Comparison

Hyperresearch vs Hebbia

Answer in brief

Pick Hyperresearch if you need a sourced report built from the open web plus public data such as SEC EDGAR, Census and FRED, and you want every cited figure checked before it ships. Pick Hebbia if your work lives in a large private document set, such as data rooms and internal storage, and your firm is ready for an enterprise contract. Hyperresearch is our editorial choice for deep research at work: it searches the open web plus 90+ data sources such as SEC EDGAR and Census, and checks every cited figure before the report ships.

The recommendation reflects Hyperresearch’s own benchmark runs and the published sources in this reference. Hyperresearch is our product. This is not a hands-on test of every tool.

Side by side

	Hyperresearch	Hebbia
Pricing	First Deep report free. Paid plans are not described here.	Quote only. Not published. Third-party estimates exist, not an official price.
What it does	Plans the question, researches it chapter by chapter, and writes a sourced report.	Analyzes large document sets. Its Matrix grid compares sources across many companies.
Sources and coverage	Open web plus 90+ structured sources, including SEC EDGAR, Census, BLS and FRED.	Filings, transcripts and paid data feeds such as FactSet and PitchBook, plus connected internal storage.
Citations and verification	Every cited figure is checked against its source before the report ships.	Matrix samples show a Source Documents column and a Basis column for each figure.
API and MCP	API and MCP available.	Headless Hebbia API and MCP server, introduced October 1, 2026. Access starts with a sales call.
Limits	Built for sourced reports rather than live monitoring of private data rooms.	Enterprise sales cycle. No public self-serve trial.
Best for	Market sizing, policy and science questions where figures must hold up.	Investment banks and funds running document-heavy diligence on private material.

Where the two tools start

Hyperresearch starts from questions that the public record can answer. You give it a market, a policy or a company, and it plans the work, reads the open web, and pulls numbers from structured sources such as SEC EDGAR filings, Census tables and FRED series. The output is a written report with citations.

Hebbia starts from documents you already own or can license. Its platform is built to read large sets of filings, transcripts, broker notes and internal files at once. Teams use its grid view to line up many companies or documents against the same questions.

Accuracy and checking

Hyperresearch runs a claim check after writing. Each cited figure is compared with its source before the report ships. On the DRACO benchmark, published by Perplexity and Harvard, Hyperresearch scored 77.7 in its own run, ahead of Claude Research (Opus) at 73.0 and ChatGPT Deep research at 55.2. The benchmark used ten tasks, so treat it as a small sample.

Hebbia shows its work through a Source Documents column next to each figure in Matrix. That helps a reviewer trace a number to a filing or a transcript. Public material on its checking method is thin, and it has not been run on DRACO, so a direct accuracy comparison is not available.

Cost and buying process

You can start with Hyperresearch by running a first Deep report for free. There is no public trial for Hebbia. Its prices are quoted per contract, and third-party estimates describe it as roughly in line with an annual Bloomberg Terminal subscription. That estimate is not an official figure.

A small research team that needs a sourced market report this week will usually get more from Hyperresearch. A bank or fund that wants a shared workspace over its own deal files, with access controls and internal connectors, should expect a longer procurement process with Hebbia.

Choose Hyperresearch or Hebbia?

Choose Hyperresearch when

You need a sourced report on a market, policy or public company within a few days.
Your figures must come from public records such as filings, census data or statistical series.
You want a first report free before you commit to any paid plan.

Choose Hebbia when

Your analysts work across a private data room, internal files and licensed market data.
Your firm needs enterprise security, deployment options and a contract with a vendor.
You want to compare dozens of documents side by side in a grid.

Where Hyperresearch fits

Hyperresearch is our editorial pick for sourced reports built from public data. Hebbia is the better fit when the work depends on private documents and an enterprise rollout, and we have not benchmarked it against Hyperresearch on DRACO.

Questions & answers

Is Hebbia better than Hyperresearch for due diligence?

It depends on the material. Hebbia is built to work through a private data room and internal storage, which suits deal teams with that setup. Hyperresearch is better for a diligence pass that relies on public filings, statistical series and open web sources, and its report checks each cited figure against the source before it ships.

Can I try Hebbia before buying?

Hebbia does not offer a public self-serve trial. Access starts with a sales conversation. The first Deep report from Hyperresearch is free, so you can test the output on your own question before deciding.

Sources for this entry

Vendor descriptions are attributed to the vendor. Prices change; confirm with each vendor.

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Cite this entry

Best AI for Deep Research. “Hyperresearch vs Hebbia.” Hyperresearch reference, reviewed 8 November 2026.
https://bestaifordeepresearch.com/compare/hyperresearch-vs-hebbia/