Monid launches waterfall contact enrichment for Claude
Monid has unveiled an agent-native waterfall enrichment capability that enables AI agents to dynamically query and chain multiple contact data providers—including Hunter, People Data Labs, and Apollo—under a single unified balance. Rather than requiring teams to commit thousands of dollars annually across separate SaaS subscriptions and wire custom fallback code, agents autonomously execute lookup waterfalls starting with the cheapest source, falling through sequentially upon a miss, and validating deliverability before returning verified work emails at fractions of a cent per call.
The traditional B2B data enrichment model of hefty, seat-based annual software contracts is facing disruption as agent tool aggregators reduce complex multi-provider waterfalls to single prompts and pay-as-you-go micro-transactions.
• Eliminates multi-subscription overhead: Replaces fragmented annual commitments across vendors like Clay, Hunter, and Apollo with a single wallet and shared credit pool.
• Dynamic cost-first execution: Agents optimize lookup expenses programmatically by querying the lowest-cost endpoints first, only climbing to pricier data sources when cheaper queries fail.
• Acceleration of agentic middleware: As protocols like MCP take hold, unified tool gateways that abstract authentication, rate-limiting, and billing across thousands of APIs are becoming critical infrastructure for autonomous agents.
DISCOVERED
2h ago
2026-09-11
PUBLISHED
1d ago
2026-09-09
RELEVANCE
AUTHOR
shengkunye
