Extract forward-looking inflation cues from BLS publications, Federal Reserve communications, and venture capital reports. Gain an edge in interpreting how pricing sentiment evolves across sectors and the broader economy, well beyond what headline figures reveal. It will only take you 5 minutes and will guide you through: ✅ Install bigdata-client package
✅ Authenticate to bigdata.com
✅ Create list of Market Narratives sources
✅ Search for documents
✅ Chat with Market Narrative sources
Ready to get started? Let’s dive in! Open in Colab

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Install bigdata-client package

Follow Prerequisites instructions to set up the require environment.

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Authenticate to bigdata.com

Because, you have already set your credentials in the environment following the Prerequisites step, The Bigdata constructor will read them automatically. 
from bigdata_client import Bigdata

bigdata = Bigdata()

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Create list of Market Narrative sources

These sources name start with the text Pricing Culture
  • Pricing Culture - Venture Capital
  • Pricing Culture - Sports Collectibles
  • Pricing Culture - BLS Publications
  • Pricing Culture - Federal Reserve
  • Pricing Culture - Netflix Reports
  • Pricing Culture - US Daily Weather
  • Pricing Culture - SEC Earnings Filings
  • Pricing Culture - Hedge Fund Letters
  • Pricing Culture - Cultural Asset Auction
  • Pricing Culture - Money Line Wagers
  • Pricing Culture - US Residential Real Estate
  • Pricing Culture - S&P 500 Earnings PR
from bigdata_client.query import Source, Any, Entity

# Create the list of source ids needed
sources = bigdata.knowledge_graph.find_sources("Pricing Culture")
print(sources)
Output: 
id='5B4903' name='Pricing Culture - Venture Capital' volume=None description='Pricing Culture - Venture Capital is a resource and connector for founders and CEOs seeking all stages of venture capital and institutional investment.' entity_type='SRCE' publication_type='News' language='English' country='US' source_rank='1' retention=<SourceRetentionPeriod.FULL_HISTORY: '99Y'> provider_id='PRCL' url='https://www.pricingculture.com/' favicon='https://cdn.prod.website-files.com/670700a766fa5f5879002120/6707a8edde91dd981389df75_Ellipse%202.svg'
id='9F11A1' name='Pricing Culture - Sports Collectibles' volume=None description='Pricing Culture - Sports Collectibles is a source that focuses on the world of sports memorabilia, antiques, and collectibles, serving as a resource for collectors, enthusiasts, and investors in the sports collectibles market.' entity_type='SRCE' publication_type='News' language='English' country='US' source_rank='1' retention=<SourceRetentionPeriod.FULL_HISTORY: '99Y'> provider_id='PRCL' url='https://www.pricingculture.com' favicon='https://cdn.prod.website-files.com/670700a766fa5f5879002120/6707a8edde91dd981389df75_Ellipse%202.svg'
id='A949ED' name='Pricing Culture - BLS Publications' volume=None description='Pricing Culture - BLS Publications is a source of reports, journals, articles, and other written materials published by the Bureau of Labor Statistics (BLS), a unit of the U.S. Department of Labor. It offers analysis, data, and insights on topics related to the labor force, including employment, wages, inflation, productivity, and economic trends.' entity_type='SRCE' publication_type='News' language='English' country='US' source_rank='1' retention=<SourceRetentionPeriod.FULL_HISTORY: '99Y'> provider_id='PRCL' url='https://www.pricingculture.com/' favicon='https://cdn.prod.website-files.com/670700a766fa5f5879002120/6707a8edde91dd981389df75_Ellipse%202.svg'
id='19293A' name='Pricing Culture - Federal Reserve' volume=None description='Pricing Culture - Federal Reserve is the central banking system of the United States, providing information on monetary policy, economic research, and financial regulation through its official website.' entity_type='SRCE' publication_type='News' language='English' country='US' source_rank='1' retention=<SourceRetentionPeriod.FULL_HISTORY: '99Y'> provider_id='PRCL' url='https://www.pricingculture.com/' favicon='https://cdn.prod.website-files.com/670700a766fa5f5879002120/6707a8edde91dd981389df75_Ellipse%202.svg'
id='988943' name='Pricing Culture - Netflix Reports' volume=None description='Pricing Culture - Netflix Reports is the official investor relations hub providing comprehensive insights into Netflix’s corporate profile, financial performance, and strategic updates.' entity_type='SRCE' publication_type='News' language='English' country='US' source_rank='1' retention=<SourceRetentionPeriod.FULL_HISTORY: '99Y'> provider_id='PRCL' url='https://www.pricingculture.com/' favicon='https://cdn.prod.website-files.com/670700a766fa5f5879002120/6707a8edde91dd981389df75_Ellipse%202.svg'
id='4E5D69' name='Pricing Culture - US Daily Weather' volume=None description='Pricing Culture - US Daily Weather is a source that provides information and forecasts about weather conditions across the United States for a specific day.' entity_type='SRCE' publication_type='News' language='English' country='US' source_rank='1' retention=<SourceRetentionPeriod.FULL_HISTORY: '99Y'> provider_id='PRCL' url='https://www.pricingculture.com/' favicon='https://cdn.prod.website-files.com/670700a766fa5f5879002120/6707a8edde91dd981389df75_Ellipse%202.svg'
id='B0D8F5' name='Pricing Culture - SEC Earnings Filings' volume=None description="Pricing Culture - SEC Earnings Filings is a public company's submission of its financial performance to the U.S. Securities and Exchange Commission (SEC)." entity_type='SRCE' publication_type='News' language='English' country='US' source_rank='1' retention=<SourceRetentionPeriod.FULL_HISTORY: '99Y'> provider_id='PRCL' url='https://www.pricingculture.com/' favicon='https://cdn.prod.website-files.com/670700a766fa5f5879002120/6707a8edde91dd981389df75_Ellipse%202.svg'
id='4CE39D' name='Pricing Culture - Hedge Fund Letters' volume=None description='Pricing Culture - Hedge Fund Letters is a collection of shareholder letters, investment updates, and commentary from leading hedge funds and asset managers.' entity_type='SRCE' publication_type='News' language='English' country='US' source_rank='1' retention=<SourceRetentionPeriod.FULL_HISTORY: '99Y'> provider_id='PRCL' url='https://www.pricingculture.com/' favicon='https://cdn.prod.website-files.com/670700a766fa5f5879002120/6707a8edde91dd981389df75_Ellipse%202.svg'
id='577526' name='Pricing Culture - Cultural Asset Auction' volume=None description='Pricing Culture - Cultural Asset Auction is an online platform that provides insights on auctions for vintage cars, art, collectibles, memorabilia, and other cultural assets.' entity_type='SRCE' publication_type='News' language='English' country='US' source_rank='1' retention=<SourceRetentionPeriod.FULL_HISTORY: '99Y'> provider_id='PRCL' url='https://www.pricingculture.com/' favicon='https://cdn.prod.website-files.com/670700a766fa5f5879002120/6707a8edde91dd981389df75_Ellipse%202.svg'
id='115C1F' name='Pricing Culture - Money Line Wagers' volume=None description='Pricing Culture - Money Line Wagers is an online source that delivers stories containing the odds for money line bets for all MLB, NBA, and NFL games.' entity_type='SRCE' publication_type='News' language='English' country='US' source_rank='1' retention=<SourceRetentionPeriod.FULL_HISTORY: '99Y'> provider_id='PRCL' url='https://www.pricingculture.com/' favicon='https://cdn.prod.website-files.com/670700a766fa5f5879002120/6707a8edde91dd981389df75_Ellipse%202.svg'
id='54E43E' name='Pricing Culture - US Residential Real Estate' volume=None description='Pricing Culture - US Residential Real Estate is a source for the residential real estate market in the United States that provides news, analysis, and insights into market trends, home prices, mortgage rates, and other factors influencing residential property transactions.' entity_type='SRCE' publication_type='News' language='English' country='US' source_rank='1' retention=<SourceRetentionPeriod.FULL_HISTORY: '99Y'> provider_id='PRCL' url='https://www.pricingculture.com' favicon='https://cdn.prod.website-files.com/670700a766fa5f5879002120/6707a8edde91dd981389df75_Ellipse%202.svg'
id='F980BF' name='Pricing Culture - S&P 500 Earnings PR' volume=None description='Pricing Culture - S&P 500 Earnings PR is a formal announcement issued by the companies in the S&P 500 Index regarding their earnings reports.' entity_type='SRCE' publication_type='News' language='English' country='US' source_rank='1' retention=<SourceRetentionPeriod.FULL_HISTORY: '99Y'> provider_id='PRCL' url='https://www.pricingculture.com/' favicon='https://cdn.prod.website-files.com/670700a766fa5f5879002120/6707a8edde91dd981389df75_Ellipse%202.svg'

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Search for documents

We will create a query to search for documents that discuss quantum computing within the last 48 hours from the Pricing Culture sources. 
from bigdata_client.daterange import RollingDateRange
from bigdata_client.query import Similarity

# Create Query
query = Similarity("Quantum Computing Narratives") & Any(sources)

# Create Search with query and date range
search = bigdata.search.new(query, date_range=RollingDateRange.LAST_FORTY_EIGHT_HOURS)

# Run the search and retrieve the most relevant chunks from the top two documents.
documents = search.run(2)

# Print out documents
for doc in documents:
    print(doc)
    print()
Output: 
Document ID:        DAC2EF7CD3E083E53EE3D73299097100
Timestamp:                       2025-07-23 00:00:00
Scope:                                          News
Source (Rank): Pricing Culture - S&P 500 Earnings PR (1)
Title: IBM (IBM) Raises Outlook on Free Cash Flow as Software and Infrastructure Revenue Grows
Document Url: https://www.prnewswire.com/news-releases/ibm-releases-second-quarter-results-302512400.html
Language:                                    English
Sentiment:                                      0.24
====Sentence matches====
*- Will Modest Consulting Revenue Growth Aid IBM's Q2 Earnings?
- Will Higher Software Revenues Buoy IBM's Earnings in Q2?
- Want to Invest in Quantum Computing? 4 Stocks That Are Great Buys Right Now
- The S&P 500 Is Up 7% Year to Date, but These 3 Stocks More Than Doubled That Return So Far. Is It Time to Buy?
- Own Amazon Stock ( AMZN ) ? This Is the 1 Thing to Watch Now.
- 3 Cybersecurity Stocks You Can Buy and Hold for the Next Decade
- 2 Top Quantum Computing Stocks to Buy in July
- Prediction: 3 Stocks That Will Be Worth More Than Palantir 5 Years From Now
- IBM Stock Before Q2 Earnings Release: To Buy or Not to Buy?
- Microsoft To Rally More Than 14%? Here Are 10 Top Analyst Forecasts For Friday - Abbott Laboratories ( NYSE:ABT ) , Amphenol ( NYSE:APH )
--

Document ID:        FBB6F93B55C5FE58903FD5000CEBDD05
Timestamp:                       2025-07-23 00:00:00
Scope:                                          News
Source (Rank): Pricing Culture - SEC Earnings Filings (1)
Title: T-Mobile US Inc. (TMUS) Q2 2025 Earnings Analysis: Revenue Growth Driven by Postpaid and Equipment Sales, Offset by Decline in Wholesale Revenues
Document Url: https://www.sec.gov/Archives/edgar/data/0001283699/000128369925000117/tmus-20250630.htm
Language:                                    English
Sentiment:                                      0.06
====Sentence matches====
Section:                                    ['body']
*Management Discussion Summary The Management Discussion and Analysis (MD&A) in T-Mobile's 10-Q filing provides a narrative explanation of the company's financial condition, results of operations, cash flows, and liquidity, offering context to the financial statements and insights into future performance. Key highlights include revenue growth driven by postpaid and equipment sales, strategic acquisitions and joint ventures aimed at expanding fiber and advertising capabilities, and the impact of the One Big Beautiful Bill Act (OBBBA) on future tax liabilities. The MD&A also discusses the completion of substantially all restructuring and integration costs associated with the Sprint Merger.
--
🎯 Et Voilà! You’ve searched through tens of millions of document chunks and returned 2 of the most relevant.

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Chat with Market Narratives sources

You can also use those sources in the Chat Service: 
# Create a Chat instance
chat = bigdata.chat.new("Quantum Computing Narratives")

# Ask a question with source filtering, so the response will contain data from your specified Market narrative sources.
response = chat.ask("New trends in quantum computing", source_filter=sources, streaming=True)

print(f"\nQuestion:\n - {response.question}")
print(f"\nAnswer:")
for streamingChatInteraction in response:
  print(streamingChatInteraction, end="")
Check out Inline Attribution Details to get details about the documents used to craft the response.