Bargo for Agentic AI Finance Platforms
Your agents are only as good as what they cite. Bargo feeds them global equity data where every row carries its source, over MCP or API, so their answers survive being checked.
Accurate · Reliable · Source‑backed
Three plays
Every field your agent pulls carries its source: the filing, the recording, the employer page. Citations are in the data, not bolted on after.
Point your agent at one endpoint and the whole catalog is callable: calls, mentions, jobs, filings, panels. No ingestion project.
Podcast attention, promotion flags, verified hiring: your agent answers questions competitors’ agents cannot, with receipts.
A thesis built on Bargo survives the only question that kills ideas in committee: "how do you know?"
Compliance clicks the link: the audio on the publisher's feed, the filing on EDGAR, the posting on the employer's site. Nothing rests on trusting us.
Access
Test the answer quality yourself before you integrate.
One endpoint, the whole verified catalog, callable by any agent.
Documented REST endpoints with source fields on every row.
The terms
| Snapshot | A documented evaluation snapshot with per-file SHA-256 digests: a row you check next year is provably the row published today. |
| Your sample, not ours | A reproducible sampling rule lets you draw your own verification sample. We cannot have selected it for you. |
| The flag sheet, live | The weekly promotion flag sheet as it fires, with excerpts, timestamps and EDGAR context per row. |
| No performance claim | Detection rules were frozen before outcome data existed and flags are append-only. First graded cohort reads out late October 2026; we claim nothing before then. |
| Honest limitations | The current snapshot is not point-in-time; append-only daily snapshots are being added. Backtests on today's file should assume lookahead. |