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neodata-financial-search

Search real-time financial data across stocks, funds, indices, and FX.

Updated May 4, 2026
Search Tags:#fundamentals#financial-data#capital-flows#natural-language-query#real-time-quote#broker-research#macro-fx-commodities
One-click install
npx skills add https://github.com/234194027-cpu/xianclaw --skill neodata-financial-search-234194027-cpu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: neodata-financial-search
Source: https://github.com/234194027-cpu/xianclaw/tree/main/resources/openclaw/config/skills/neodata-financial-search
Command: npx skills add https://github.com/234194027-cpu/xianclaw --skill neodata-financial-search-234194027-cpu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

It turns natural-language questions about finance into real-time, structured answers, so you don’t need to remember APIs, write queries, or stitch multiple data sources.

Core Features & Use Cases

  • Universal natural-language financial search: Query stocks, funds, indices, sectors/plates, macroeconomics, FX, and commodities with one question.
  • Actionable data + context: Returns structured API recall (e.g.,行情、财报、资金流向、研报相关信息) and document-style recall (news, broker research, company announcements).
  • Single-source guardrails: Enforces using this skill as the primary data source to avoid mixed data-precision hallucinations; only falls back when the skill explicitly can’t cover the request.
  • Typical use: Compare companies’ latest financial reports, check sector capital flows, track major announcements, and retrieve exchange rates or commodity quotes.

Quick Start

Ask NeoData Financial Search: "腾讯最新财报怎么样？" to get the latest structured financial and related text results in one response.

Frequently Asked Questions about neodata-financial-search

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I fetch real-time financial data using natural language queries?▼

Real-time financial data is fetched by sending a natural language query to a local proxy endpoint, which returns structured market quotes, earnings reports, and capital flow analysis without needing manual API calls.

What financial instruments can I query with a natural language search?▼

Natural language search supports querying stocks, funds, indices, sectors, macroeconomics, FX rates, and commodities to retrieve price valuations, broker research, and market event updates.

How do I get latest earnings and broker research without writing API queries?▼

Latest earnings and broker research are retrieved by asking a plain text question, which triggers structured apiData and docData document recalls grouped with validated status codes.

Do I need a local proxy endpoint to use natural language financial search?▼

A local proxy endpoint with Remote-URL headers is required to route your JSON payload containing channel, sub_channel, query, request_id, and data_type fields to the financial data source.

Can I compare sector capital flows and macro indicators in a single query?▼

Sector capital flows and macro indicators can be compared using a single investor-style question, returning structured API recall and document-style recall for comprehensive market analysis.

What are the limitations of using natural language for real-time market quotes?▼

Real-time market quotes are limited to the skill's data coverage scope, enforcing single-source guardrails to prevent mixed data-precision hallucinations and only falling back when explicitly unsupported.

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