RoboSystems turns public-company financial filings into a knowledge graph ChatGPT can query directly.
SEC EDGAR: every public company's XBRL filings as one queryable graph. Pull a company's financial statements by ticker or CIK, pivot reported facts across companies, periods and dimensions, resolve a concept like "revenue" to its XBRL element, and run full-text search across filing narratives, then read the exact section.
Read a filing the way it was filed: list the statements and notes in a 10-K or 10-Q, then open one section whole, with its rows, breakdowns and the calculations that tie it together.
The graph also exposes read-only Cypher, so a conversation can move from a question ("show me NVIDIA's latest income statement") to a raw traversal ("which 2025 10-Ks mention goodwill impairment?") without leaving ChatGPT.
Authorization is OAuth 2.1 with PKCE. This plugin connects only to the SEC EDGAR repository, which is read-only, and you can revoke access at any time. Open source (Apache-2.0): github.com/RoboFinSystems/robosystems
How to use
- 1Add it in ChatGPT
Open RoboSystems in ChatGPT's Plugin directory (button above), select + to add it and sign in if asked.
- 2Use it in a chat
Type @ in the composer and pick RoboSystems, or start your message with its name. ChatGPT may also suggest it when it fits what you ask.
Skills 1
- sec-filing-analysis
Analyze a public company from its SEC EDGAR XBRL filings on the RoboSystems `sec` graph — statements by ticker or CIK, cross-period and cross-company metric comparisons, concept-to-element resolution, and full-text search over 10-K/10-Q narrative. Use for questions like "show me NVIDIA's income statement", "compare gross margin across the last eight quarters", "which filers mention goodwill impairment", or any request that names a ticker, CIK, 10-K, 10-Q, or XBRL concept.
Things to ask
- “Show me NVIDIA's most recent annual income statement”
- “Compare revenue and net income for Apple and Microsoft over their last three fiscal years”
- “Which 2025 10-K filings mention goodwill impairment?”