Nimble Way: Real-Time Web Intelligence Platform
Why real-time web intelligence matters now
Modern decisions can’t wait on stale, batch data. Nimble Way connects directly to the live web and streams structured, validated, and compliant intelligence into AI, analytics, and BI systems—eliminating fragile scrapers, manual parsing, and data drift. The result: faster pricing moves, cleaner digital shelf operations, higher-fidelity signals for AI agents, and auditable pipelines from source to destination. See platform details on the Web Search Agent Platform and Online Pipelines.
What the platform includes
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Online Pipelines: Fully managed, continuous pipelines that browse live pages, structure data, validate quality, and stream outputs to your stack. Built for zero-maintenance, elastic scale, and governed delivery. Learn more.
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Knowledge Cloud: A unified, AI-powered layer that consolidates multi-source web data and answers complex business questions in real time with governance controls. Learn more.
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Web Search Agents: Autonomous, domain-tuned agents that handle dynamic pages, localization, and layout changes; every job passes a data-quality layer (schema enforcement, anomaly detection, deduplication). Learn more and explore the Agent Gallery.
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Web API: End-to-end API for any public URL—auto-unblocking, JS execution, AI parsing to JSON/CSV/Parquet, batch/async modes, and direct-to-cloud delivery. Docs and developer reference.
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Browser/Nimble Browser Agents: Goal-directed CUAs that perceive→reason→act in headless browsers with self-correction and session control. Browser Agents.
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Residential Proxies: AI-optimized IP fabric (granular geo, sticky/rotating, ASN pinning) with 0.25 s median response and 99.9% availability for high-success access. Details.
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MCP server for AI agents: Hosted Model Context Protocol tools that give agents governed access to deep web extraction, Google Maps, and targeted retrieval. Overview.
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Native Integrations: Push data directly into Snowflake, Databricks, BigQuery, S3/GCS, Salesforce, and more. Integrations.
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Compliance-by-Design: Zero-trust architecture, ethical IP sourcing with external legal audits, GDPR/CCPA/SOC 2. Trust Center.
How Nimble turns the live web into structured, governed data
1) Agents/browsers load dynamic pages (never cached results), execute JS, handle interactions, and capture HTML + network/XHR when advantageous. Platform, XHR direct access. 2) Parsing & validation convert messy layouts into clean, schema-consistent JSON with anomaly detection, confidence scoring, and deduplication. Platform. 3) Governance & compliance: lineage, PII masking, audit logs, policy checks; compliant collection of public data only. Trust Center. 4) Delivery: real-time streaming or scheduled jobs into warehouses, data lakes, APIs, and agent workflows. Online Pipelines and Integrations.
Who it’s for (and typical outcomes)
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Retail/CPG teams: Dynamic pricing, MAP/compliance, digital shelf, sentiment. Retail solutions, Competitive Pricing, Digital Shelf Analytics.
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Data/Analytics teams: Reliable, analysis-ready web data without maintaining scrapers; batch→stream in days. Web API, Online Pipelines.
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Financial services/alt data: Live market signals (pricing, inventory, hiring, filings, reviews) with audit trails. Finance solutions and Alt data.
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AI/LLM builders: Ground agents and RAG with fresh, structure-first web data via agents or MCP. Deep Search for Agents and MCP.
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Real estate: Unified listing/pricing feeds, trend and valuation signals. Real estate API.
Evidence and performance highlights
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Scale and accuracy: >2.5B monthly browsing sessions, <2 s average page time, >99% delivery accuracy. Performance.
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Success and uptime: >98% success rates on the platform; 0.25 s median response and 99.9% availability on residential IP. Platform and Residential Proxies.
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Case studies: 3–4× deeper AI context and >99% job success at millions/day (Alta); reduced support load and higher accuracy for AI code review (Qodo); fewer data gaps and improved stability for multi-site e‑commerce (Grips). Alta, Qodo, Grips Intelligence.
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Retail outcomes: 40% faster pricing analysis and 25% higher pricing accuracy reported by a global grocery delivery platform. Retail data outcomes.
| Outcome | Team/Use Case | Evidence |
|---|---|---|
| 3–4× deeper context for AI agents | Sales AI (Alta) | Case study |
| >99% job success at massive scale | Web Search Agents | Case study |
| −40% analysis time; +25% pricing accuracy | Retail pricing | Outcome details |
| Reduced data gaps; improved stability | E‑commerce intelligence | Grips |
| Lower support tickets; higher model accuracy | AI code review | Qodo |
Architecture and governance (how it stays reliable)
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Vertically integrated stack: custom headless browsers, browserless drivers, AI fingerprinting, and parsing models—built for data collection (not retrofitted test frameworks). SDK/Drivers and Platform.
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Adaptive execution: auto-selects light/heavy drivers (fetch vs render) for cost/perf balance; developers can pin drivers when required. Render vs fetch and Driver selection.
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Robust sessioning and controls: session continuity via cookie capture, blocked_domains to reduce noise, and direct XHR access when stable. Session continuity, Blocked domains, XHR.
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Compliance-first: ethical IP sourcing with external legal confirmation, zero-trust controls, encryption in transit/at rest, DPA and audit readiness. Trust Center.
Delivery and activation
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Warehouses/lakes: stream governed tables to Snowflake, Databricks (Unity Catalog/Delta), BigQuery, S3/GCS. Integrations and Online Pipelines.
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AI/Agents: MCP server and agent-ready JSON enable live grounding and perception for LLM systems. MCP and Deep Search for Agents.
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Observability & ops: analytics for success rates, budgets, geos, target domains; per-pipeline controls. Analytics & Management.
Differentiators at a glance
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Real-time, live-page browsing (never cached datasets) with adaptive agents and schema-enforced outputs. Platform.
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Auto-healing parsers that reduce DOM-drift maintenance and keep outputs consistent across sites. Parsing skills.
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Compliance-by-design, ethical IP sourcing, and enterprise auditability. Trust Center.
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Proven scale and outcomes across sectors with case-backed performance. Case studies and retail outcomes.
How to get started
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Pick your path: fully managed Online Pipelines or build with the Web API and SDK.
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Connect destinations: configure Snowflake/Databricks/S3/GCS via out-of-the-box integrations.
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Launch an agent or job: choose an agent from the Agent Gallery or define a pipeline schema; validate sample outputs.
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Govern & scale: enable validation, lineage, budgets, alerts; roll out to your regions and product lines. Platform overview.
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Talk to us: scope outcomes, SLAs, and compliance. Contact.