Perplexity Launches Finance Search API for Real-Time Market Data and Filings

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Perplexity launched Finance Search in its Agent API, allowing developers to retrieve licensed financial datasets and real-time market data through a single tool call. By consolidating fragmented data sources into a unified schema, the tool enables agents to perform complex valuation lookups with verifiable citations. This shifts financial agent development from manual data integration to a standardized retrieval layer that prioritizes factual grounding.

Perplexity, an AI-powered answer engine, launched Finance Search in its Agent API to retrieve licensed financial data and cited web sources. Instead of managing multiple integrations, developers use one tool call to access company fundamentals. This follows the launch of Perplexity's Computer for Professional Finance.
Tool name
finance_search
Data sources
Licensed financial datasets, real-time market data, web
Supported data
Prices, fundamentals, earnings, filings
Benchmark
FinSearchComp T1
Availability
Perplexity Agent API

This update addresses data fragmentation in financial AI, where agents often struggle with hallucinations (plausible-sounding but fabricated information). By grounding responses in structured, licensed sources, the system improves accuracy for time-sensitive queries. This focus on efficiency adds to Perplexity's ROSE inference engine work to reduce operational costs.

You can use the finance_search tool to build agents for valuation lookups, earnings recaps, and market monitors. Every result includes inline citations to primary sources like SEC filings, ensuring that financial decisions remain verifiable. The tool is available now through the Perplexity Agent API with documentation providing tested configurations.

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Finance Search is now available in the Perplexity Agent API. In one tool call, developers can now retrieve licensed financial datasets, real-time market data, and cited web sources for agents that need current, verifiable financial answers. https://t.co/cfZM7qfboc

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Still wondering? A few quick answers below.

Perplexity Finance Search is a specialized tool within the Perplexity Agent API that allows developers to retrieve licensed financial datasets, real-time market data, and cited web sources. It consolidates fragmented information like stock prices, company fundamentals, and earnings transcripts into a single tool call, providing a consistent data schema for building financial AI agents.

When a developer sends a request to the Agent API that requires financial data, the model invokes the Finance Search tool. The system then routes the query to relevant licensed sources and web data behind the scenes. It returns results in a standardized format with inline citations, allowing agents to generate accurate charts, memos, or research reports.

Developers can use Finance Search to retrieve a wide range of time-sensitive financial information. This includes real-time market prices, company fundamentals, earnings call transcripts, management estimates, and regulatory filings. The tool is designed to support workflows like valuation lookups, balance sheet monitoring, and earnings recaps without requiring separate integrations for every individual data provider.

Finance Search improves accuracy by retrieving data directly from structured, licensed sources instead of relying on generic web search results. This targeted retrieval allows the model to process fewer, more relevant tokens, which reduces the overall cost per correct answer. In internal benchmarks, this configuration demonstrated higher consistency and lower operational costs for time-sensitive financial queries.

Finance Search is currently available to developers using the Perplexity Agent API. It is specifically designed for teams building financial agents, research assistants, or market monitoring tools that require verifiable and current data. While analysts can use the consumer-facing Computer for Professional Finance interface, this API tool is the primary surface for programmatic financial data retrieval.

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