Home/r/aiagents/2025-08-02/#search-api-for-financial-market-data
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I built a search API for agents to query financial market data in natural language

r/aiagents
8/2/2025

Content Summary

The author built a search API that allows AI agents to query financial market data using natural language. The API can handle requests for stock prices, crypto, and FX data, and automatically resolves nicknames to tickers and understands vague date ranges. It integrates with popular frameworks like LangChain, LlamaIndex, and Vercel AI SDK, and provides structured data in JSON format. The post asks if this solution would help others facing similar challenges in building AI agents for financial analysis.

Opinion Analysis

Mainstream opinion suggests that the author's search API addresses a real pain point for AI agents in finance, particularly around handling financial data from multiple sources. Many users appreciate the ability to query data naturally and receive structured responses. There is also interest in expanding the API to other domains like scientific research, as suggested by one comment. However, there is no explicit conflict or controversy in the discussion. The focus remains on the practical benefits of the API and its potential to simplify financial data integration for AI agents.

SAAS TOOLS

SaaSURLCategoryFeatures/Notes
LangChain-AI Agent FrameworkTool calls to finance APIs are brittle according to the post
Vercel AI SDK-AI Development KitTool calls to finance APIs are brittle according to the post
LlamaIndex-AI Data IndexingTool calls to finance APIs are brittle according to the post
ScreenStudio-Video Editing ToolMentioned by the author for video editing purposes

USER NEEDS

Pain Points:

  • LLMs don't know most stock tickers outside the big ones well enough
  • Tool calls to standard finance APIs in LangChain / Vercel AI SDK / LlamaIndex are brittle
  • Integrating multiple sources (crypto API + FX API + stock market API) is a mess

Problems to Solve:

  • Improve agent understanding of financial data through natural language queries
  • Simplify integration of multiple financial data sources into a single query
  • Enable agents to retrieve structured, ready-to-use financial data

Potential Solutions:

  • A search API that allows agents to query financial market data in natural language
  • An API that resolves nicknames to tickers and understands vague date ranges
  • A system that returns OHLC + volume for all requested assets in one JSON

GROWTH FACTORS

Effective Strategies:

  • Building a tool that solves a specific pain point for AI agents in finance
  • Offering integrations with popular frameworks like LangChain, LlamaIndex, and Vercel AI SDK
  • Providing SDKs for Python and TypeScript to increase accessibility

Marketing & Acquisition:

  • Leveraging community engagement on platforms like Reddit and AI agent forums
  • Demonstrating the value of the API through real-world use cases and examples

Monetization & Product:

  • Focusing on solving a niche problem in the finance and AI agent space
  • Expanding the API's capabilities beyond just stock market data to include research content like ArXiv and PubMed

User Engagement:

  • Encouraging feedback and discussion through comments and community interaction
  • Offering tools that can be easily integrated into existing workflows to improve user adoption