You could get a long way. Point an agentic coding tool at a few data APIs and you'll have something working by the weekend. The work that follows is longer: normalizing a dozen sources, tying each claim to where it came from, encoding the rules that stop a model comparing numbers it shouldn't, and fixing all of it when a feed changes.
| Capability | General AI assistantsClaude, ChatGPT | Agentic coding toolsClaude Code, Codex, OpenCode | Market terminalThe one on a trading desk | Sefiron |
|---|---|---|---|---|
| Live market data | PartialWeb search, page by page | PartialOnce you wire up a feed | YesIncluded | YesBuilt in, fetched per query |
| Regulatory and filing data | PartialOnly what a page shows | PartialOnce you parse the feeds | YesIncluded | YesDirect from EDGAR and FINRA |
| A citation on every claim | PartialCites pages it browsed | PartialTool calls, not claims | PartialYou track provenance | YesPer claim, in the answer |
| Runs real calculations | YesSandboxed code | YesFull local toolchain | PartialExport to a spreadsheet | YesSandboxed Python |
| Knows the financial gotchas | NoGeneral purpose | NoYours to encode | YesBuilt for markets | YesBuilt for markets |
| Prediction-market odds | PartialOnly what a page shows | PartialOnce you wire up the APIs | PartialRarely covered | YesKalshi and Polymarket |
| Charts in the answer | YesInline, if you ask | YesWrites a file you open | YesNative | YesInline, by default |
| Nothing to assemble | YesNothing to set up | NoYou assemble the stack | PartialSetup, plus training | YesOpen it and ask |
| Somebody else maintains it | YesVendor maintains it | NoYours to keep alive | YesVendor maintains it | YesOurs to keep alive |
| Cost to start | YesLow subscription | PartialCheap, plus your time | NoFive figures per seat | YesFree credits, then plan or usage |
Quotes, fundamentals, options, analyst estimates, ownership, corporate actions. Each has a vendor, a key, a rate limit and a license that may or may not let you do what you want.
EDGAR and FINRA are free, but awkward. Filings need fetching, converting and splitting into sections. The regulatory feeds are bulk files published on their own schedules in their own formats.
Currencies and FX at the right date, fiscal calendars that are not the calendar year, ticker-to-CIK mapping, cross-listings that double-count, reported versus adjusted figures.
The tool result, the model's summary and the renderer all have to track which call produced which number. If one of them drops it, the citation is gone.
The guardrails that stop a model comparing two numbers that should never be compared. You find out you needed each one after it has already produced a wrong answer.
Endpoints move, fields get renamed, formats shift. Every one of those is an outage you find while trying to answer something else.
Assistants cite the pages they browsed, so you know where they looked but not which sentence came from where. Coding agents are more transparent than assistants: you watch every tool call as it happens. That provenance stays in the transcript, though, so matching a figure in the summary to the call that produced it means reading back the entire transcript. Sefiron attaches the source to the claim, so checking a number takes a click.
Reported versus adjusted earnings. Market cap quoted in a currency you did not expect. A pence-denominated listing that is off by a factor of a hundred. Short interest that is two weeks old by design. A general model will compare two numbers that should never be compared, because nothing told it not to. Sefiron carries these rules explicitly.
Everything here can draw a chart. Assistants render interactive ones inline. A coding agent writes an HTML file or a PNG and opens it in your browser. The difference is where the chart ends up: in a separate file, or inline, with or without traceable citations.
Every answer shows the steps it took, the data it found, and where each number came from.
Compare P/E ratios for Apple, Microsoft and Nvidia
Apple trades richest on trailing earnings at 39.1x, against 28.7x for Microsoft and 28.5x for Nvidia.
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