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Swarms Research Agent
x402
Swarms Research Agent is a paid API for AI agents from mcp-gateway.swarms.world, paid per call via x402, $0.25/call, status unknown (last checked 2026-09-14).
Runs an AI-powered research agent on an arbitrary task and returns synthesized findings
Price / call$0.25
Success—
StatusUnknown
How this service works
Run the Swarms Research Agent on a task.
Output
Returns a job_id identifying the research run, a free-text 'output' field containing the agent's synthesized research findings, and a timestamp of when the output was generated.
Example use cases
Example prompt
“Can you use the Swarms research agent to investigate the current state of quantum computing breakthroughs and summarize what companies are leading the space?”
Technical details
Endpoint
POSThttps://mcp-gateway.swarms.world/research-agentWhen to prefer
Use this endpoint when you need an autonomous AI agent to perform open-ended research on a topic, synthesize information from multiple sources, and return a coherent written summary — especially when the task requires multi-step reasoning or web-level information gathering rather than a simple lookup.
Side effects
- Missing 'task' field returns a validation error
- Task too vague or ambiguous may produce low-quality output
- Service unavailable or overloaded may return 5xx
- Payment not authorized (x402) blocks execution
- Task exceeds complexity or length limits
Input
{
"task": "Research the current state of artificial intelligence in healthcare and provide a summary of recent developments"
}Output
{
"job_id": "156af1ce-2c81-494b-bb05-281c54fea597",
"output": "# Research Tool Output Summary\n\n## Overview\nA search for AI in healthcare was executed successfully, retrieving 5 relevant results spanning recent reviews and peer-reviewed sources. The search completed in 4.3 seconds at minimal cost ($0.012).\n\n---\n\n## Key Sources Retrieved\n\n| Source | Type | Date | Authority |\n|--------|------|------|-----------|\n| **2025 Watch List: AI in Healthcare** | NCBI Bookshelf | Current | US National Library of Medicine (high authority) |\n| **AI in Healthcare: 2024 Year in Review** | PrePrint (medRxiv) | 2025-02-26 | Multi-author review, 12+ contributors |\n| **AI in Healthcare: 2025 Year in Review** | PrePrint (medRxiv) | Current | Multi-author review (appears to be 2025 update) |\n| **Differential Diagnosis with LLMs** | Nature Research Article | 2025-04-09 | Peer-reviewed, top-tier journal |\n| **2025 AI Trends in Healthcare Overview** | Trade Publication | 2025-01-06 | HealthTech Magazine (industry-focused) |\n\n---\n\n## Strengths of Results\n\n✓ **Recent coverage** — Multiple 2025 sources capture cutting-edge developments \n✓ **Mixed authority levels** — Includes peer-reviewed (Nature), preprints (medRxiv), government databases (NCBI), and trade press \n✓ **Thematic overlap** — Multiple year-in-review summaries suggest robust editorial coverage \n✓ **Specific application focus** — Nature article on differential diagnosis with LLMs points to concrete use cases\n\n---\n\n## Limitations and Gaps\n\n⚠️ **Incomplete content extraction** — Most results show truncated text summaries; full article bodies are not displayed, limiting immediate insight synthesis \n⚠️ **Preprint reliance** — Two key results are medRxiv preprints (not yet peer-reviewed); useful for timeliness but lower epistemological weight than published articles \n⚠️ **No specific data/statistics** — Search results do not include quantified findings (e.g., adoption rates, clinical performance metrics, cost savings) \n⚠️ **No regulatory or policy context** — Missing FDA approvals, reimbursement updates, or compliance frameworks (common decision drivers)\n\n---\n\n## Recommended Next Steps\n\n1. **Retrieve full-text articles** — Access the Nature article and medRxiv preprints to extract specific claims, methodologies, and quantified findings.\n2. **Broaden search with specificity** — If your goal is to answer a particular question (e.g., \"Which AI applications have FDA clearance?\" or \"What is the ROI of AI in hospital systems?\"), revise the query to be more targeted.\n3. **Add regulatory sources** — Search for FDA clearances, EMA decisions, CMS coverage policies, or professional society guidance (e.g., ACR, AMA).\n4. **Cross-check preprints** — Verify whether the medRxiv reviews have been published in peer-reviewed journals.\n\n---\n\n**Last updated: 2025-04-01 (UTC)**",
"timestamp": "2026-06-12T04:41:18.163873"
}Schema · Response
| Field | Type | Description |
|---|---|---|
| job_id | string | The id of the output |
| output | string | The output of the research agent |
| timestamp | string | The timestamp of the output |
Tags
x402
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