PromptLoop

About PromptLoop

PromptLoop builds B2B datasets with AI agents that search, scrape and enrich in one flow, aimed at go-to-market teams whose account research is currently a manual scraping and qualification process. The specific claim worth noting is its focus on small and local businesses — the segment where the established data providers are weakest, because their coverage comes from firmographic databases that thin out fast below the enterprise tier, whereas an agent that reads the actual website can extract almost anything a human researcher could. Users define the exact data points they need in custom or advanced formats rather than choosing from a fixed schema, which is the practical difference between an enrichment provider and a research agent: if the qualifying signal for your product is something idiosyncratic, a fixed schema cannot give it to you. Around the extraction sit AI company search, phone and email enrichment, geographic search, HubSpot AI enrichment, general CRM integrations and a web API. Billing is credit-based with published overage rates and volume discounts, and the credit-to-company conversion is stated openly — roughly 200 to 300 companies per 1,000 credits — which makes it possible to estimate cost per enriched account before signing up. The free tier includes 500 credits and unlimited agents, so the extraction quality can be tested against your own target list rather than a demo dataset.

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