Data Infra · seven datasets · one linked catalog · proof on every row
Live and archived earnings calls captured first-party from each company's own webcast, not relicensed from an aggregator. Coverage extends below where transcript vendors stop.
The only systematic monitor of investment podcasts and video shows. Every company mention ships with the quote, the timestamp and a link to the publisher's own audio.
The largest continuously verified job posting dataset in the market: hiring data straight from the employer, re-confirmed against the employer's own careers site. No ghost jobs.
The economics of the AI buildout as clean panels. Every row carries its source URL and a quality tag, so your analysts cite the primary source, not us.
Curated technology and AI market news with trending-story detection and per-ticker sentiment tracked over time.
Who is buying, selling and disclosing, from official filings. All linked to tickers throughout.
The standard layer that makes everything joinable: prices, fundamentals, estimates and events for the covered universe, plus market-implied probabilities from prediction markets.
Product · unstructured speech and video, turned into structured, source‑backed data
Your AI equity analyst. Reads the live catalog, writes the analysis, charts what it finds. Every number tagged with where it came from. Open Bargo Agent →
Connect Claude, Codex, Cursor or any MCP client straight to the catalog, or work terminal-native and pipe verified data into pandas. Connect MCP & CLIs →
English financial speech-to-text model (bargo/transcribe-finance-v1). 3.92% OpenASR mean WER (2.38% SPGISpeech) at $0.10/hour. Benchmarks & API →
bargo/transcribe-finance-v1
Use cases · built for public-equity investing
Long/short equity: edge you can defend, with proof attached to every claim.
For the head of the desk: the one who decides which strategies trade and which data the team trusts.
Datasets nobody else has, structured for modeling: source‑backed, mapped to industry, company and authority.
Notes your clients can check: every quote linked to the recording, every figure to the filing.
Equity data clean enough to show clients, with the source next to every number.
Ground your agents in verified equity data. Citations are in the data, not bolted on.
Institutional-grade equity research on AI infrastructure, power, and the capital cycle. Synthesized from the same data pipeline that feeds the MCP endpoint.
A chart of cumulative frontier model releases per lab, with explicit methodology. Anthropic and OpenAI show accelerating cadence; Google, Meta, and DeepSeek don't.