Agent Jesse
A search engine for finding customers right now, not a phone book of old contacts — instead of buying a stored list of leads that may already be stale, you describe who you're looking for and it scans the live internet for people matching that description
🔗 Visit Agent Jesse
Description
Traditional sales-lead tools work like a phone book: a big database of contacts that gets updated periodically but is always a little out of date by the time you use it, and everyone else buying the same database is calling the same names. Agent Jesse works differently — instead of querying a stored database, it searches the live internet in real time for people and companies matching what you describe, on the theory that fresher signals beat a bigger stale list.
Agent Jesse (built by Floworks Technologies) lets sales teams describe an ideal prospect in natural language — its own example is "find newly opened soccer facilities in the Midwest needing turf solutions" — and crawls permit filings, conference pages, LinkedIn, news articles, and job boards in real time rather than a static database like Apollo or Clay. It returns enriched leads with 50+ data points, verified email addresses (97% accuracy claimed), phone numbers, and LinkedIn profiles, plus AI-suggested role targeting and lookalike-audience generation. The free plan includes 50 new company searches and 50 enrichments per day with no card required; paid Pro/Business/Max tiers start around $9/month, though most native CRM integrations (Zapier, HubSpot, Salesforce, Google Sheets) are still listed as "coming soon" rather than live.
💬 Our review
The short version: the "live internet, not a stale database" pitch is a real and reasonable differentiator if your ideal customer profile is something narrow and time-sensitive (a company that just opened, just hired, just raised funding) rather than a broad, evergreen segment — for the latter, a traditional database like Apollo is still faster to filter through.
Compared to Apollo or Clay, Agent Jesse trades a huge, instantly-filterable existing database for freshness — genuinely valuable for time-sensitive triggers, but it means more variance in result quality query to query since it's actively crawling rather than querying pre-indexed data. The lack of live CRM integrations (Zapier, HubSpot, Salesforce are all "coming soon") is a real gap for any team that wants leads flowing straight into their existing pipeline rather than exported as CSV; that alone might be reason enough to wait a beta cycle or two if CRM sync is a hard requirement.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Gratuit : 1000 crédits, 50 recherches d'entreprises + 50 enrichissements/jour, sans CB ; Pro/Business/Max à partir de ~9$/mois
Pros
Recherche sur l'internet en temps réel plutôt qu'une base figée
Requêtes en langage naturel plutôt que filtres de base de données
Enrichissement à 50+ points de données par prospect
Palier gratuit généreux (1000 crédits, sans CB)
Cons
Intégrations CRM natives (Zapier, HubSpot, Salesforce) encore 'bientôt disponibles', pas actives
Précision d'email (97%) et nombre d'utilisateurs (1200+) non vérifiés indépendamment
Variance de qualité plus élevée qu'une base pré-indexée, car exploration en temps réel