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Smart Bond Search

Freemium

An AI-powered bond search tool using natural language processing that allows users to find bonds by typing free-form queries and receiving semantically relevant results from a database of over 1 million global bonds.

About Smart Bond Search

Smart Bond Search is powered by a RAG-based artificial intelligence model that enables users to search for bonds using natural-language queries similar to search engine interactions. The system understands user intent and selects relevant bonds contextually, with results potentially differing from traditional keyword-based searches. It covers global domestic and international bonds from 191 countries across developed and emerging markets, including sovereign, corporate, and municipal issues. The search recognizes and processes multiple parameter categories including bond identifiers, issuer information, reference parameters, percentage values, numeric values, dates, flags, and issuer ratings from major rating agencies. Smart Bond Search stands out for natural language bond search queries, semantic understanding of search intent, coverage of 1+ million global bonds, and bond identifiers (isin, cusip).

Smart Bond Search is a freemium tool. It sits in the AI Search and AI Finance space and is best used to Finding USD-denominated corporate bonds with specific rating and yield criteria, Screening bonds by duration, coupon rate, and maturity date, Identifying green bonds and ESG-compliant bond investments.

Pricing

Pricing model
Enterprise
Currency
USD
Payment options
Contract
Trial$0
7 days free
  • Access to global bond database
  • Natural language search queries
  • Limited search volume during trial period
Full AccessCustom
Contact sales
  • Unlimited natural language bond searches
  • Access to complete global bond database
  • Subscription-based authorization required

Features

  • •
    Natural language bond search queries
    Built-in support for natural language bond search queries — used for finding usd-denominated corporate bonds with specific rating and yield criteria.
  • •
    Semantic understanding of search intent
    Built-in support for semantic understanding of search intent — used for finding usd-denominated corporate bonds with specific rating and yield criteria.
  • •
    Coverage of 1+ million global bonds
    Built-in support for coverage of 1+ million global bonds — used for finding usd-denominated corporate bonds with specific rating and yield criteria.
  • •
    Bond identifiers (ISIN, CUSIP)
    Built-in support for bond identifiers (isin, cusip) — used for finding usd-denominated corporate bonds with specific rating and yield criteria.
  • •
    Issuer ratings from Moody's, S&P, Fitch
    Built-in support for issuer ratings from moody's, s&p, fitch — used for finding usd-denominated corporate bonds with specific rating and yield criteria.
  • •
    Filtering by region, country, currency, sector, yield, duration
    A reason power-users stick with Smart Bond Search for finding usd-denominated corporate bonds with specific rating and yield criteria.
  • •
    Green bonds and ESG bond identification
    Built-in support for green bonds and esg bond identification — used for finding usd-denominated corporate bonds with specific rating and yield criteria.
  • •
    Search feedback mechanism
    Built-in support for search feedback mechanism — used for finding usd-denominated corporate bonds with specific rating and yield criteria.

AI Models used

The foundation models that power Smart Bond Search under the hood.

RAG-based model

Categories

AI Search
AI Finance
Financial Data API
Bond Search
Financial Data
Investment Tools

Best use cases

Finding USD-denominated corporate bonds with specific rating and yield criteria
Screening bonds by duration, coupon rate, and maturity date
Identifying green bonds and ESG-compliant bond investments
Searching for bonds across multiple countries and regions
Locating bonds with specific structural features (convertible, callable, perpetual)

Frequently Asked Questions

General

Related & Connected

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