DeepSearch review

DeepSearch is financial data infrastructure and AI agents for financial services—not a general-purpose web research assistant. Its tools are aimed at company research, investment analysis and valuation, using financial data that the company says is collected, cleaned and made searchable for analysis and calculations.

The data offering includes information on 1.5 million private companies. DeepSearch also says its research agents return results with verified data and supporting evidence, and it offers an Excel Add-in to bring financial data into users’ work tools. The company’s stated services also include valuation, indexes and listings.

That makes the product’s fit narrower than its name might suggest: the value depends on whether you need financial data and analysis, not just an AI that can search broadly. The available product description does not specify which data fields, sources or markets are covered, or how the agents’ answers are checked.

DeepSearch’s clearest pitch is combining financial data with research workflows. Rather than presenting itself as a chatbot that summarizes whatever it finds, the company describes a structured data layer designed to support analysis and calculations, with results tied to verified data and evidence. That could matter when research needs to be checked or reused in an investment workflow.

The stated coverage of 1.5 million private companies is a useful signal for teams researching businesses that may not appear in public-market datasets. The company also lists valuation, indexes and listings among its financial services, though the available information does not explain their scope or methodology.

• Research agents are intended for company research, investment analysis and valuation.
• The Excel Add-in is a practical route into an established work tool, rather than requiring every task to happen in a separate interface.
• The individual plans list one seat and unlimited lookups, with a 25-lookups-per-day fair-use soft cap.

For a solo analyst, the yearly option is listed at $59.99 upfront, about $5 per month. That is a low entry price if the data and workflows match the job, but it does not establish what business or team access costs.

The main catch is the lookup limit. Plans are described as offering unlimited lookups, but each also carries a 25-lookups-per-day fair-use soft cap. “Soft cap” leaves an important detail unanswered: the published pricing information does not say what happens after lookup 25, or whether usage is throttled, restricted or handled another way. Confirm that before relying on it for a busy research workflow.

The listed plans are individual plans with one seat. The published pricing information does not publish team or enterprise pricing, and it does not specify data-source coverage, update frequency, supported regions or exactly what counts as a lookup. A free plan is listed as unavailable; trial availability is not published.

Pricing is available weekly at $7.99, monthly at $19.99, quarterly at $39.99, or yearly at $59.99 upfront (about $5 per month, according to the pricing details). The yearly rate is the cheapest listed, but committing annually makes less sense until you’ve confirmed the data covers your use case. Check the cap and fit before paying.

DeepSearch lists four individual billing options, all with one seat and unlimited lookups, subject to a 25-lookups-per-day fair-use soft cap. The weekly plan is $7.99 per week; monthly is $19.99 per month; quarterly is $39.99 per quarter; yearly is $59.99 upfront, or about $5 per month. That annual commitment is the lowest monthly equivalent, but it requires paying the full year upfront. The monthly price is $14.99 more than the annual plan’s stated monthly equivalent, though the billing terms differ. The quarterly option costs $39.99 at a time, and the weekly option is for short-term access, so compare total spend over the period you expect to use it rather than just the billing interval. “Unlimited” does not mean unlimited daily usage: the 25-lookups limit is described as a soft cap, and how it is enforced is not specified. No add-ons are listed. The pricing information was checked November 6, 2026, with medium confidence; confirm current prices and cap terms before paying.

The available product information does not explain how to import existing research, export DeepSearch results, or migrate data out. It also does not publish migration steps or technical details about data portability, so we can’t estimate the work involved or say how much lock-in to expect. Before switching, ask DeepSearch what can be exported, in what formats, and whether verified sources and supporting evidence travel with the data. Confirm whether your team can share access: the listed plans include one seat, which may not fit a multi-user workflow. The Excel Add-in may matter if your financial work happens in spreadsheets, but the published information does not detail its setup or compatibility requirements. We don’t have sourced Reddit posts or comments here that explain why customers leave, so there’s no user-reported exit pattern to cite. Treat portability, seat needs, and the daily lookup soft cap as questions to resolve before moving a workflow.