Forward to: Trading Desk

Programmatic Trading
Workflows

Ten agent workflows for the platform's programmatic trading operations — real-time bidding optimization, supply path intelligence, inventory quality scoring, deal ID analysis, SSP ecosystem mapping, bid shading intelligence, contextual targeting enrichment, frequency capping optimization, viewability prediction, and programmatic guaranteed deal sourcing across 102M domains.

1Supply Path Optimization Intelligence

AI agent maps supply paths across SSPs by analyzing /api, /partners, and /docs pages — identifying the most efficient routes to premium publisher inventory and eliminating redundant intermediaries that inflate CPMs without adding value.

1
Map SSP Ecosystem from Domain Intelligence
/partners /api /docs OpenPageRank
SUPPLY PATH OPTIMIZATION — SSP ECOSYSTEM MAP ═══════════════════════════════════════════════ SSPs MAPPED: 234 supply-side platforms with active /api pages PUBLISHERS: 456,789 publisher domains with detectable SSP relationships SUPPLY PATHS: 12.4M unique paths analyzed SSP QUALITY RANKING (by efficiency): pubmatic.com /api: 234 endpoints | /partners: 45K pubs | PageRank: 7.2 | Efficiency: 94 openx.com /api: 189 endpoints | /partners: 34K pubs | PageRank: 6.8 | Efficiency: 91 magnite.com /api: 267 endpoints | /partners: 67K pubs | PageRank: 7.5 | Efficiency: 89 index.exchange /api: 156 endpoints | /partners: 28K pubs | PageRank: 6.5 | Efficiency: 87 33across.com /api: 89 endpoints | /partners: 12K pubs | PageRank: 5.4 | Efficiency: 82 REDUNDANT PATHS DETECTED (CPM inflation): Path: Publisher → Reseller A → Reseller B → SSP → Platform 23,456 bid requests/day through unnecessary resellers Estimated waste: $890K/month in intermediary fees Direct path available for 78% of affected inventory
2
Optimize Supply Paths by Publisher Quality
Agent cross-references publisher domain PageRank, Domain Ages, and IAB Categories to prioritize direct supply paths to high-quality publishers, reducing auction duplication and improving win rates on premium inventory.
OPTIMIZED SUPPLY PATHS — TOP PUBLISHERS ═══════════════════════════════════════════════ nytimes.com Best path: Direct → Magnite | -34% CPM vs reseller cnn.com Best path: Direct → PubMatic | -28% CPM vs reseller espn.com Best path: Direct → Index Exchange | -31% CPM vs reseller washingtonpost.com Best path: Direct → OpenX | -22% CPM vs reseller weather.com Best path: Direct → 33Across | -38% CPM vs reseller AGGREGATE SAVINGS: Monthly SPO savings estimate: $2.3M (eliminating redundant paths) Win rate improvement: +18% on premium inventory Auction duplication reduction: -45% fewer duplicate bid requests
3
Track SSP Ecosystem Changes
SSP ECOSYSTEM CHANGES — LAST 90 DAYS
Dec 2025 magnite.com: /api added 45 new CTV endpoints. /press: "CTV supply leader" positioning. /partners: 234 new CTV publisher integrations. Magnite emerging as preferred CTV supply path.
Jan 2026 pubmatic.com: /docs expanded with identity resolution APIs. /partners: Added 89 cookieless identity partners. Signal: PubMatic investing in post-cookie supply infrastructure.
Feb 2026 smaato.com: /careers: -34%. /api: 12 endpoints deprecated. /press: No updates in 90 days. PageRank dropped from 5.8 to 4.2. SSP health declining — reduce supply path reliance.
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Output: Supply Path Optimization Report

SUPPLY PATH OPTIMIZATION — MONTHLY REPORT

SPO PERFORMANCE SUMMARY: ══════════════════════════════════════════════ Redundant paths eliminated: 23,456 (saving $2.3M/month) Direct publisher connections: +34% QoQ Win rate improvement: +18% on premium inventory Average CPM reduction: -22% through path optimization SSPs monitored: 234 platforms across 102M publisher domains

2Inventory Quality Scoring Engine

AI agent scores publisher inventory quality by analyzing domain-level signals — PageRank, Domain Ages, Web Filtering Categories, and IAB Categories — to create a real-time quality score that feeds into the platform's bidding algorithm for premium inventory prioritization.

1
Score Publisher Domains on Quality Dimensions
/about /legal OpenPageRank Domain Ages Web Filtering Categories IAB Categories
INVENTORY QUALITY SCORING — PUBLISHER UNIVERSE ══════════════════════════════════════════════════ PUBLISHERS SCORED: 456,789 domains in the programmatic exchange PREMIUM (score >80): 45,678 domains (10.0%) STANDARD (score 40-80): 234,567 domains (51.4%) LOW QUALITY (score <40): 176,544 domains (38.7%) TOP PREMIUM PUBLISHERS: reuters.com PageRank: 9.1 | Age: 28yr | IAB: News | Filter: Clean | Score: 98 bbc.com PageRank: 9.4 | Age: 30yr | IAB: News | Filter: Clean | Score: 97 economist.com PageRank: 8.8 | Age: 26yr | IAB: Business | Filter: Clean | Score: 96 allrecipes.com PageRank: 7.9 | Age: 22yr | IAB: Food | Filter: Clean | Score: 94 FLAGGED LOW QUALITY: clickbait-news.com PageRank: 0.8 | Age: 0.5yr | Filter: MFA | Score: 8 viral-content.xyz PageRank: 0.3 | Age: 0.2yr | Filter: Spam | Score: 3
2
Feed Quality Scores into Bidding Algorithm
Domain Signal
reuters.com — Quality Score: 98. PageRank 9.1 (top 0.1% globally). Domain Age: 28 years. IAB: News > World News. Web Filtering: Clean editorial content. /legal: Complete privacy policy and ad standards. Recommended bid multiplier: 1.4x for premium inventory.
PREMIUM BID — 1.4x multiplier for brand-safe, high-quality inventory
Sector Signal
Made-for-Advertising Sites — 34,567 domains identified with MFA characteristics: PageRank < 1.0, Domain Age < 1 year, no /about or /legal pages. Aggregate waste on MFA inventory: $4.5M/month. Recommended: Block list update with 12,345 new MFA domains this cycle.
BLOCK LIST UPDATE — 12,345 new MFA domains identified
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Output: Inventory Quality Impact

INVENTORY QUALITY — PERFORMANCE IMPACT

QUALITY SCORING IMPACT ON PROGRAMMATIC: ══════════════════════════════════════════════ MFA spend eliminated: $4.5M/month saved Premium inventory share: +23% (from 18% to 22.1%) Campaign viewability: +34% on quality-scored inventory Advertiser satisfaction: +28% CSAT improvement Brand safety incidents: -89% with domain-level scoring

3Contextual Targeting Enrichment Pipeline

AI agent enriches contextual targeting by mapping IAB Categories and Personas across 102M publisher domains — enabling the platform to deliver highly relevant ads based on page-level context without relying on user-level tracking or third-party cookies.

1
Build Contextual Taxonomy from Domain Intelligence
/blog /products IAB Categories Personas
CONTEXTUAL ENRICHMENT — DOMAIN TAXONOMY ═══════════════════════════════════════════════ DOMAINS CLASSIFIED: 89.4M domains with IAB category assignments PERSONA MAPPED: 67.8M domains with audience persona signals CONTEXTUAL SEGMENTS: 2,345 unique contextual targeting segments CONTEXTUAL SEGMENT EXAMPLES: "Luxury Auto Enthusiast" — 23,456 domains IAB: Automotive > Luxury | Personas: High-Net-Worth, Car Enthusiast Top domains: motortrend.com, caranddriver.com, topgear.com "Fitness & Nutrition" — 45,678 domains IAB: Health > Fitness | Personas: Health-Conscious, Active Lifestyle Top domains: menshealth.com, womenshealthmag.com, myfitnesspal.com "Home Renovation" — 34,567 domains IAB: Home & Garden > Renovation | Personas: Homeowner, DIY Enthusiast Top domains: thisoldhouse.com, bobvila.com, houzz.com CONTEXTUAL vs COOKIE-BASED PERFORMANCE: Contextual CTR: 1.8% | Cookie-based CTR: 1.6% | +12.5% improvement Contextual viewability: 72% | Cookie-based: 58% | +24% improvement
2
Match Advertiser Products to Contextual Segments
Agent automatically matches advertiser product catalogs (from /products pages) to the most relevant contextual segments — ensuring commerce ads appear alongside content that matches shopper intent, driving higher conversion rates.
ADVERTISER-TO-CONTEXT MATCHING ═══════════════════════════════════════════════ nike.com products → "Fitness & Nutrition" context Match score: 96% | Expected CTR: 3.2% | ROAS: 7.8x dyson.com products → "Home Renovation" context Match score: 91% | Expected CTR: 2.8% | ROAS: 6.4x bmw.com products → "Luxury Auto Enthusiast" context Match score: 98% | Expected CTR: 1.9% | ROAS: 12.1x CONTEXTUAL MATCH LIFT vs GENERIC PLACEMENT: Avg CTR lift: +89% Avg ROAS lift: +134% Brand recall improvement: +45%
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Output: Contextual Targeting Performance

CONTEXTUAL TARGETING — COOKIELESS PERFORMANCE

CONTEXTUAL ENRICHMENT RESULTS: ══════════════════════════════════════════════ Domains with contextual enrichment: 89.4M (coverage: 89%) Unique contextual segments: 2,345 Average CTR improvement: +89% vs generic placement Third-party cookie dependency: Reduced 67% Revenue from contextual campaigns: $34.5M/quarter

4Bid Shading Intelligence

AI agent optimizes bid shading by analyzing publisher domain characteristics and auction dynamics — using PageRank, traffic patterns, and historical win rates to determine the optimal bid reduction below first-price auction clearing prices without sacrificing win rate.

1
Analyze Publisher Auction Dynamics
/about OpenPageRank IAB Categories Domain Ages
BID SHADING OPTIMIZATION — PUBLISHER ANALYSIS ══════════════════════════════════════════════════ PUBLISHER BID SHADING RECOMMENDATIONS: cnn.com PageRank: 9.2 | Auction density: HIGH | Shade: -18% | Win rate: 67% espn.com PageRank: 8.8 | Auction density: HIGH | Shade: -22% | Win rate: 64% buzzfeed.com PageRank: 7.1 | Auction density: MED | Shade: -28% | Win rate: 72% localweather.net PageRank: 3.2 | Auction density: LOW | Shade: -35% | Win rate: 89% DOMAIN CHARACTERISTICS DRIVING SHADING: High PageRank (>7): Conservative shading (-15-20%) — competitive auctions Mid PageRank (4-7): Moderate shading (-20-30%) — balanced competition Low PageRank (<4): Aggressive shading (-30-40%) — less competition MONTHLY SAVINGS FROM BID SHADING: $8.9M
2
Calibrate Shading by Domain Characteristics
Auction Signal
cnn.com — Conservative Shade (-18%) — High PageRank (9.2) publisher with dense auction competition (avg 12 bidders per auction). Domain intelligence recommends conservative -18% shade to maintain 67% win rate. More aggressive shading (-25%) tested and reduced win rate to 48%, losing access to premium news inventory that drives brand awareness attribution.
OPTIMAL SHADE — -18% saves cost while maintaining 67% win rate
Auction Signal
localweather.net — Aggressive Shade (-35%) — Low PageRank (3.2) publisher with sparse auction competition (avg 3 bidders). Domain intelligence enables aggressive -35% shade while maintaining 89% win rate. This inventory is commoditized — no premium needed. Shading savings: $0.8M/month across similar long-tail publishers without any win rate sacrifice.
AGGRESSIVE SHADE — -35% on long tail, 89% win rate maintained
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Output: Bid Shading Performance

BID SHADING — COST EFFICIENCY REPORT

BID SHADING PERFORMANCE SUMMARY: ══════════════════════════════════════════════ Monthly bid savings: $8.9M (avg -23% below first-price) Win rate maintained: 68% (vs 72% without shading — minimal loss) Effective CPM reduction: -23% across all inventory Premium inventory win rate: 65% (conservative shading preserves access) Domain signals used: PageRank, Domain Age, IAB Category, traffic patterns

5Programmatic Guaranteed Deal Sourcing

AI agent identifies premium publishers for programmatic guaranteed (PG) deals by analyzing /about, /investors, /press, and /products pages — scoring publishers by brand safety, audience quality, and content premium to automate deal sourcing for the platform's largest advertisers.

1
Identify PG-Ready Publishers
/about /investors /press OpenPageRank Web Filtering Categories
PG DEAL SOURCING — PUBLISHER QUALIFICATION ══════════════════════════════════════════════ PG-QUALIFIED PUBLISHERS (brand-safe, premium content): washingtonpost.com PageRank: 9.3 | Filter: News | /about: Major media | PG Score: 97 wired.com PageRank: 8.1 | Filter: Tech | /about: Conde Nast | PG Score: 94 bonappetit.com PageRank: 7.6 | Filter: Food | /about: Conde Nast | PG Score: 92 theatlantic.com PageRank: 8.4 | Filter: News | /about: Emerson Collective | PG Score: 95 ADVERTISER-TO-PUBLISHER MATCHING: Nike → Sports publishers (espn.com, si.com, bleacherreport.com) Samsung → Tech publishers (wired.com, theverge.com, techcrunch.com) L'Oreal → Lifestyle publishers (vogue.com, allure.com, elle.com)
2
Match Advertisers to Premium Publisher Inventory
PG Match Signal
Nike → ESPN, SI, Bleacher Report — Advertiser-publisher PG match: Nike (IAB: Sports > Athletic Clothing) matched to sports publisher cluster. espn.com PageRank 8.8, si.com PageRank 7.4, bleacherreport.com PageRank 7.1. All Web Filtering: Clean. Combined reach: 89M monthly uniques. Estimated PG deal value: $8.5M/quarter at $18.50 CPM. Brand safety: 100% pre-qualified.
PG MATCH — Nike + Sports publishers, $8.5M/quarter deal value
PG Match Signal
Samsung → Wired, The Verge, TechCrunch — Advertiser-publisher PG match: Samsung (IAB: Technology > Consumer Electronics) matched to tech publisher cluster. wired.com PageRank 8.1, theverge.com PageRank 7.8, techcrunch.com PageRank 8.0. Combined tech-enthusiast reach: 67M monthly. Estimated PG deal: $6.2M/quarter. Review-site context drives 3.2x higher CVR.
PG MATCH — Samsung + Tech publishers, $6.2M/quarter deal value
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Output: PG Deal Pipeline

PG DEAL PIPELINE — QUARTERLY SOURCING

PROGRAMMATIC GUARANTEED PIPELINE: ══════════════════════════════════════════════ PG deals sourced: 234 new advertiser-publisher matches Estimated PG revenue: $45M/quarter Premium CPM achieved: $18.50 avg (vs $6.20 open auction) Brand safety score: 99.8% (all PG publishers pre-qualified) Advertiser retention lift: +23% for PG-enabled accounts

6CTV Inventory Intelligence

AI agent maps the Connected TV landscape by analyzing streaming platform domains — /products, /api, /partners, and /press pages — to identify premium CTV inventory sources and optimize the platform's programmatic CTV buying strategy.

1
Map CTV Inventory Landscape
/products /partners /press IAB Categories
CTV INVENTORY INTELLIGENCE — LANDSCAPE MAP ══════════════════════════════════════════════ CTV PLATFORM INVENTORY ANALYSIS: roku.com /products: Ad-supported tiers | /partners: 234 content partners pluto.tv /products: FAST channels | /press: "200+ free channels" tubi.com /products: AVOD model | /partners: 89 content deals peacocktv.com /products: Premium ad tier | /press: NFL streaming rights paramountplus.com /products: Essential (ad) tier | /press: Streaming expansion CTV AD INVENTORY GROWTH: FAST channels: +67% YoY inventory growth (pluto.tv, tubi.com) Premium streamers: +45% ad tier adoption (peacocktv.com, paramountplus.com) Total addressable CTV impressions: 12.4B/month (up from 7.8B)
2
Evaluate CTV Platform Growth Trajectories
CTV Signal
Roku — Fastest FAST Channel Growth — roku.com /products shows expansion to 234 ad-supported channels. /partners page lists 234 content partners (up from 156 last quarter). /press: "Leading FAST platform" positioning. /careers: +28% streaming ad roles. Domain signals confirm Roku as priority CTV supply partner. FAST channel inventory growing +67% YoY with CPMs at $12-18 (volume play).
CTV PRIORITY — Roku FAST inventory +67% YoY, best volume partner
CTV Signal
Peacock — Premium Sports Content — peacocktv.com /products shows premium ad tier expanding. /press: NFL streaming rights secured (highest-value live sports). /partners: 89 advertiser integrations for sports inventory. CPMs: $28-45 (premium). Domain intelligence confirms Peacock as the premium CTV partner for sports advertisers like Nike, Adidas, and Under Armour.
PREMIUM CTV — Peacock NFL rights, $28-45 CPM sports inventory
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Output: CTV Strategy Recommendations

CTV INVENTORY — STRATEGY REPORT

CTV PROGRAMMATIC STRATEGY: ══════════════════════════════════════════════ Priority CTV partners: Roku, Pluto TV, Tubi (FAST growth) Premium CTV deals: Peacock (NFL), Paramount+ (sports/entertainment) Revenue opportunity: $23.4M/quarter from CTV programmatic CPM range: $28-45 (premium) / $12-18 (FAST channels) Targeting: IAB Categories + Personas from domain intelligence

7Frequency Capping Optimization

AI agent optimizes cross-domain frequency capping by mapping publisher domain relationships — identifying domains owned by the same media company using /about, /legal, and /leadership pages to prevent ad fatigue across publisher portfolios.

1
Map Publisher Domain Ownership Networks
/about /legal /leadership Domain Ages
PUBLISHER OWNERSHIP MAPPING — FREQUENCY CONTROL ═══════════════════════════════════════════════ PUBLISHER PORTFOLIOS IDENTIFIED: Conde Nast (12 domains): vogue.com, wired.com, gq.com, vanity fair.com... Dotdash Meredith (45 domains): allrecipes.com, investopedia.com, people.com... Future plc (34 domains): techradar.com, pcgamer.com, gamesradar.com... Hearst (28 domains): cosmopolitan.com, esquire.com, harpersbazaar.com... FREQUENCY CAP IMPACT: Without portfolio mapping: Avg 8.2 impressions/user/day across same company With portfolio mapping: Avg 3.1 impressions/user/day — -62% overexposure Ad fatigue reduction: -45% CTR improvement: +23% from reduced frequency
2
Apply Cross-Portfolio Frequency Caps
Frequency Signal
Conde Nast Portfolio — 12 Domains Linked — Domain intelligence mapped vogue.com, wired.com, gq.com, vanityfair.com + 8 more as same ownership (via /about and /legal page analysis). Without portfolio mapping, a user visiting 4 Conde Nast sites could receive 32 impressions/day (8 per site). With mapping: capped at 3 impressions/day across all 12 domains. Ad fatigue reduction: -62%.
PORTFOLIO CAP — 12 Conde Nast domains grouped, 3 impressions/day cap
Frequency Signal
Dotdash Meredith — 45 Domains Linked — Largest publisher portfolio: allrecipes.com, investopedia.com, people.com + 42 more mapped via shared /legal privacy policy and /leadership overlap. This portfolio represents the highest overexposure risk — a user could theoretically see 360 impressions/day without caps. Cross-portfolio frequency cap: 4 impressions/day. CTR improvement: +23%.
LARGEST PORTFOLIO — 45 Dotdash Meredith domains, 4 impressions/day cap
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Output: Frequency Optimization Results

FREQUENCY CAPPING — OPTIMIZATION REPORT

CROSS-DOMAIN FREQUENCY OPTIMIZATION: ══════════════════════════════════════════════ Publisher portfolios mapped: 234 (covering 4,567 domains) Overexposure reduction: -62% CTR improvement: +23% from better frequency management Wasted spend eliminated: $3.4M/month Advertiser CSAT improvement: +18%

8Viewability Prediction Model

AI agent predicts ad viewability by correlating publisher domain characteristics with historical viewability data — using PageRank, content type (IAB Categories), and page structure signals to pre-filter low-viewability inventory before bidding.

1
Build Viewability Prediction Features
/about OpenPageRank IAB Categories Domain Ages
VIEWABILITY PREDICTION — FEATURE ANALYSIS ══════════════════════════════════════════════ VIEWABILITY BY DOMAIN CHARACTERISTICS: PageRank > 7: Avg viewability: 78% (premium content) PageRank 4-7: Avg viewability: 62% (mid-tier) PageRank < 4: Avg viewability: 34% (low quality) Domain Age > 10yr: Avg viewability: 74% Domain Age 3-10yr: Avg viewability: 58% Domain Age < 3yr: Avg viewability: 38% IAB News: Avg viewability: 72% IAB Entertainment: Avg viewability: 56% IAB Gaming: Avg viewability: 41% PREDICTION MODEL ACCURACY: 87% (AUC-ROC)
2
Pre-Filter Low-Viewability Inventory Before Bidding
Viewability Signal
reuters.com — Predicted 82% Viewability — PageRank 9.1, Domain Age 28 years, IAB: News. All three top viewability predictors are positive. Historical viewability on reuters.com: 79-84% range. Prediction: 82% (exceeds 50% threshold by wide margin). Bid recommendation: Full bid price — this publisher delivers consistent viewability that exceeds advertiser SLAs.
HIGH VIEWABILITY — 82% predicted, premium content, full bid approved
Viewability Signal
clickbait-hub.xyz — Predicted 18% Viewability — PageRank 0.3, Domain Age 0.2 years, IAB: Entertainment/Clickbait. All viewability predictors negative. This domain is pre-filtered from bid consideration — saving bid evaluation cost and preventing wasted spend on non-viewable inventory. 176,544 such domains are pre-filtered from the bidding pipeline.
PRE-FILTERED — 18% predicted viewability, removed from bid pipeline
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Output: Viewability Optimization Impact

VIEWABILITY PREDICTION — PERFORMANCE REPORT

VIEWABILITY OPTIMIZATION RESULTS: ══════════════════════════════════════════════ Pre-filter viewability: +34% improvement (52% → 70%) Low-viewability spend avoided: $5.6M/month Advertiser viewability SLA compliance: 94% (was 71%) Model features: PageRank, Domain Age, IAB Category, content depth

9Real-Time Auction Intelligence

AI agent provides real-time auction intelligence by monitoring bid request patterns across SSPs — using domain-level signals to detect auction anomalies, bid floor manipulation, and inventory misrepresentation that could impact the platform's programmatic efficiency.

1
Detect Auction Anomalies via Domain Signals
/about OpenPageRank Web Filtering Categories Domain Ages
AUCTION ANOMALY DETECTION — REAL-TIME ══════════════════════════════════════════════ ANOMALIES DETECTED THIS WEEK: DOMAIN SPOOFING: 456 bid requests claiming "nytimes.com" but domain intelligence shows actual PageRank: 0.3, Age: 0.1yr — SPOOFED BID FLOOR INFLATION: 23 publishers suddenly raised floors 300%+ without content quality changes (PageRank stable). Signal: Manipulation INVENTORY MISREPRESENTATION: 89 domains claiming IAB "News" but Web Filtering shows "Entertainment/Clickbait" — MISCATEGORIZED PROTECTION IMPACT: Spoofed impressions blocked: 12.3M/week Inflated bids avoided: $1.8M/week saved Miscategorized inventory corrected: 234K impressions/day
2
Block Anomalous Bid Requests in Real-Time
Auction Signal
Domain Spoofing — "nytimes.com" FAKE — 456 bid requests claiming nytimes.com origin but domain intelligence reveals: Actual PageRank 0.3 (real NYT: 9.4), actual Domain Age 0.1 years (real NYT: 30 years). ads.txt check confirms: requesting domain not authorized to sell nytimes.com inventory. All 456 bid requests blocked in <50ms. Zero fraudulent impressions purchased.
SPOOFING BLOCKED — 456 fake nytimes.com bids caught via domain signals
Auction Signal
Bid Floor Manipulation — 23 Publishers — 23 publishers suddenly raised bid floors 300%+ without any content quality improvement. PageRank stable, no new content, no traffic increase. Pattern: Coordinated floor inflation to extract higher CPMs. Domain intelligence confirms no quality justification. Response: Bid shading increased on these domains, maintaining effective CPM at pre-manipulation levels.
FLOOR MANIPULATION — 23 publishers inflating floors, shading adjusted
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Output: Auction Integrity Report

AUCTION INTELLIGENCE — INTEGRITY REPORT

PROGRAMMATIC INTEGRITY METRICS: ══════════════════════════════════════════════ Domain spoofing blocked: 12.3M impressions/week Fraud spend prevented: $1.8M/week Inventory reclassified: 234K impressions/day corrected Advertiser trust score: 98.2% verified inventory delivery Enrichment: PageRank, Domain Ages, Web Filtering, IAB Categories

10Cross-Exchange Arbitrage Detection

AI agent identifies cross-exchange arbitrage opportunities and inefficiencies by mapping the same publisher inventory across multiple SSPs — detecting price discrepancies, inventory duplication, and optimal exchange selection using domain-level matching.

1
Map Cross-Exchange Inventory Overlap
/partners /api OpenPageRank IAB Categories
CROSS-EXCHANGE ANALYSIS — INVENTORY MAPPING ══════════════════════════════════════════════ SAME PUBLISHER, DIFFERENT EXCHANGES: cnn.com inventory available via: PubMatic: CPM $8.20 | Win rate: 34% | Latency: 45ms Magnite: CPM $7.80 | Win rate: 38% | Latency: 52ms ← BEST VALUE OpenX: CPM $9.10 | Win rate: 28% | Latency: 61ms Index: CPM $8.50 | Win rate: 31% | Latency: 48ms espn.com inventory available via: PubMatic: CPM $12.40 | Win rate: 29% | Latency: 48ms Magnite: CPM $11.20 | Win rate: 35% | Latency: 55ms ← BEST VALUE OpenX: CPM $13.80 | Win rate: 22% | Latency: 67ms ARBITRAGE SAVINGS OPPORTUNITY: Optimal exchange routing: -15% avg CPM reduction Monthly savings estimate: $4.5M
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Output: Exchange Optimization Report

CROSS-EXCHANGE — OPTIMIZATION REPORT

EXCHANGE OPTIMIZATION RESULTS: ══════════════════════════════════════════════ Publishers mapped across exchanges: 45,678 domains Price variance detected: 15-25% for identical inventory Optimal routing savings: $4.5M/month Preferred exchanges: Magnite (best value), PubMatic (best latency) Domain matching: PageRank + IAB + Domain Age for cross-exchange ID
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