summary: edgeful AI is a deep research tool for analyzing market reports and finding patterns across multiple data sources. overview of what it is, how it works, and links to detailed guides.

new to edgeful AI? the question you ask shapes the answer you get. before you dive in, read best questions to ask edgeful AI — it covers the 3 question types the AI is built for, how to frame a precise prompt, and the "find commonalities" pattern that surfaces predictive setups.

a 16-minute walkthrough of edgeful AI V1 with André — covers the Analyze Reports flow end-to-end: configuring reports, reading the merged data table, asking the AI good questions, and using the "find commonalities" prompt pattern.

edgeful AI launched February 28, 2026. it's a research assistant with access to edgeful's report library, built for thorough, data-backed analysis that takes time to do manually.

think of it as a research analyst who's read every report on the platform and can pull any data point on demand — but who works from historical records, not a live screen. use it when you want to go deep. use the screener and WIP when you need to move fast.

edgeful AI reads the main reports on the platform — the supported list keeps growing.

the original V0 release of edgeful AI was built off the platform's documentation. it could answer expert-level questions about how reports work, which subreport to use for what setup, how features are configured — essentially a senior product-support persona with deep knowledge of edgeful itself.

V1 connects the actual report data into the conversation. you can now load real report tables for your ticker, your session, and your lookback period — and the AI reasons over that data directly. instead of explaining how the IB by Rejection report works, the AI can read your IB data and tell you which days the rejection setup actually played out.

this is what makes patterns surface that would be impractical to find by hand — the AI can scan months of data across multiple reports and pull out the commonalities much faster than you could on the report pages.

you can work with edgeful AI in 2 ways: free-form chat or the structured Analyze Reports feature.

free-form chat is open-ended. ask any question about any report and the AI pulls data on demand. great for exploratory research and one-off questions.

Analyze Reports is a step-by-step wizard that configures a specific analysis — you choose the reports, ticker, session, and date range, then it returns a structured data table you can read and compare directly. this is also how you combine reports today — Analyze Reports lets you stack up to 3 reports in a single run so you can see cross-report patterns side by side. if you've been looking for a way to combine reports, this is it.

a few details that make the conversation flow smoother once you start asking questions:

edgeful AI is built for deep research — not daily prep. the screener and WIP are your daily tools. for the full breakdown of what edgeful AI handles well and where its limits are, see what edgeful AI can and can't answer.

your edgeful subscription includes 3 million tokens per month for use with edgeful AI. tokens are consumed each time you ask a question or run an Analyze Reports flow. you can check your current usage in the edgeful AI interface.

tokens reset on your subscription renewal date — not the start of the calendar month. so if your renewal is on the 21st, tokens refresh sometime on the 21st.

hit your limit? there's no self-service top-up. reach out through the chat widget in edgeful and the support team can review your account and raise your allotment in some cases. full details in how to access edgeful AI.

edgeful AI is available on all plans — both essential and all access. no upgrade required.

open edgeful AI from the left sidebar and look at the suggested prompts panel — they're designed to show you the kinds of questions the AI handles best. pick one and send it. from there, it's all follow-up questions.

what's the difference between V0 and V1?

V0 worked off the platform's documentation. V1 connects actual report data into the chat. full breakdown in the central FAQ.

how many reports can I combine in one analysis?

up to 3. more than that and the cross-report patterns get noisy.

why is the AI giving me generic answers?

most common cause is a missing context pill. open saved runs and click the report to re-attach it as a pill so the AI can read its data again.

can I refresh the data on a saved run?

no — saved runs are frozen snapshots. re-run the analysis to get today's data. see how to use saved runs.

can edgeful AI tell me what to trade today?

no — edgeful AI is a research tool, not a signal generator. for daily bias, use the screener and WIP. see what edgeful AI can and can't answer.

when do my tokens reset?

on your subscription renewal date — not a fixed time of day.

→ more edgeful AI questions in the central FAQ

edgeful AI V1 is the first iteration of the data-connected version, and it's actively being improved. if there's a report you want added to Analyze Reports, a column missing from a data table, or feedback on the interface, send it through the chat support bubble — André's team reads it and uses it to prioritize what ships next.

edgeful AI's Analyze Reports covers in-app combining today. if you're looking to pull report data into your own systems — bots, dashboards, custom analytics — that's what the edgeful API is for. it's live and included on every plan, so you already have access. generate a key in the API dashboard, then see the edgeful API — overview + walkthrough to get started.

the full API reference is live at edgeful.com/docs/welcome — quickstart, authentication, and the full endpoint list. you can also push any docs page straight into ChatGPT, Claude, or Cursor with the Open in menu in the top right corner of every page.