This article provides a complete, practical walkthrough of the Manual Humanticai Create Webhook n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:
   Automating Humantic AI Profile Management with n8n: Create, Update, and Retrieve Insights
   
   Meta Description:
   Learn how to automate the creation, updating, and retrieval of user profiles in Humantic AI using n8n. This step-by-step guide breaks down each workflow component and integration used to streamline personality analysis.
   
   Keywords:
   n8n workflow, Humantic AI automation, Humantic AI API, profile management, no-code automation, personality insights, LinkedIn profile analysis, resume enrichment, talent intelligence, workflow automation
   
   Third-party APIs Used:
   
   - Humantic AI API
   - HTTP Request (for retrieving or uploading documents, such as resumes)
   
   Article:
   
   Automating Personality Profile Management with Humantic AI and n8n
   
   In today’s data-driven hiring and sales environments, understanding the personality of prospects or candidates is more vital than ever. Services like Humantic AI use behavioral and personality science to deliver deep insights into individuals based on online profiles, resumes, and more. But how can you integrate these rich personality profiles into your existing workflows with minimal manual effort?
   
   Enter n8n — a powerful open-source, no-code/low-code workflow automation tool. In this article, we’ll walk through an n8n workflow that automates profile creation, resume enrichment, and persona-specific data retrieval using the Humantic AI API.
   
   Workflow Overview
   
   The n8n workflow tackles three core operations with Humantic AI — profile creation (from a LinkedIn URL), profile update (by attaching a resume), and personality profile retrieval (scoped to a hiring persona). This automation ties together HTTP requests, profile management, and API calls in a seamless, trigger-based execution.
   
   Let’s break it down step-by-step:
   
   Step 1: Manual Trigger Node
   
   The workflow begins with a Manual Trigger node named "On clicking 'execute'". This node is typically used for testing and debugging, allowing the workflow to be executed on demand — useful for developers or HR tech teams manually testing profile generation.
   
   Step 2: Creating a Humantic AI Profile
   
   Next, a Humantic AI node takes a single input: a LinkedIn profile URL — in this case, https://www.linkedin.com/in/harshil1712/. Using the Humantic AI API, this node initiates the process of creating a digital personality profile for the individual linked.
   
   This step is crucial because Humantic AI requires either a resume or a profile URL to generate its unique behavioral analysis. The node outputs a “userid” — an internal identifier used for all future interactions with this profile.
   
   Step 3: Resume Upload via HTTP Request
   
   After successfully creating the profile, the next node is an HTTP Request. While its parameters are minimal (suggesting a placeholder), its role in this workflow likely involves downloading or preparing a PDF resume to enhance the profile initially created.
   
   Alternatively, this step could be configured to retrieve the resume from another API or internal storage system before being passed to the update operation.
   
   Step 4: Updating the Humantic AI Profile
   
   The second Humantic AI node, labeled "Humantic AI1", takes the userId output from the first Humantic call and uses it to update the profile. Most importantly, this node is configured to send a resume to Humantic AI — enriching the data for even more accurate analysis.
   
   The sendResume flag is set to true, suggesting that the result of the previous HTTP Request is now being brought into play, enhancing the profile with detailed work experience and education.
   
   Step 5: Retrieving Persona-Specific Data
   
   The final node — "Humantic AI2" — is perhaps the most insightful part of the workflow. It performs a "get" operation using the persona scope set to "hiring". This means the data returned will be tailored for talent intelligence — helping recruiters understand how a candidate might fit within a team, communicate under pressure, or align culturally with the organization.
   
   This persona customization is one of Humantic AI's core strengths, enabling role-specific AI insights through a simple API parameter.
   
   API Credentials and Security
   
   Each Humantic AI node includes API credentials (configured via a named credential called "humantic"). This ensures all operations securely interface with the Humantic platform without manual token handling or scripting.
   
   Applications of This Workflow
   
   This end-to-end process has multiple business applications:
   
   - ATS Integration: Enrich candidate profiles automatically when a new resume is uploaded.
   - Sales Enablement: Analyze leads' personalities to optimize email outreach or presentation pitch based on their behavioral traits.
   - Leadership Hiring: Gather persona-based insights for executive-level recruitment.
   
   Conclusion
   
   With just a few nodes and API connections, n8n allows users to fully automate personality profiling using Humantic AI. This workflow simplifies the process of analyzing candidates, onboarding new employees, or tailoring sales interactions — giving your team a strategic edge with data-backed behavioral insights.
   
   While this example uses a manual trigger and a hardcoded LinkedIn URL, it can easily be extended to pull data from CRMs, applicant tracking systems, or web forms — providing a scalable and intelligent automation solution for businesses.
   
   Whether you're in HR, sales, or operations, combining n8n’s flexibility with Humantic AI's behavioral modeling can transform how you interact with people.
   
   Ready to automate empathy? Try building this workflow today.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.