Stock market analysis agent powered by Exa search and Perplexity AI, payable per-call via x402 on Base.
What it does
This Questflow-hosted x402 endpoint provides a stock market analysis agent that combines Exa search and Perplexity AI to deliver real-time market data, historical stock performance, financial news, and market insights. It accepts a natural-language text prompt via a simple POST request with an `input` field and returns an agent-generated analysis as a string response.
The endpoint is live and uses the x402 payment protocol on the Base network, accepting USDC (asset 0x8335…2913) with a maximum charge of 500,000 units (0.50 USDC at 6 decimals) per request. The maximum timeout is 1,200 seconds (20 minutes), reflecting the multi-step agentic workflow that may involve searching, retrieving, and synthesizing information from multiple sources before returning a consolidated answer.
Documentation beyond the x402 challenge and the Questflow landing page is not available. There is no OpenAPI spec, no dedicated docs page, and no usage examples from the provider. The input/output schema is minimal: send `{"input": "<your question>"}` and receive `{"response": "<agent answer>"}`. The Questflow platform focuses on AI agent clones for onchain market trading and alpha discovery, and this endpoint appears to be one of many swarm agents exposed through their x402 gateway.
Capabilities
Use cases
- —Querying real-time stock prices, trends, and market sentiment via natural language
- —Retrieving and synthesizing financial news and earnings reports for a given ticker
- —Integrating stock market research into automated trading or portfolio management workflows
- —Providing LLM-based agents with on-demand market intelligence without managing separate data subscriptions
- —Analyzing historical stock performance and valuation metrics through a single API call
Fit
Best for
- —AI agents and LLM workflows needing on-demand stock market research
- —Developers who want pay-per-call financial analysis without API key management
- —Automated trading pipelines that need synthesized market intelligence
Not for
- —High-frequency or sub-second latency trading (max timeout is 20 minutes)
- —Structured numerical data feeds (returns free-text agent responses, not structured market data)
- —Users who need guaranteed deterministic outputs or SLA-backed uptime
Quick start
curl -X POST https://api.questflow.ai/x402/swarm/qrn:swarm:68c4d1991dad762112b40f03 \
-H "Content-Type: application/json" \
-H "X-PAYMENT: <x402_payment_header>" \
-d '{"input": "Analyze AAPL stock performance over the last quarter"}'Example
Request
{
"input": "What is the current market outlook for NVDA? Include recent earnings, analyst ratings, and price targets."
}Response
{
"response": "NVIDIA (NVDA) is currently trading at $130.50 as of the latest session. In its most recent earnings report for Q1 FY2025, the company reported revenue of $26.0B, beating analyst estimates by 8%. Analyst consensus is 'Strong Buy' with a median 12-month price target of $150. Key catalysts include continued data center GPU demand driven by AI workloads..."
}Endpoint
Quality
The endpoint is live with a valid x402 402 challenge and a minimal but clear input/output schema. However, there is no OpenAPI spec, no dedicated documentation, no usage examples, and no detailed capability description beyond the marketing blurb. Most response details are inferred from the description and schema.
Warnings
- —No OpenAPI spec or dedicated API documentation available from the provider
- —Output is free-text from an AI agent — format, accuracy, and completeness are not guaranteed
- —Max timeout of 1200 seconds suggests potentially long response times
- —Exact USDC cost per request (maxAmountRequired 500000 = 0.50 USDC assuming 6 decimals) is inferred from the challenge but not confirmed by docs
- —Financial analysis output should not be treated as investment advice
Citations
- —Endpoint returns 402 with x402 challenge accepting USDC on Base network with maxAmountRequired of 500000https://api.questflow.ai/x402/swarm/qrn:swarm:68c4d1991dad762112b40f03
- —Input schema requires a string 'input' field; output returns a string 'response' fieldhttps://api.questflow.ai/x402/swarm/qrn:swarm:68c4d1991dad762112b40f03
- —Description states it leverages Exa search and Perplexity AI for stock market analysishttps://api.questflow.ai/x402/swarm/qrn:swarm:68c4d1991dad762112b40f03
- —Questflow platform focuses on AI agent clones for onchain market trading and alpha discoveryhttps://api.questflow.ai