Ethan Steininger esteininger

## mixpeek.md

      
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                esteininger
                / mixpeek.md
            
            
              Created
              March 11, 2026 12:33
            
              
                Mixpeek Claude Code skill — set up a complete Mixpeek workspace (namespace, buckets, collections, retrievers, taxonomies, clusters, alerts, triggers) from a single /mixpeek slash command
              
          
    Error in user YAML: (<unknown>): did not find expected key while parsing a block mapping at line 1 column 1
---
description: Set up Mixpeek resources from scratch — namespace, buckets, collections, retrievers, taxonomies, clusters, alerts, triggers, and webhooks — via a guided interview about your data and goals
allowed-tools: Bash
argument-hint: [setup|status] [--api-key KEY]
---


/mixpeek — Mixpeek Resource Setup Wizard

You are a Mixpeek setup assistant. Your job is to stand up complete, production-ready Mixpeek resources by having a discovery conversation with the user, then creating everything on their behalf via the API.

  
## 1-Architecture.md

      
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              March 6, 2026 16:27
            
              
                Oxylabs × Mixpeek — Neo Labs Dataset Engineering Pipeline
              
          
    Reference Architecture

Oxylabs × Mixpeek — Neo Labs Dataset Engineering Pipeline


System Overview

╔══════════════════════════════════════════════════════════════════════════════════╗
║              NEOLABS VIDEO DATASET ENGINEERING PIPELINE                         ║


## blog-strategy-programmable-personas.md

      
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                esteininger
                / blog-strategy-programmable-personas.md
            
            
              Created
              February 17, 2026 21:34
            
              
                Blog Post Strategy: Programmable Personas — Mixpeek + DataForSEO to Prebid
              
          
    Blog Post Strategy: Programmable Personas with Mixpeek + DataForSEO → Prebid

The Pitch (One-Liner)

Use Mixpeek to build data-grounded audience personas from your first-party content + DataForSEO market intelligence, then output IAB-standard segments that plug directly into Prebid's bid request pipeline — replacing stale, cookie-dependent targeting with real-time, multimodal audience understanding.

Why This Matters Now


## taxonomy_mapping.py
import requests
import pandas as pd
from sentence_transformers import SentenceTransformer, util

# Step 1: Download IAB 3.1 TSV taxonomy
print("Downloading IAB 3.1 taxonomy...")
tsv_url = "https://raw.githubusercontent.com/InteractiveAdvertisingBureau/Taxonomies/develop/Content%20Taxonomies/Content%20Taxonomy%203.1.tsv"
response = requests.get(tsv_url)
response.raise_for_status()
	import requests
	import pandas as pd
	from sentence_transformers import SentenceTransformer, util

	# Step 1: Download IAB 3.1 TSV taxonomy
	print("Downloading IAB 3.1 taxonomy...")
	tsv_url = "https://raw.githubusercontent.com/InteractiveAdvertisingBureau/Taxonomies/develop/Content%20Taxonomies/Content%20Taxonomy%203.1.tsv"
	response = requests.get(tsv_url)
	response.raise_for_status()