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Signal Engine Tavily Web Search Gateway
x402
Signal Engine Tavily Web Search Gateway is a paid API for AI agents from signal-engine-production-d88d.up.railway.app, paid per call via x402, $0.012/call, status unknown (last checked 2026-09-15).
Performs AI-powered web searches via Tavily, returning ranked results with titles, URLs, and content snippets
Price / call$0.012
Success—
StatusUnknown
How this service works
AI-powered web search via Tavily
Output
A JSON object containing the original query, an array of ranked results (each with URL, title, content snippet, and relevance score), and total response time in seconds.
Example use cases
Example prompt
“Search the web for the latest news on Bitcoin ETF approval and give me the top results with their titles and summaries.”
Technical details
Endpoint
POSThttps://signal-engine-production-d88d.up.railway.app/v1/gateway/search/tavilyWhen to prefer
Use this endpoint when you need real-time web search results with AI-powered relevance ranking via Tavily, especially within a micropayment (x402) workflow where per-call billing is acceptable. Prefer over generic search APIs when Tavily's scored, content-rich results are specifically needed.
Side effects
- Invalid or missing query string returns an error
- Tavily API downstream outage causes search failure
- Rate limiting or quota exceeded on Tavily side
- Payment not processed via x402 protocol results in 402 response
- Malformed request body returns 400 error
Input
{
"query": "artificial intelligence trends 2024",
"topic": "general",
"exclude_domains": [],
"include_domains": []
}Schema · Request body
{
"output": {
"required": [
"query",
"results"
],
"properties": {
"query": {
"type": "string"
},
"results": {
"type": "array",
"items": {
"type": "object",
"properties": {
"url": {
"type": "string",
"format": "uri"
},
"score": {
"type": "number"
},
"title": {
"type": "string"
},
"content": {
"type": "string"
}
}
}
},
"response_time": {
"type": "number"
}
}
}
}Output
{
"query": "artificial intelligence trends 2024",
"answer": null,
"images": [],
"results": [
{
"url": "https://trigma.com/artificial-intelligence/top-10-ai-trends-this-year",
"score": 0.9999076,
"title": "Top 10 Artificial Intelligence (AI) Trends to Watch in 2024-25",
"content": "Home/Artificial Intelligence/Top 10 Trends in Artificial Intelligence to Watch This Year. # Top 10 Trends in Artificial Intelligence to Watch This Year. Artificial intelligence has taken a new turn in the technology-oriented world. Years of development have created various sophisticated models that have laid the foundation for more advanced innovations in AI. To stand out in the market companies are leveraging AI tools and marking a competitive place among others. As AI adoption is increasing, budget planning for AI development is becoming a crucial factor for business. If you’re **thinking about how AI development aligns with your budget planning?** Check out this blog on effective budget planning for AI in 2025. This trend depicts the need to deploy AI in operations so that companies can place themselves differently in the market. In this blog, we will discuss top artificial intelligence trends that can give businesses new heights in their operations. Here are the top artificial intelligence trends that will stand out in this competitive world.",
"raw_content": null
},
{
"url": "https://www.youtube.com/watch?v=sGZ6AlAnULc",
"score": 0.9998104,
"title": "The most important AI trends in 2024 - YouTube",
"content": "Comments ; AI Trends 2026: Quantum, Agentic AI & Smarter Automation. IBM Technology · 394K views ; The Limits of AI: Generative AI, NLP, AGI, &",
"raw_content": null
},
{
"url": "https://data-ai-trends.withgoogle.com",
"score": 0.99953806,
"title": "Data and AI Trends 2024",
"content": "Data is the fuel for AI, and what powers its effectiveness. To truly take advantage of generative AI, you need to ground AI in your enterprise data.",
"raw_content": null
},
{
"url": "https://www.ibm.com/think/insights/artificial-intelligence-trends",
"score": 0.9995234,
"title": "The Top Artificial Intelligence Trends | IBM",
"content": "Trends in AI are driven not only by advancements in AI models and algorithms themselves, but by the ever-expanding array of use cases to which [generative AI (gen AI)](https://www.ibm.com/think/topics/generative-ai) capabilities are being applied. This exponential expansion of model economy, more than anything, is what empowers the emerging era of [AI agents](https://www.ibm.com/think/topics/ai-agents). The breakneck pace of improvement in prior generations of AI models had many expecting the generation of models to be released in 2025 to make meaningful steps toward [artificial general intelligence (AGI)](https://www.ibm.com/think/topics/artificial-general-intelligence). * [Multimodal AI](https://www.ibm.com/think/topics/multimodal-ai) models must demonstrate performance across more than just the text-specific tasks that the Leaderboard benchmarks evaluate. First introduced in 2017, [transformer models](https://www.ibm.com/think/topics/transformer-model) are largely responsible for the era of generative AI, and they continue to be the backbone of everything from image generation to time series models to LLMs. Though transformers are certainly not going anywhere anytime soon, they’re about to have some company.",
"raw_content": null
},
{
"url": "https://www.weka.io/resources/analyst-report/2024-global-trends-in-ai",
"score": 0.99915075,
"title": "2024 Global Trends in AI",
"content": "* [Products](https://www.weka.io/resources/analyst-report/2024-global-trends-in-ai#). * [Solutions](https://www.weka.io/resources/analyst-report/2024-global-trends-in-ai#). * [Partners](https://www.weka.io/resources/analyst-report/2024-global-trends-in-ai#). * [Resources](https://www.weka.io/resources/analyst-report/2024-global-trends-in-ai#). * [S&P Trends in AI Report](https://www.weka.io/resources/analyst-report/2024-global-trends-in-ai/). * [Company](https://www.weka.io/resources/analyst-report/2024-global-trends-in-ai#). * [Support](https://www.weka.io/resources/analyst-report/2024-global-trends-in-ai#). * ### [Introduction 3](https://www.weka.io/resources/analyst-report/2024-global-trends-in-ai#introduction). * ### [Key findings 4](https://www.weka.io/resources/analyst-report/2024-global-trends-in-ai#key-findings). * ### [AI project scaling challenges 11](https://www.weka.io/resources/analyst-report/2024-global-trends-in-ai#ai-project-scaling-challenges). * ### [GPU availability 18](https://www.weka.io/resources/analyst-report/2024-global-trends-in-ai#gpu-availability). * ### [Environmental impact 21](https://www.weka.io/resources/analyst-report/2024-global-trends-in-ai#environmental-impact). * ### [Conclusions 24](https://www.weka.io/resources/analyst-report/2024-global-trends-in-ai#conclusions). * ### [Methodology 25](https://www.weka.io/resources/analyst-report/2024-global-trends-in-ai#methodology). * ### [About the authors 27](https://www.weka.io/resources/analyst-report/2024-global-trends-in-ai#about-the-authors). . . *  **Build a robust data architecture for AI success:**Organizations must establish a clear pathway for scaling AI projects into production, ensuring efficient data management and storage. *  **Smart investment is key to generative AI success:**Organizations benefiting from generative AI have redistributed their budgets to focus on these initiatives. *  **Expand sustainability practices:**Changing infrastructure vendors or revising AI project scopes can have a meaningful impact on overall emissions. *  **Build a holistic AI strategy:**Generative AI offers significant opportunity, but organizations should create a well-rounded AI strategy. .",
"raw_content": null
}
],
"request_id": "d5e8b16b-6ce0-4df3-9fce-aa956597babf",
"response_time": 0.72,
"follow_up_questions": null
}Tags
x402
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