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LinqConnect API Documentation

website·Indexed 32 days ago

https://devportal.linqura.ai

Developer documentation for LinqConnect, an AI-powered business intelligence API providing firmographics, risk assessment, and industry classification. Includes guides for v1.5 and v2 endpoints, integration tutorials for Java, Python Flask, and React, and references for NAICS, ISO GL, and WC classification codes.

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What's inside LinqConnect

  1. Overview of LinqConnect High-Level Architecture

    LinqConnect uses an AI-powered architecture designed for high classification accuracy (97%) and low latency (sub-2 second response times). The system is built on proprietary AI models with zero OpenAI dependencies, ensuring data remains within secure infrastructure. The architecture consists of an API Gateway, an Authentication Service, a Request Orchestrator, seven specialized AI agents, a custom LLM orchestration layer, and a Data Aggregation Engine that pulls from 15+ sources including federal/state registries, OSHA, and property databases.

  2. Overview of the LinqConnect JavaScript/Node.js SDK

    The official JavaScript/Node.js SDK for the LinqConnect API is currently in development and is expected to be released in Q1 2026. The SDK will be available as the @linqura/linq-connect npm package. Planned features include full TypeScript support, a Promise-based API (async/await), built-in OAuth2 token management, exponential backoff retry logic, configurable response caching, automatic rate limit throttling, comprehensive error types, and future WebSocket support for real-time updates.

  3. Overview of LinqConnect AI Insurance Intelligence

    LinqConnect is a business intelligence platform for commercial insurance powered by the Business Classification Engine (BCE). It provides high-accuracy firmographic data, risk analysis, property intelligence, and underwriting insights for commercial entities. Key capabilities include:

    • Classification & Firmographics: NAICS (6-digit), SIC (4-digit), ISO General Liability, and Workers' Compensation codes, plus employee counts and revenue estimates.
    • Risk Intelligence: OSHA violation history, safety records, risk scores, and industry-specific risk factors.
    • Property Data: Building construction details, replacement cost estimates, square footage, occupancy, and natural hazard exposure.
    • Coverage Analysis: Recommended coverage types, policy limits, and coverage gap identification.

  4. Overview of LinqConnect Data Sources

    LinqConnect aggregates intelligence from over 15 authoritative data sources to provide higher data accuracy than single-source providers. These sources are categorized into Government, Property & Real Estate, Commercial, Web Intelligence, and Industry & Professional sources. Each source is utilized by specific AI agents (e.g., Business Discovery Agent, Classification Agent, Risk Assessment Agent) to derive business insights.

  5. Overview of Automated Renewal Intelligence

    Automated Renewal Intelligence reduces renewal processing time by approximately 50% and minimizes premium leakage. The system automates the identification of underinsured businesses and operational changes that typically lead to lost premiums.

    The automated workflow follows these steps:

    1. Trigger: Initiates 60-90 days before the renewal date.
    2. Intelligence Refresh: Retrieves current business data via LinqConnect.
    3. Change Detection: Compares current data against existing policy data.
    4. Classification Update: Identifies new or changed business operations.
    5. Exposure Analysis: Calculates updated exposures.
    6. Coverage Gap Analysis: Identifies underinsured areas.
    7. Pricing Adjustment: Recommends premium adjustments based on new data.
    8. Routing: Automatically approves the renewal or flags it for manual review based on the magnitude of changes.

  6. Overview of Intelligent Prefill for new business applications

    Intelligent Prefill automates the population of new business applications by retrieving comprehensive intelligence via LinqConnect based on a business name and address. This process reduces the total submission time from 45-60 minutes to 10-15 minutes (a 70% reduction) by eliminating manual data gathering.

  7. Overview of the upcoming GraphQL API (Q1 2026)

    Linqura plans to release a GraphQL API in Q1 2026 to provide more flexible and efficient data queries. Key benefits of this implementation include the ability to request specific fields, fetch multiple resources in a single request, and utilize a strongly typed schema. Real-time subscriptions are planned for a future release.

  8. Overview of planned LinqConnect webhooks

    LinqConnect webhooks are planned for release in Q1 2026. They will provide real-time notifications for the following scenarios:

    • Data Updates: When business data changes.
    • Renewal Triggers: Notifications sent 90 days before policy expiration.
    • Classification Changes: When business operations change.
    • Risk Changes: When a risk profile changes significantly.

  9. Overview of the Business Classification Engine (BCE)

    The Business Classification Engine (BCE) is an agentic AI system available in v1.5, v2, and /latest endpoints. It provides high-accuracy business intelligence, including enhanced NAICS classification, AI-driven revenue and employee estimates with ranges, detailed product/service extraction, web presence analysis, and automated payroll estimates. It is designed to provide evidence-backed classification with source transparency.

  10. Overview of LinqConnect AI API

    LinqConnect is an AI-powered business intelligence API for commercial insurance underwriting. It converts basic business information (name and address) into intelligence reports containing classification, risk assessment, property data, and coverage recommendations. It aggregates data from 15+ authoritative sources using 7 specialized AI agents, achieving 97% classification accuracy.

  11. Overview of the LinqConnect Python SDK

    The official Python SDK for the LinqConnect API (linqconnect-python) is currently in development with an expected release in Q1 2026. Planned features include full type annotations, async support (asyncio/aiohttp), sync support, built-in OAuth2 token management, Pandas DataFrame integration, retry logic via Tenacity, optional Redis caching, and a CLI tool.

  12. Overview of LinqConnect Business Intelligence API

    LinqConnect is an AI-powered business intelligence API designed for commercial insurance underwriting. It uses a Business Classification Engine (BCE)—an agentic AI system—to transform minimal input (business name and address) into comprehensive intelligence reports. These reports include classification data (NAICS, SIC, ISO GL, and WC codes with confidence scores), firmographic data (employee counts, revenue), risk assessments (OSHA data, safety records), property intelligence (building details, replacement costs), coverage analysis, and industry-specific underwriting questions.