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ReportGem Research — cited answers from 16M+ bank reports
Research companies and markets with page-cited evidence from 16M+ investment-bank reports (Goldman Sachs, JPMorgan, Citi and more), plus SEC filings, earnings calls and 5M+ Chinese broker reports.
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ReportGem Research — cited answers from 16M+ bank reports
Example session with this skill installed
What drove Hancock Whitney's 3Q26 beat, and how did the sell-side change its estimates? Verify the numbers against the source report and cite pages.
- Read your context and instructions
- Compiled the reportgem research
Summary
Hancock Whitney (HWC) earned
$1.65 core EPS in 3Q26, $0.09 above Citi's prior $1.56 estimate. The beat came from net interest income and margin; fees were soft. Citi raised its 2026 EPS estimate and trimmed 2027.
Verified evidence
| Item | Value | Source |
|---|---|---|
| 3Q26 core EPS | $1.65 (Citi prior est. $1.56) | Citi Research, Hancock Whitney 3Q26, 22 Oct 2026, p.1 |
| Quarterly path | 1Q26 $1.52 → 2Q26 $1.56 → 3Q26 $1.65; 4Q26E $1.71 | p.1 |
| 2026E adjusted EPS | $6.38 (from $6.29) | p.1 |
| 2027E adjusted EPS | $7.32 (from $7.46) | p.1 |
| Drivers | NII above consensus, NIM up more than expected; lower average earning assets and higher core expenses absorbed part of it | p.1 |
| Annual model | 2026E NII +$104M vs 2025A, but total operating income only +$28M | p.2 (financial model) |
Supporting vs opposing views
Supporting: spread strength carried the quarter; Citi still models higher NII and a lower cost-to-income ratio in 2027, helped by One Florida Bank cost savings.
Opposing: soft fee income was offset by a lower loan-loss provision, not by operations; competition for premium loans and deposit pricing limit how much of the beat carries into 2027.
Gaps
- The report gives no quarterly dollar bridge per item, so the $0.09 beat cannot be split precisely between margin, assets, expenses and provision.
- No valuation target is inferred here; assumptions and risks are on p.5.
Indicators to monitor
- Deposit costs vs asset yields (NIM sustainability)
- Fee income recovery
- One Florida Bank integration costs and 2027 savings
Sources
Citi Research, Hancock Whitney 3Q26 report (22 Oct 2026): results and estimate changes p.1; financial model p.2; valuation and risks p.5.
Research information only, not investment advice.
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About this skill
Give your agent a research desk. This skill connects Claude Code, Cursor, Codex, Copilot and other MCP-capable agents to ReportGem, a global investment-research library, and teaches the agent how to use it properly.
What your agent can search
- 16M+ global investment-bank reports — Goldman Sachs, JPMorgan, Citi, Morgan Stanley, UBS, HSBC, Barclays, Nomura and more, with same-day real-time reports
- 5M+ Chinese broker and futures research reports
- SEC filings and China company announcements
- Earnings calls, roadshows and investor meeting notes
- Charts and tables inside reports
What the skill adds on top of the raw MCP server
- A search-then-verify workflow: every material number, forecast or quote is checked against the source passage with
get_evidence - Page-level citations (title, date, source type, page) in every answer
- Correct long-document reading with a cursor instead of random keyword sampling
- A standard output: key findings, verified evidence, supporting vs opposing views, gaps, indicators to monitor, sources
- Guardrails: separates disclosures, analyst opinion and synthesis; never asks for credentials in chat; research, not investment advice
Setup
One command in Claude Code, then an OAuth sign-in in your browser:
claude mcp add --transport http reportgem https://www.reportgem.com/mcp
Other clients are covered in reference/setup.md. New ReportGem accounts get 10 free credits (about 100,000 returned tokens, valid 30 days). You pay only for research text actually returned — titles, queries and empty results are free. Pricing: https://www.reportgem.com/en/mcp.html#pricing
Requires ReportGem MCP server setup and OAuth. Text delivery consumes credits. Sequential reading is limited to ~18,000 characters per request.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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