Mansi Pathak
Mansi Pathak's work was selected for the XERJ Corpus Hub, the open reference memory AI coding agents search before they write code. When an agent meets the same problem, it gets this implementation back as a worked example, with the author and the repository attached.
Totals across every corpus @mansipathak appears in; a commit selected for two corpora counts once. Files and lines count the selected commits; each corpus indexes the whole repository at its pinned commit.
What an agent can do with the dataville-sec-edgar corpus
datavilleorg/dataville-sec-edgar: Build with SEC EDGAR through Dataville: authoritative 10-K, 10-Q and 8-K filings and XBRL financials via one REST API and MCP server.…
- Look up how dataville-sec-edgar implements 10-k, ai-agents, company-data, with answers cited to file and line.
- Reuse a worked example: the commit “Fix the app against the real /edgar response; call Dataville server-side” (12 files · TypeScript).
- Answer from dataville-sec-edgar's real TypeScript source instead of memory (AI, prompts and agents).
- How does dataville-sec-edgar implement 10-k?
- What does src/lib do in dataville-sec-edgar?
Search the GitHub repository datavilleorg/dataville-sec-edgar with XERJ (https://hub.xerj.org/corpus/datavilleorg--dataville-sec-edgar). 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/datavilleorg/dataville-sec-edgar dataville-sec-edgar && git -C dataville-sec-edgar checkout 79a4eeb9c635ab0a0bc431e2fd4a46f0c16ddcfc 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./dataville-sec-edgar --url http://127.0.0.1:9200 --prefix dataville-sec-edgar --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.
corpus datavilleorg--dataville-sec-edgar · AI, prompts and agents
Related corpora: atoma-run--atoma, agno, daniel3303/Equibles, Pnlvfx/whatcode-ai
AI search and retrieval with XERJ · Case study: reference coding for agents
Selected work
datavilleorg/dataville-sec-edgar
The corpus is the whole repository at the pinned commit, not only the files of the selected commit.
Not installable yet: this corpus is not in the hub registry until its licence review passes, so xerj corpus add and xerj ask cannot fetch it. It becomes installable when this card says live in the hub.
Sign in with GitHub or Hugging Face to see more: every selected commit in full (commit date, every folder, licence review state, pin) and the pack builds of each corpus.
[](https://hub.xerj.org/contributors/mansipathak)
Included with the author's permission (email, 2026-10-23), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.