetched 2026-10-31. Snapshot: the git tree at the pinned commit. Selected work and consent: the XERJ registry.