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bigdata-skill

Pull structured financials, prices, and sentiment data from Bigdata.com via SDK and REST endpoints.

1.4k|216|Updated Oct 22, 2025
Search Tags:#financial data#sentiment analysis#cost tracking#investment research#REST api#BigData#ravenpack
One-click install
npx skills add https://github.com/daymade/claude-code-skills --skill bigdata-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bigdata-skill
Source: https://github.com/daymade/claude-code-skills/tree/main/daymade-financial/bigdata-skill
Command: npx skills add https://github.com/daymade/claude-code-skills --skill bigdata-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

The Bigdata.com MCP server returns only pre-synthesized prose and tearsheets, hiding the machine-readable substrate — per-chunk sentiment, entity spans, fiscal-period time series, and universe screeners — needed to build investment-research data pipelines.

Core Features & Use Cases

  • Structured Financial Data via REST: Access analyst estimates, earnings surprises, event calendars, ratings, price targets, full financial statements, TTM ratios, daily prices, dividends, and revenue segments through official /v1/* endpoints the SDK never wrapped.
  • Annotated News Search: Retrieve news/filing/transcript chunks with numeric sentiment scores and entity character spans that the MCP strips out.
  • Cost-Guarded Operations: Built-in CostTracker and CostModel measure chunk-level billing, veto over-budget backfills before running, and enforce ChunkLimit to avoid the doc-limit billing trap.
  • Use Case: Resolve NVIDIA to its rp_entity_id, pull forward analyst consensus and the earnings calendar for free, then run a cost-capped annotated chunk search on "data center" keyword — all with measured quota spend.

Quick Start

Set the BIGDATA_API_KEY environment variable, install bigdata-client in a Python 3.12 venv, then ask the assistant to pull analyst estimates and sentiment data for a ticker using the bigdata toolkit.

Frequently Asked Questions about bigdata-skill

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

FAQPage Schema
How do I get structured financial data from Bigdata.com API?▼

Use the bigdata-client SDK's internal bd._api.http transport to POST to official /v1/* endpoints like analyst-estimates/query, income-statement/query, and price/daily/query. These endpoints reuse the same JWT authentication and are free of chunk billing.

Why does the Bigdata MCP not return sentiment scores per news chunk?▼

The Bigdata MCP server is chat-optimized and returns only synthesized prose and tearsheets, stripping per-chunk sentiment numbers and entity character spans. Drop to the SDK's AnnotatedSearcher or REST layer to access the underlying structured fields.

Does Bigdata.com work for Chinese A-share stocks?▼

Structured financial data works for A-shares when you resolve entities via English names or ISIN codes, since Chinese name lookups return zero hits. However, Chinese-language NLP (entity detection and chunk sentiment) is a data-source-level dead end.

How does Bigdata.com chunk billing work?▼

One query_unit equals 10 chunks, and only chunk-search operations are billed — structured endpoints like financials, prices, and estimates are free. Always pass ChunkLimit(n) instead of a bare integer to Search.run, since document limits bill by the full chunk page.

Why do I get SSL UNEXPECTED_EOF errors on the first Bigdata API call?▼

The SDK's HTTP layer does not retry SSL handshake EOF errors, so a single network blip becomes a hard exception, especially through outbound proxies. Wrap every network call in a retry helper that catches transient SSL, EOF, and connection markers.

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