TinyFish vs Valyu

Valyu is best suited to AI knowledge work that turns scientific and financial evidence into cited reports and structured findings. It combines specialist datasets, covered licensed publications and a team's internal documents. TinyFish is best known for browser automation and web agents that navigate websites and complete tasks.

TL;DR

Choose Valyu when the work is to investigate evidence, compare findings, use specialist datasets and produce a research report. TinyFish focuses on browser automation and website scraping. Valyu lets teams select research sources, attach their own documents and reuse a saved brief for the next assignment.

TinyFish vs Valyu at a glance

Select the sources the research needs

Valyu's source catalogue includes scientific papers, clinical trials, biological records, patents, SEC filings and financial data. Teams can choose the sources for a specific investigation, then compare them with their own results.

For a research application, this means the brief can name the evidence it needs: a reported property in a paper, a composition in patent claims, or the financial assumptions behind a project budget.

For instance, An R&D team choosing a solid electrolyte needs to compare conductivity values under the reported temperatures and measurement conditions. Processing constraints may rule out a candidate before the first prototype. The next experiment depends on the methods and tables behind the numbers.

Attach the lab's requirements and ask:

Compare sulfide solid electrolytes considered for our battery prototype, using the literature and relevant patent records. For each material, report ionic conductivity with units, temperature and measurement conditions; cite the source, identify processing constraints and leave unreported values empty.

Request a row for each material with its conditions and supporting source. Engineers can check which results are comparable, identify gaps and choose the next experiments without treating values measured under different conditions as equivalent.

Read the publication behind an assumption

For a project-funding review, Wiley finance papers and book chapters can provide passages explaining methods for valuing staged R&D investments. The finance team can compare those assumptions with its project budget and test plan.

For biomedical research, Wiley Health & Life Sciences adds passages from covered full-text publications. Access depends on the collection and account permissions; HLS is enabled per organisation.

Bring the firm's own knowledge into the research

Attach supported PDFs, Word documents or Excel workbooks to an individual DeepResearch task. Tell the agent which assumptions to check and how the documents relate to the external evidence.

For continuing archives, Valyu offers enterprise private indexes and Forward Deployed Engineers who configure retrieval around the team's work. Past memos, lab reports and portfolio reporting can contribute to the same investigation.

Make the research brief reusable

Valyu DeepResearch lets teams define the question, select search sources and specify the report structure. It conducts the investigation and returns a cited report or structured data. PDF output is supported; generating Word documents or Excel workbooks requires code execution.

Save a useful brief through the Workflows API and reuse it with new inputs. Workflows is in Beta. A pinned version preserves the instructions, while live sources and findings can still change.

Which should you choose?

TinyFish is a fit when the task requires navigating a website, working through a portal or completing a form. Choose Valyu for the evidence review, material comparison or internal-document research that informs the team's next decision.

Start with a research question and the sources it must use. Attach the relevant test report, request the comparison table and inspect the reported conditions and citations.

Try Valyu or talk to the team about licensed sources and private indexes. For an existing agent, use the MCP setup guide.