Continuous Discovery Loop inside the LeadsLogix engine
Understand exactly how LeadsLogix run a 14-step discovery loop that finds events, scrapes portals, enriches companies, and merges output continuously — then put the same engine to work on your data.
This is a deep dive into the continuous discovery loop — the part of the LeadsLogix platform built to run a 14-step discovery loop that finds events, scrapes portals, enriches companies, and merges output continuously. It covers 14 loop steps from portal discovery through dedup and merge, designed to run forever, and how the subsystem's output feeds the rest of the pipeline.
14
Loop steps
The defining number behind continuous discovery loop inside the LeadsLogix engine.
5
Extraction layers
This subsystem operates inside the 5-layer scraping hierarchy with strict per-company budgets.
Continuous Discovery Loop workspace
Live pipeline console
14
Loop steps
The defining number behind continuous discovery loop inside the LeadsLogix engine.
5
Extraction layers
This subsystem operates inside the 5-layer scraping hierarchy with strict per-company budgets.
0-100
Confidence scoring
Outputs carry confidence scores so downstream stages know exactly how much to trust them.
Audit
Source lineage
Every fact this subsystem produces keeps its source URL and timestamp attached.
Subsystem health
98%
Live status for continuous discovery loop: throughput, error rates, and budget consumption.
Output quality
86%
Confidence distributions and review queues for everything this subsystem produced, focused on 14 loop steps from portal discovery through dedup and merge, designed to run forever.
Source coverage
74%
Which of event portals, exhibitor lists, directories, crawl results, contact extractions, and merge outputs contributed results, and where coverage gaps remain.
Run history
62%
Per-run timings, escalations, and outcomes so behavior changes are visible across runs.
Continuous Discovery Loop run preview
Representative LeadsLogix workspace module for pipeline, verification, enrichment, or analytics views.
Real subsystem, real code
This page documents continuous discovery loop as it actually runs in the LeadsLogix pipeline — 14 loop steps from portal discovery through dedup and merge, designed to run forever.
Source-backed output
Everything it produces stays tied to event portals, exhibitor lists, directories, crawl results, contact extractions, and merge outputs, with evidence preserved on the record.
Budgeted and bounded
Page, render, and runtime budgets bound this subsystem, so cost and behavior stay predictable at any scale.
Composable by design
It exposes its results to the orchestrators, the intelligence graph, and the export pipeline through stable contracts.
Architecture proof
Continuous Discovery Loop is backed by the LeadsLogix engine
Every page in this cluster points to a real product capability: discovery, scraping, enrichment, verification, cleanup, scoring, merge, and CRM export.
Fourteen chained steps
Event discovery, portal scraping, directory expansion, website crawling, contact extraction, dedup, and merge run as one repeating loop.
Self-feeding discovery
Each cycle's outputs — new domains, new directories, new web-graph edges — become the next cycle's inputs, so coverage compounds.
Run-forever design
The loop checkpoints between steps and tolerates individual step failures, so it runs unattended for days at a time.
Platform architecture
Workflow for run a 14-step discovery loop that finds events, scrapes portals, enriches companies, and merges output continuously
The page is structured as a working SaaS workflow for teams that want pipelines running around the clock, with each step connected to the local LeadsLogix pipeline.
Receive scoped work
The orchestrator hands this subsystem its inputs with budgets and confidence targets already attached.
Execute against sources
It works event portals, exhibitor lists, directories, crawl results, contact extractions, and merge outputs to run a 14-step discovery loop that finds events, scrapes portals, enriches companies, and merges output continuously.
Score the results
Outputs are scored for confidence so the escalation and validation layers can act on them mechanically.
Persist the evidence
Findings land in the intelligence graph with source URLs, timestamps, and confidence attached.
Feed the next stage
Downstream stages — enrichment, verification, scoring, export — consume the results through stable contracts.
Dashboard UX
Console-first pages for enterprise buyers
Each page uses the same product-console pattern: source mapping, pipeline health, quality review, and export packaging. It feels like a SaaS system because the content mirrors how LeadsLogix actually runs data jobs.
Subsystem health
Live status for continuous discovery loop: throughput, error rates, and budget consumption.
Output quality
Confidence distributions and review queues for everything this subsystem produced, focused on 14 loop steps from portal discovery through dedup and merge, designed to run forever.
Source coverage
Which of event portals, exhibitor lists, directories, crawl results, contact extractions, and merge outputs contributed results, and where coverage gaps remain.
Run history
Per-run timings, escalations, and outcomes so behavior changes are visible across runs.
Continuous Discovery Loop workspace
Live pipeline console
14
Loop steps
The defining number behind continuous discovery loop inside the LeadsLogix engine.
5
Extraction layers
This subsystem operates inside the 5-layer scraping hierarchy with strict per-company budgets.
0-100
Confidence scoring
Outputs carry confidence scores so downstream stages know exactly how much to trust them.
Audit
Source lineage
Every fact this subsystem produces keeps its source URL and timestamp attached.
Subsystem health
98%
Live status for continuous discovery loop: throughput, error rates, and budget consumption.
Output quality
86%
Confidence distributions and review queues for everything this subsystem produced, focused on 14 loop steps from portal discovery through dedup and merge, designed to run forever.
Source coverage
74%
Which of event portals, exhibitor lists, directories, crawl results, contact extractions, and merge outputs contributed results, and where coverage gaps remain.
Run history
62%
Per-run timings, escalations, and outcomes so behavior changes are visible across runs.
Use cases
Continuous Discovery Loop use cases
Focused entry points for teams that want pipelines running around the clock who need source-backed lead generation, database enrichment, and verified contacts.
Run always-on discovery
Use LeadsLogix to move this workflow from manual research into repeatable discovery, verification, scoring, and export.
Compound coverage
Use LeadsLogix to move this workflow from manual research into repeatable discovery, verification, scoring, and export.
Operate unattended
Use LeadsLogix to move this workflow from manual research into repeatable discovery, verification, scoring, and export.
Source focus
event portals, exhibitor lists, directories, crawl results, contact extractions, and merge outputs
Proof focus
14 loop steps from portal discovery through dedup and merge, designed to run forever
Output focus
CRM-ready Excel and CSV records with company, contact, domain, verification, source, confidence, and audit fields.
Continuous Discovery Loop questions
Short answers for buyers reviewing the product, service, platform, or industry workflow.
Still have questions?
Our team can walk you through the pipeline, pricing, and your use case.
Continue through the LeadsLogix architecture
Related product, service, platform, and industry pages for the same workflow family.
Next action
Build this page cluster into a working acquisition path
Start with the highest-intent records, attach proof from the pipeline, and route visitors to CSV upload, workspace registration, or a managed delivery call.