Deep research API timing out. #321
Description
We are having an issue where perplexity deep research keeps timing out when being called with a HTTP node in n8n.
The specific response we see is this: 'The connection was aborted, perhaps the server is offline'
Error code: ECONNABORTED
Full message:
timeout of 300000ms exceeded
The api parameters are the following:
{
"model": "sonar-deep-research",
"messages": [
{"role": "user", "content": "{{ $json.text }}"}
]
}
The timeouts are always with this error and this prompt. Very rarely it will run without having this error.
When we run the prompt on the web ui of perplexity it runs flawlessly. The prompts are always in this style, though with different company names.
The prompts used is as follows:
RESEARCH OBJECTIVE
Please conduct exhaustive research on Aspen Healthcare to evaluate their fit as a potential Nova Slides client (our company), focusing on training needs, sales enablement, and conference participation as an outreach opportunity. Generate a comprehensive, fact-checked profile using ONLY verifiable information from reliable sources published within the last 24 months.
REQUIRED RESEARCH CATEGORIES
-
COMPANY OVERVIEW
Precise company metrics: employees, revenue, founding date, headquarters location (include source and date for each figure)
Specific medical device sector and primary product lines (verified from company website or regulatory filings)
Recent growth indicators from the past 24 months only (expansions, acquisitions, funding) with specific dates
Current market position and 2-3 main competitors (based on industry reports or company statements)
Venture capital funding or public company status with latest financial performance indicators -
PRODUCT INTELLIGENCE
2-3 flagship medical devices with complex training requirements (verify these are current products)
Technical complexity factors of these devices (specific components, documented operation complexity)
Product launches or FDA approvals from the past 24 months only, with exact dates
Target healthcare settings confirmed from company materials or client testimonials
Evidence of product complexity that would benefit from 3D visualization (multiple components, internal mechanisms) -
CONFERENCE & EVENT PARTICIPATION
Verified conference attendance in the past 24 months (specific event names, dates)
Evidence of booth presence or keynote speaking engagements
Documentation of demonstration methods at events
Social media or press coverage of their conference activities
Statements from executives about industry events or trade shows
Evidence of using conferences for training or sales purposes -
TRAINING INFRASTRUCTURE
Training department structure visible from LinkedIn or company website
Job postings related to training, education, or clinical affairs
Publicly documented training methodologies (from case studies, interviews)
Conference presentations on training approaches or challenges
Public references to in-person training events or programs
Evidence of customer training programs or offerings
Training-related content on company website or YouTube channel -
DIGITAL TRANSFORMATION INITIATIVES
Evidence of VR, AR, or 3D visualization exploration or implementation
Specific digital initiatives or innovation programs announced in the past 24 months
Digital content creation capabilities from published materials
Confirmed learning management systems or educational platforms in use
Public statements about digital transformation strategy
Innovation awards or recognition for technology adoption -
PAIN POINT INDICATORS
International presence requiring standardized training (countries/regions served)
Regulatory compliance mentions in public filings or press releases
Growth announcements (new markets, products, or facilities)
Logistics challenges mentioned in interviews, articles, or job postings
Product complexity factors visible in marketing materials
Customer testimonials or case studies mentioning implementation challenges
Training challenges referenced in conference presentations or interviews -
SALES & MARKETING APPROACH
Public information about sales channels and go-to-market strategy
Sales enablement content visible on website or in materials
Product demonstration videos or webinars showing current approach
Testimonials or case studies revealing sales process elements
International distributors or sales offices mentioned on website
Marketing content analysis (quality, format, interactivity level)
Sales-focused job postings revealing approach or requirements -
KEY DECISION MAKERS
Verified current Directors/VPs of Training, Education, or Clinical Affairs with exact titles
Confirmed Sales Enablement or Sales Operations leadership
Digital Transformation or Innovation leadership positions
Medical Affairs or Product Education leadership
Background information on leaders sourced directly from company bios or verified LinkedIn profiles
Direct quotes from these individuals about training, sales enablement, or digital transformation
Evidence of speaking engagements at industry conferences -
BUYING INDICATORS & MARKET SIGNALS
For public companies: fiscal year timing and financial reporting schedule
Recent technology investments or digital transformation announcements in press releases
Public statements about priorities from earnings calls, interviews, or industry presentations
RFPs or public procurement information (if available from government contracts)
Published case studies or success stories suggesting current methodologies
Public demonstrations or presentations showing current capabilities
Industry awards or recognition for innovation or technology adoption -
TECHNOLOGY & INNOVATION INDICATORS
Technology mentions in company materials, press releases, or executive interviews
Published information about LMS or training platforms (from integration partners, case studies)
Public demonstrations of technology use at conferences or in marketing materials
Innovation initiatives or programs mentioned on company website
Job postings that mention specific technologies or platforms
Partnerships with technology providers or digital agencies
Published articles or whitepapers about their technology approach
SOURCE VERIFICATION REQUIREMENTS
For EACH piece of information, please:
Provide the specific source URL
Include the publication/verification date
Assign a confidence rating:
High: multiple reliable sources
Medium: one reliable source
Low: inferred from reliable data
Mark any educated guess or inference as “INFERENCE” rather than fact
If verified information cannot be found for a specific item, state “No verified information available” rather than making assumptions.
ACCURACY ASSESSMENT
Once you’ve gathered all information, please conduct a thorough verification pass:
Cross-check facts between multiple sources where possible
Verify this is the correct company (not a similarly named organization)
Note any contradictory information found during research
Flag any information that may be outdated (even if within 24 months)
Explicitly identify any sections where verification was limited
Provide an overall assessment of confidence in the profile
Add any significant information discovered that wasn’t explicitly requested
FINAL VERIFICATION PASS
As a critical final step, please:
Review all collected information for internal consistency across sections
Check for any logical contradictions between different data points
Verify that all confidence ratings are justified by the quality and quantity of sources
Ensure all inferences are clearly marked and separated from verified facts
Prioritize the most recent sources when information has changed over time
Analyze the totality of evidence to provide an overall reliability assessment
Identify which sections have the strongest verification and which have the weakest
KEY SIGNALS ASSESSMENT
Based on verified research, rate Aspen Healthcare’s alignment (High/Medium/Low) with each of Nova Slides’ key client signals:
VR and digital transformation initiatives
Evidence of company growth/expansion
International product distribution
Active education/training department
Conference engagement (attendance, presentations, booths)
Equipment logistics challenges in training or sales
Complex devices requiring detailed visualization
PowerPoint fatigue indicators in current presentations
Budget availability and purchasing cycle alignment
Technology adoption culture and innovation receptiveness
ALTERNATIVE PROSPECTS
Suggest 2-3 similar companies in the same sector that might be worth researching if Aspen Healthcare does not show clear signals of fit with Nova Slides’ solution, particularly focusing on companies with active conference participation.
FINAL RECOMMENDATIONS
Provide a concise summary of:
The most promising verified pain points that align with Nova Slides’ solution
How conference participation could be leveraged for initial outreach
Key decision makers to target for outreach (with LinkedIn profiles when available)
Suggested entry points for sales conversations based on research findings
For public companies: optimal timing related to their fiscal schedule
Evidence-based assessment of their technology receptiveness
Overall assessment of Aspen Healthcare as a potential Nova Slides client (Priority Level: High/Medium/Low)
INFORMATION GAPS
Acknowledge areas where publicly available information was limited or unavailable, such as:
Internal budget processes or decision-making structures
Specific training metrics or ROI measurements
Detailed technology stack or integration requirements
Current vendor relationships for training technologies
Any other significant information gaps discovered during research
Please structure your research report clearly with headers and paragraph spacing for easy scanning.