Integral Ad Science (IAS) Media Verification API
Integral Ad Science (IAS) REST API for digital advertising verification, brand safety, and media quality measurement platform. Enables AI agents to manage brand safety targeting and blocking segment configuration for pre-bid and post-bid verification, handle viewability and attention measurement reporting across display, video, and CTV, access invalid traffic (IVT) detection and fraud measurement for campaign quality assurance, retrieve context and content classification data for brand-appropriate inventory selection, manage publisher and domain quality scoring for media planning, handle social platform verification on Meta, YouTube, and TikTok, access attention optimization and engagement quality metrics, retrieve campaign-level verification dashboards and scorecard data, manage keyword blocklist and allowlist configuration, and integrate verification data with DSPs, ad servers, and marketing analytics platforms.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Digital ad verification. SOC2, ISO27001, GDPR. OAuth2. US/EU. Campaign verification and brand safety data.
⚡ Reliability
Best When
An advertiser or agency using IAS wants AI agents to automate brand safety configuration, viewability monitoring, IVT detection, pre-bid activation, social verification, and media quality reporting.
Avoid When
INVENTORY RISK: Pre-bid brand safety filtering that is too aggressive reduces viable inventory — balance brand safety with campaign reach requirements. Social platform verification (Meta, YouTube) has different coverage than open web; verify social measurement capabilities. IAS and DoubleVerify may report different metrics for the same campaign; understand methodology differences.
Use Cases
- • Pre-bid brand safety filtering from programmatic buying agents
- • Viewability measurement reporting from media quality agents
- • Social media verification on Meta/YouTube from brand safety agents
- • Publisher quality scoring from media planning agents
Not For
- • Publisher monetization without advertiser media quality measurement focus
- • Consumer personal privacy tools without enterprise digital advertising quality context
- • Non-programmatic direct advertising without ad server and DSP integration
Interface
Authentication
IAS uses OAuth 2.0 and API key authentication. Per-advertiser and per-agency API credentials. Developer hub at integralads.com/insider. Integration with all major DSPs and ad servers. Pre-bid segments via DSP data integration. No native webhooks — polling-based report retrieval. MRC-accredited measurement. Public company (IAS, NASDAQ).
Pricing
New York City, New York. Founded 2009. Public company (IAS, NASDAQ). Digital advertising verification market. $500M+ revenue (2023). Acquired LASSO (2022) for CTV. Strong social platform verification capabilities (Meta, YouTube, TikTok). Context and sentiment analysis. Competes with DoubleVerify for digital ad verification market.
Agent Metadata
Known Gotchas
- ⚠ INVENTORY RISK: Aggressive pre-bid blocking reduces reach; calibrate brand safety thresholds against campaign KPIs; very strict blocking can eliminate cost-effective inventory
- ⚠ Social platform complexity — IAS social verification on Meta, YouTube, TikTok has platform-specific limitations and data availability; verify coverage for each platform
- ⚠ Pre-bid segment activation — pre-bid segments activate via DSP, not direct API; understand DSP-specific activation and targeting integration workflow
- ⚠ DV vs. IAS methodology — IAS and DoubleVerify may report different viewability and fraud numbers for same campaign; use one vendor consistently for apples-to-apples comparison
- ⚠ Report latency — verification reports have 24-48 hour latency; real-time campaign optimization uses pre-bid segments, not post-bid measurement
- ⚠ Context API — IAS Context API classifies page-level content for brand safety; latency depends on page indexing freshness; new or infrequently crawled pages have less data
Alternatives
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Scores are editorial opinions as of 2026-03-07.