Neodata Financial Search
Query Chinese-market financial entities, structured API metrics, and finance articles in natural language during product or investment research.
Overview
NeoData financial search is an agent skill for the Idea phase that queries NeoData for structured financial API data and finance articles from natural-language prompts.
Install
npx skills add https://github.com/bighardperson/computer-science-skills-collection --skill neodata-financial-searchWhat is this skill?
- Natural-language query to NeoData channel with workbuddy sub-channel
- data_type modes: all (API + articles), api-only, or doc-only
- Structured apiRecall blocks plus docRecall for news, research reports, and announcements
- Entity resolution with codes such as 00700.HK paired to issuer names
- TraceId on responses for debugging retrieval pipelines
- 3 data_type modes: all, api, doc
- Fixed request channels: neodata and workbuddy
Adoption & trust: 467 installs on skills.sh; 15 GitHub stars; 2/3 security scanners passed (skills.sh audits).
What problem does it solve?
You need timely issuer metrics and finance articles in one agent turn without manually switching between terminal screens and news sites.
Who is it for?
Indie builders researching China/HK-listed names, fintech copilots, or internal diligence agents already on the Workbuddy NeoData marketplace path.
Skip if: Builders who need only US SEC EDGAR flows with no NeoData access, or teams that cannot send queries to external financial data networks.
When should I use this skill?
User asks for financial data, earnings, issuer metrics, or finance articles using natural-language queries against NeoData.
What do I get? / Deliverables
You receive a parsed NeoData response with entity hits, apiRecall content blocks, and docList articles you can cite in specs or validation notes.
- Structured financial API recall content
- Grouped finance article lists from docRecall
Recommended Skills
Journey fit
Idea/research is the primary shelf because the skill answers open-ended financial questions before you commit to a fintech feature set or trading-related build. Research covers competitor, market, and filings-style discovery backed by external data—not shipping code or production monitoring.
How it compares
Use instead of ad-hoc web search for finance questions when you need NeoData’s combined API and document recall in one structured payload.
Common Questions / FAQ
Who is neodata-financial-search for?
Solo and indie developers building finance-aware agents or researching listed companies and market narratives where NeoData and Workbuddy channel access is available.
When should I use neodata-financial-search?
During Idea research when exploring tickers, earnings context, and article recall—and during Validate when confirming market facts before scoping a fintech MVP.
Is neodata-financial-search safe to install?
Queries go to external financial data services; review the Security Audits panel on this page, protect API credentials, and confirm regulatory constraints before production use.
SKILL.md
READMESKILL.md - Neodata Financial Search
{ "name": "NeoData金融搜索服务", "installedAt": 1776152025809, "source": "marketplace", "iconSource": "neodata-financial-search", "version": "1.0.0" } # NeoData 数据查询服务 - 完整参考 ## 请求参数详细说明 ```json { "query": "腾讯最新财报", // 用户自然语言查询，必填 "channel": "neodata", // 渠道信息，固定值 neodata "sub_channel": "workbuddy", // 子渠道信息，固定值 workbuddy "data_type": "all" // all=API+文章（默认）；api=仅API；doc=仅文章，可选 } ``` ## 响应字段完整说明 | 字段 | 类型 | 说明 | |------|------|------| | `code` | string | 状态码，`"200"` 表示成功 | | `msg` | string | 状态描述 | | `traceId` | string | 链路追踪 ID，可能为空 | | `suc` | boolean | 是否成功 | | `data.apiData` | object | 结构化 API 召回结果 | | `data.apiData.entity` | array\<object\> | 命中的标的列表 | | `data.apiData.entity[].name` | string | 标的代码（如 `00700.HK`） | | `data.apiData.entity[].code` | string | 标的名称（如 `腾讯控股`） | | `data.apiData.apiRecall` | array\<object\> | API 内容块列表 | | `data.apiData.apiRecall[].type` | string | 数据类型（见下方类型表） | | `data.apiData.apiRecall[].desc` | string | 类型描述 | | `data.apiData.apiRecall[].content` | string | 具体内容文本 | | `data.docData` | object | 金融类文本召回结果，包含与查询相关的财经资讯、研报、公告等文章内容 | | `data.docData.docRecall` | array\<object\> | 文档召回分组，按扩展检索词聚合 | | `data.docData.docRecall[].extQuery` | string | 扩展检索词 | | `data.docData.docRecall[].docList` | array\<object\> | 金融文章列表（财经资讯、券商研报、公司公告等） | | `data.docData.docRecall[].docList[].docId` | string | 文章唯一 ID | | `data.docData.docRecall[].docList[].title` | string | 文章标题 | | `data.docData.docRecall[].docList[].publishTime` | number | 发布时间（Unix 时间戳，秒） | | `data.docData.docRecall[].docList[].source` | string | 文章来源（媒体/机构） | | `data.docData.docRecall[].docList[].url` | string | 文章链接 | | `data.docData.docRecall[].docList[].content` | string | 文章正文或摘要 | | `data.se_params` | object | 搜索引擎预留参数 | | `data.extra_params` | object | 扩展预留参数 | ### apiRecall type 类型对照表 | type 值 | 含义 | |---------|------| | `basic_info` | 行情、财务与资金流向 | | `product_info` | 基金产品信息 | | `manager_info` | 基金经理信息 | | `company_info` | 基金公司信息 | | `stock_big_event` | 股票大事件 | | `hk_stock_profile` | 股票简况 | | `plate_stock_info` | 板块龙头股信息 | | `fund_rank_info` | 板块场内外基金 | | `fund_history` | 资金历史信息 | | `fund_aggregation` | 资金聚合信息(龙虎榜) | ## 错误码 | code | msg | 说明 | |------|-----|------| | `1001` | 未命中意图，非财报query没法处理 | 请求内容未识别到可处理的业务意图，未进入有效召回流程 | | `1616039101` | [xxx]参数值不合法！ | 入参 xxx 不合法 | | `1006` | 查询解析拒答 | 查询在解析阶段被拒绝（如策略拦截、风险或不支持场景） | ## 响应示例 <details> <summary>点击展开完整响应示例</summary> ```json { "code": "200", "msg": "操作成功", "traceId": null, "data": { "apiData": { "entity": [ { "name": "00700.HK", "code": "腾讯控股" }, { "name": "TCEHY.PS", "code": "腾讯控股(ADR)" } ], "apiRecall": [ { "type": "basic_info", "desc": "行情、财务与资金流向", "content": "【行情数据】\n市场:港股;\n股票名称:腾讯控股;股票代码:00700;..." }, { "type": "hk_stock_profile", "desc": "股票简况", "content": "腾讯控股最近回购情况：..." }, { "type": "stock_big_event", "desc": "股票大事件", "content": "腾讯控股预计财报发布事件：..." } ] }, "docData": { "docRecall": [ { "extQuery": "腾讯投资", "docList": [ { "type": "本地资讯", "docId": "SN20250221154216abd73c41", "publishTime": 1740122765, "url": "http://gu.qq.com/...", "title": "极速变阵，腾讯应对AI大变局", "content": "腾讯变了。...", "site": "21世纪经济报道", "source": "21世纪经济报道" } ] } ] }, "se_params": {},