Executive Summary

Many large enterprises, PR agencies, government risk teams and law firms (collectively ~500,000 potential customers) struggle to reliably filter global news APIs with complex Boolean queries: feeds are heterogeneous, multilingual and noisy, boolean logic breaks across schema boundaries, and teams must sift through millions of articles daily to avoid costly false positives or missed signals. The pain shows up as expensive manual tuning, ad-hoc per-language rules, and high alert noise that drives monitoring tool churn. You could build a normalization and query orchestration layer that sits atop existing news APIs, exposing a single, audit‑able Boolean query engine augmented with semantic, cross‑lingual embeddings, templates for 50 industries, and low‑latency streaming for real‑time alerts. The product would include a visual query builder, programmatic SDKs, transparent precision/recall diagnostics, and an enterprise API with role‑based access and audit logs; an achievable initial scope is support for ~10 languages and ~100k sources, aiming at customers with a $16K ACV profile. This is an attractive time to enter: the addressable market is roughly $8.0B (500k orgs × $16K ACV), cross‑lingual NLP advances reduce per‑language rule costs, and API commoditization plus 24/7 news cycles increase demand for a single normalization layer and reliable low‑latency filters. Those trends lower technical barriers while increasing customer willingness to consolidate monitoring stacks. To stand out you must combine deterministic Boolean semantics with semantic matching (so hits are explainable and tunable), publish transparent evaluation metrics, and ship industry templates that shorten time‑to‑value; aiming for enterprise SLAs (e.g., >99.9% uptime) and measurable reduction in false positives will be differentiators. Be honest about challenges: building labeled datasets for 50 industries, solving entity resolution and near‑dup detection at scale, and navigating long enterprise sales cycles and incumbent relationships will require focused engineering and go‑to‑market investment.

Market Opportunity

Filtering global news APIs with complex Boolean queries — best practices targets a $8.0B = 500k organizations x $16K ACV (global enterprises/agencies needing media monitoring) total addressable market with medium saturation and a year-over-year growth rate of 12-18% (enterprise monitoring & analytics market expansion driven by AI/automation).

Key trends driving demand: Cross-lingual NLP -- improved multilingual embeddings enable unified query semantics across languages, increasing addressable monitoring scope.; API commoditization -- more news sources and syndicated feeds mean more heterogeneous schemas, raising demand for normalization layers.; Real-time monitoring demand -- 24/7 global news cycles and faster social amplification require low-latency, accurate filters.; AI-assisted relevance -- model-driven enrichment (NER, topic classification) reduces human tuning time and improves precision..

Key competitors include Webz.io (formerly Webhose), EventRegistry, NewsAPI.org (and similar lightweight news feed APIs), Meltwater / Cision / Talkwalker (enterprise media monitoring suites), DIY / ElasticSearch or OpenSearch + feed providers (GDELT, commercial feeds).

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Filtering global news APIs with complex Boolean queries — best practices

Executive Summary

Market Validation

Market Opportunity

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