Forward to: Engineering Team

Technology & Data
Platform Workflows

Ten agent workflows for the ad-tech platform's engineering team — data pipeline monitoring, infrastructure health scoring, API ecosystem analysis, technology stack intelligence, vendor evaluation engine, data quality assurance, platform scalability assessment, security posture monitoring, developer ecosystem tracking, and competitive technology benchmarking across 100M+ domains.

1Data Pipeline Health Monitoring

AI agent monitors the health of the ad-tech platform's data ingestion pipelines by analyzing upstream data source domains — checking /api availability, /docs currency, /security status, and PageRank stability to predict data quality issues before they impact campaign performance.

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Monitor Upstream Data Source Health
/api /docs /security OpenPageRank Domain Ages
DATA PIPELINE HEALTH — UPSTREAM MONITORING ══════════════════════════════════════════════ DATA SOURCES MONITORED: 234 upstream providers feeding the platform platform HEALTHY: 212 (90.6%) — all signals nominal DEGRADED: 18 (7.7%) — 1-2 warning signals CRITICAL: 4 (1.7%) — multiple failure indicators HEALTHY SOURCES: pubmatic.com /api: Active (234 endpoints) | /docs: Updated Feb 2026 | PageRank: 7.2 stable magnite.com /api: Active (267 endpoints) | /docs: Updated Jan 2026 | PageRank: 7.5 stable openx.com /api: Active (189 endpoints) | /docs: Updated Feb 2026 | PageRank: 6.8 stable CRITICAL ALERTS: datavendor-a.com /api: 12 endpoints deprecated | /docs: Stale 6 months PageRank: 5.2 → 3.1 (declining) | /careers: -45% Risk: Data quality degradation imminent — failover recommended ssp-legacy.io /api: 4 endpoints removed | /security: Certificate expiring /press: No updates 120 days | /about: Reduced scope Risk: Vendor may be shutting down — migrate integrations
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Predict Data Quality Issues Before Impact
Agent correlates upstream domain health signals with historical data quality incidents — predicting which data sources are likely to degrade based on patterns like /api endpoint deprecation, /docs staleness, and PageRank decline that preceded previous quality issues.
Vendor Signal
datavendor-a.com — Multiple degradation signals: /api endpoints being deprecated (12 removed in 30 days), /docs not updated in 6 months, PageRank declining from 5.2 to 3.1, /careers showing -45% workforce reduction. Historical pattern: These signals preceded 3 previous vendor failures on the platform platform. Failover to backup data source recommended within 14 days.
CRITICAL — Failover required within 14 days, vendor decline pattern detected
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Output: Pipeline Health Dashboard

DATA PIPELINE — HEALTH DASHBOARD

PIPELINE HEALTH SUMMARY: ══════════════════════════════════════════════ Data sources healthy: 212/234 (90.6%) Critical alerts: 4 (immediate action required) Predicted incidents prevented: 8 this quarter Data quality incidents (post-monitoring): -78% reduction Estimated revenue protected: $12.3M/quarter Signals: /api status, /docs freshness, PageRank, /careers, /security

2Technology Vendor Evaluation Engine

AI agent evaluates technology vendors for the ad-tech platform's platform by analyzing their domains — /api maturity, /docs quality, /security practices, /careers stability, and PageRank authority — automating vendor due diligence and reducing evaluation time from months to days.

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Score Technology Vendors on Domain Signals
/api /docs /security /careers OpenPageRank Domain Ages
VENDOR EVALUATION — DOMAIN INTELLIGENCE SCORING ══════════════════════════════════════════════════ VENDOR EVALUATION: Cloud Infrastructure snowflake.com /api: 567 endpoints | /docs: 2,345 pages | /security: SOC2, ISO /careers: +23% | PageRank: 7.8 | Age: 12yr | Score: 96 databricks.com /api: 345 endpoints | /docs: 1,890 pages | /security: SOC2 /careers: +34% | PageRank: 7.2 | Age: 10yr | Score: 93 clickhouse.com /api: 189 endpoints | /docs: 1,234 pages | /security: SOC2 /careers: +45% | PageRank: 6.4 | Age: 8yr | Score: 88 VENDOR EVALUATION: Identity Resolution liveramp.com /api: 234 endpoints | /docs: 890 pages | /security: Complete /careers: +5% | PageRank: 6.8 | Age: 15yr | Score: 89 id5.io /api: 89 endpoints | /docs: 234 pages | /security: SOC2 /careers: +67% | PageRank: 4.8 | Age: 5yr | Score: 82
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Output: Vendor Evaluation Report

VENDOR EVALUATION — RECOMMENDATION

VENDOR EVALUATION RESULTS: ══════════════════════════════════════════════ Vendors evaluated: 45 across 8 technology categories Top recommendation: Snowflake (score 96) for cloud data platform Evaluation time: 3 days (vs 12 weeks manual process) Vendor risk flags: 4 vendors with declining health signals Signals: /api, /docs, /security, /careers, PageRank, Domain Age

3API Ecosystem Intelligence

AI agent maps the adtech API ecosystem by analyzing /api and /docs pages across 100M+ domains — identifying emerging API standards, integration trends, and platform-level shifts that impact the ad-tech platform's technical architecture and product roadmap.

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Map Adtech API Ecosystem
/api /docs /partners IAB Categories
ADTECH API ECOSYSTEM — LANDSCAPE MAP ══════════════════════════════════════════════ API ENDPOINT GROWTH BY CATEGORY: Identity/Privacy APIs: +89% endpoint growth YoY (cookieless push) CTV/Video APIs: +67% endpoint growth YoY (CTV expansion) Retail Media APIs: +56% endpoint growth YoY (sector boom) Measurement APIs: +45% endpoint growth YoY (attribution demand) Traditional Display: -12% endpoint growth YoY (maturing) EMERGING API STANDARDS: prebid.org /api: New Privacy Sandbox adapter spec iab.com /docs: OpenRTB 3.0 draft specification w3c.org /docs: Topics API and Attribution Reporting API updates PLATFORM API POSITION: 189 endpoints (ranked #4 in adtech ecosystem)
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Output: API Strategy Recommendations

API ECOSYSTEM — STRATEGY REPORT

API STRATEGY RECOMMENDATIONS: ══════════════════════════════════════════════ 1. Priority: Add Privacy Sandbox adapter APIs (industry trending +89%) 2. Expand CTV/Video APIs (fastest growing category) 3. Build retail media self-serve APIs (competitive pressure from TTD) 4. Adopt OpenRTB 3.0 early (IAB standard emerging) API gap vs competitors: 45 endpoints behind The Trade Desk Target: 250 endpoints by Q4 2026 (from current 189)

4Security Posture Monitoring

AI agent monitors the security posture of the ad-tech platform's partner ecosystem by analyzing /security pages, compliance certifications, and domain health signals — identifying partners with weak security practices that could expose the platform to supply chain attacks or data breaches.

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Audit Partner Security Posture
/security /compliance /legal Web Filtering Categories Domain Ages
SECURITY POSTURE — PARTNER ECOSYSTEM AUDIT ══════════════════════════════════════════════ PARTNERS AUDITED: 234 technology and data partners STRONG SECURITY: 189 (80.8%) — all certifications current MODERATE RISK: 34 (14.5%) — partial certifications HIGH RISK: 11 (4.7%) — critical security gaps STRONG SECURITY PARTNERS: pubmatic.com /security: SOC2, ISO 27001, GDPR DPA | Score: 96 magnite.com /security: SOC2, ISO 27001, TAG certified | Score: 94 liveramp.com /security: SOC2, ISO, Privacy Shield | Score: 92 HIGH RISK PARTNERS: adnetwork-x.io /security: No page | /compliance: Missing | Score: 12 Risk: No visible security practices — supply chain vulnerability tracker-z.com /security: Expired certs | /legal: 2022 policy | Score: 18 Risk: Outdated security — potential data exposure
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Output: Security Risk Report

SECURITY POSTURE — RISK REPORT

SECURITY POSTURE RESULTS: ══════════════════════════════════════════════ Partners audited: 234 Strong security: 189 (80.8%) High-risk partners: 11 (remediation or removal required) Supply chain risk reduced: -89% from continuous monitoring Breach incidents prevented: 4 this year (from early detection) Signals: /security, /compliance, /legal, Web Filtering, Domain Age

5Data Quality Assurance Pipeline

AI agent ensures data quality in the AI Agent Domain Database itself by cross-validating domain intelligence signals — checking IAB Category consistency, PageRank plausibility, Domain Age accuracy, and Persona coherence to maintain the ad-tech platform's data foundation integrity.

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Cross-Validate Domain Intelligence Signals
/about IAB Categories OpenPageRank Personas Domain Ages Web Filtering Categories
DATA QUALITY ASSURANCE — CROSS-VALIDATION ══════════════════════════════════════════════ QUALITY CHECKS (100M+ domains): IAB Category consistency: 97.2% pass (2.8% need review) PageRank plausibility: 99.1% pass (0.9% anomalies detected) Domain Age accuracy: 98.8% pass (1.2% need verification) Persona coherence: 96.4% pass (3.6% contradictory signals) Web Filtering accuracy: 98.2% pass (1.8% misclassified) ANOMALIES DETECTED: 234 domains: IAB says "News" but Web Filter says "Adult" — Review 567 domains: PageRank 8+ but Domain Age <1 year — Suspicious 89 domains: Persona "Family" but IAB "Gambling" — Contradiction AUTO-CORRECTED: 12,345 records this cycle
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Output: Data Quality Dashboard

DATA QUALITY — ASSURANCE DASHBOARD

DATA QUALITY METRICS: ══════════════════════════════════════════════ Overall data quality score: 97.9% Records auto-corrected: 12,345 this cycle Manual review queue: 890 anomalous records Campaign impact from data errors: -0.1% ROAS (near zero) Data refresh cycle: Quarterly (100M+ domains re-validated)

6Platform Scalability Assessment

AI agent assesses the ad-tech platform's platform scalability needs by monitoring the growth of the domain database, advertiser activity, and publisher network — using /products catalog growth, /api endpoint expansion, and traffic patterns to predict infrastructure scaling requirements.

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Track Growth Metrics Requiring Scale
/products /api OpenPageRank IAB Categories
SCALABILITY ASSESSMENT — GROWTH TRACKING ══════════════════════════════════════════════ PLATFORM GROWTH METRICS: Domain database: 100M → 112M (+12% QoQ) — Storage scaling needed Active publishers: 456K → 512K (+12.3% QoQ) — Bidding infra scale Active advertisers: 47K → 52K (+10.6% QoQ) — Campaign engine scale Daily impressions: 5.2T → 6.1T (+17.3% QoQ) — RTB infrastructure INFRASTRUCTURE PREDICTIONS: Database storage: Need +25TB by Q3 2026 (domain data growth) Compute capacity: Need +34% by Q3 2026 (impression volume) API throughput: Need +28% by Q3 2026 (partner API calls) Bandwidth: Need +22% by Q3 2026 (creative delivery) SCALING TIMELINE: Infrastructure expansion needed by July 2026
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Output: Scaling Roadmap

SCALABILITY — INFRASTRUCTURE ROADMAP

SCALING REQUIREMENTS: ══════════════════════════════════════════════ Storage: +25TB (domain database expansion) Compute: +34% (impression processing growth) API capacity: +28% (partner ecosystem growth) Estimated cost: $4.5M infrastructure investment Timeline: Scale by July 2026 (6-month runway) Risk if delayed: $12M revenue loss from capacity constraints

7Technology Stack Intelligence

AI agent analyzes the technology stacks of publishers and advertisers by examining /api, /docs, /partners, and /security pages — understanding what technologies power the ad-tech platform's ecosystem to optimize integration approaches and identify technology consolidation opportunities.

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Map Technology Stacks Across Ecosystem
/api /docs /partners /security
TECHNOLOGY STACK INTELLIGENCE — ECOSYSTEM MAP ══════════════════════════════════════════════ PUBLISHER TECH STACK DISTRIBUTION: WordPress: 34% of publisher domains (most common CMS) Custom CMS: 23% (premium publishers) React/Next.js: 18% (modern publishers, growing fast) Contentful: 8% (headless CMS, enterprise) Other: 17% ADVERTISER E-COMMERCE PLATFORM: Shopify: 28% of advertiser domains WooCommerce: 22% Magento: 15% Custom: 18% Salesforce Commerce: 10% Other: 7% INTEGRATION OPTIMIZATION: Shopify plugin: Covers 28% of advertisers — highest ROI integration WordPress plugin: Covers 34% of publishers — highest reach integration React SDK: Growing 18% QoQ — invest in modern publisher SDK
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Output: Tech Stack Strategy

TECH STACK — INTEGRATION STRATEGY

TECH STACK INTEGRATION PRIORITIES: ══════════════════════════════════════════════ 1. Shopify plugin optimization (28% of advertisers) 2. WordPress publisher plugin (34% of publishers) 3. React/Next.js SDK (fastest growing, 18% QoQ growth) 4. Magento module update (15% of advertisers) Coverage: 78% of ecosystem covered by top 4 integrations Signals: /api, /docs, /partners, technology detection

8Developer Ecosystem Health Tracking

AI agent tracks the health of the ad-tech platform's developer ecosystem by monitoring /api adoption, /docs engagement, and /partners integration growth — identifying trends in developer adoption rates and areas where documentation or API improvements would accelerate platform growth.

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Monitor Developer Ecosystem Metrics
/api /docs /partners OpenPageRank
DEVELOPER ECOSYSTEM — HEALTH METRICS ══════════════════════════════════════════════ PLATFORM DEVELOPER ECOSYSTEM STATUS: /api endpoints: 189 (target: 250 by Q4 2026) /docs pages: 567 (target: 800 by Q4 2026) /partners integrations: 4,567 (target: 6,000 by Q4 2026) API calls/day: 2.3B (growing +18% QoQ) COMPETITOR ECOSYSTEM COMPARISON: The Trade Desk: /api: 234 endpoints | /docs: 890 pages | Ahead of the platform Google Ads: /api: 567 endpoints | /docs: 12,345 pages | Far ahead Meta Ads: /api: 456 endpoints | /docs: 8,901 pages | Far ahead the platform: /api: 189 endpoints | /docs: 567 pages | Catching up DEVELOPER SATISFACTION SIGNAL: /docs freshness: Updated Feb 2026 (current) /api deprecation rate: Low (3 endpoints/quarter) /support page response time: 4hr avg Developer community mentions: +23% QoQ
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Output: Developer Ecosystem Plan

DEVELOPER ECOSYSTEM — GROWTH PLAN

DEVELOPER ECOSYSTEM GROWTH TARGETS: ══════════════════════════════════════════════ API endpoints: 189 → 250 (+32% | 61 new endpoints needed) Documentation: 567 → 800 pages (+41% | 233 new pages needed) Partner integrations: 4,567 → 6,000 (+31%) Priority API areas: Privacy, CTV, Retail Media, Measurement Investment: $2.3M in developer relations and documentation

9Competitive Technology Benchmarking

AI agent benchmarks the ad-tech platform's technology against competitors by analyzing /api, /docs, /products, /careers, and /press pages — tracking feature releases, engineering investment, and technical innovation to inform the ad-tech platform's product roadmap and competitive positioning.

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Track Competitor Technology Evolution
/api /products /careers /press
COMPETITIVE TECHNOLOGY BENCHMARKING ══════════════════════════════════════════════ TECHNOLOGY INVESTMENT SIGNALS: The Trade Desk: /careers: +34% engineering roles | /api: +45 new endpoints QoQ /products: Kokai platform rewrite | /press: "AI-first platform" Signal: Heavy investment in AI and platform modernization Google DV360: /api: +78 endpoints (Privacy Sandbox) | /docs: +234 pages /products: Topics API integration | /press: "Privacy-centric" Signal: Massive investment in cookieless solutions Amazon Ads: /api: +34 retail media endpoints | /careers: +23% engineering /products: Clean Room expansion | /press: "Full-funnel retail media" Signal: Expanding from retail media into full DSP competitor PLATFORM TECHNOLOGY GAPS: 1. AI/ML platform (TTD Kokai ahead) 2. Privacy Sandbox readiness (Google ahead) 3. Clean Room technology (Amazon ahead) 4. Self-serve platform (TTD ahead)
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Output: Technology Roadmap Priorities

TECHNOLOGY — COMPETITIVE ROADMAP

TECHNOLOGY ROADMAP PRIORITIES (informed by competitive intelligence): ══════════════════════════════════════════════ 1. AI/ML platform upgrade (close gap with TTD Kokai) — Q2 2026 2. Privacy Sandbox integration (match Google DV360) — Q3 2026 3. Clean Room technology (compete with Amazon) — Q3 2026 4. Self-serve platform modernization (TTD parity) — Q4 2026 Investment required: $45M engineering budget Engineering headcount gap: +89 roles needed Signals: /api, /products, /careers, /press competitive analysis

10Infrastructure Cost Optimization

AI agent optimizes the ad-tech platform's infrastructure costs by analyzing cloud provider and SaaS vendor domains — monitoring /pricing changes, /products feature evolution, and competitive alternatives to ensure the platform gets the best value from its technology stack investment.

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Monitor Vendor Pricing and Feature Changes
/pricing /products /blog IAB Categories
INFRASTRUCTURE COST OPTIMIZATION — VENDOR MONITORING ══════════════════════════════════════════════════ VENDOR PRICING CHANGES DETECTED: aws.amazon.com /pricing: EC2 instances -8% (new generation) Current the platform spend: $12M/yr → Savings: $960K/yr on migration snowflake.com /pricing: Compute credits +18% Current the platform spend: $4.5M/yr → Cost increase: +$810K/yr Alternative: databricks.com /pricing: 15% cheaper for equivalent datadog.com /pricing: New "AI Observability" tier at premium price Current tier sufficient, no action needed cloudflare.com /pricing: Workers pricing restructured (-20% for high volume) Current the platform spend: $890K/yr → Savings: $178K/yr NET OPTIMIZATION OPPORTUNITY: $1.34M/year in savings
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Evaluate Cost-Effective Alternatives
VENDOR PRICING CHANGES — LAST 90 DAYS
Dec 2025 aws.amazon.com: /pricing launched Graviton4 instances at -8% vs current gen. /blog: Performance benchmarks published. Migration opportunity: $960K annual savings for the ad-tech platform.
Jan 2026 snowflake.com: /pricing increased compute credit costs +18%. /blog: "Premium AI features" justification. Signal: Evaluate Databricks as alternative for batch workloads.
Feb 2026 cloudflare.com: /pricing restructured Workers pricing with volume discounts. /products: New "Workers for Platforms" offering. Signal: Renegotiate contract with new pricing structure.
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Output: Cost Optimization Plan

INFRASTRUCTURE — COST OPTIMIZATION PLAN

COST OPTIMIZATION SUMMARY: ══════════════════════════════════════════════ Total infrastructure spend: $34.5M/year Savings identified: $1.34M/year (3.9%) 1. AWS migration to Graviton4: $960K savings 2. Cloudflare Workers renegotiation: $178K savings 3. Snowflake → Databricks evaluation: $810K potential savings (offset by migration cost — net savings $200K Year 1) Monitoring method: /pricing page tracking across 45 vendor domains Signals: /pricing, /products, /blog, competitive alternative analysis
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