platform · agentic deal flow

agentic deal flow, from signal to first touch

agentic deal flow is the idea that an agent - not an analyst clicking through databases - runs your top of funnel. it finds companies, qualifies them against your thesis, and drafts the first outreach. the missing piece is a signal source the agent can actually query. that's frontrun.

what is agentic deal flow?

agentic deal flow is deal sourcing run by an ai agent instead of a person. the agent surfaces candidate companies, enriches the founders, scores them against your investment thesis, and prepares outreach, with a human reviewing and deciding. it depends on two things: a capable agent (claude code, cursor) and a data source the agent can reach through a tool interface. frontrun is that source, exposed as an mcp server so the agent sources from pre-round investor behavior, not from announced rounds everyone already sees.

the agent is only as early as its data

an agent pointed at public databases finds the same announced deals every other fund's agent finds. feed it a source competitors can't query - live investor follow-graph convergence - and it sources companies before they're companies. frontrun's mcp server exposes 29 tools for exactly this: detect new follows, surface convergence, classify entities, pull founder and funding data.

one prompt, the whole loop

with frontrun connected, a single prompt runs discovery to draft: surface this week's converging companies, enrich each founder, rank by thesis fit, draft outreach. install is one command - npx frontrun-mcp-server --setup - and the agent hits the sign-in wall only at first use, where a 7-day trial begins.

step	what the agent does	frontrun tool
Source	find pre-round companies	convergence + new-follow detection
Qualify	score against your thesis	entity classification + thesis search
Enrich	pull founder & funding context	founder + funding lookups
Draft	write the first outreach	your agent, on frontrun's data

which is right for you

you're building a sourcing agent

you need structured signal, not scraped html. frontrun's mcp + typed tools give the agent something to reason over.

you use claude code or cursor

connect frontrun's mcp server in one command and source deals inside your editor.

you want early, not obvious

generic ai summarizes public companies. frontrun tells the agent which companies investors are moving toward first.

the receipts

frontrun's flags carry dated provenance, so "we saw it early" is checkable per company:

@techdollarhq - flagged at 13 followers, $3M pre-seed 123 days later
@orthogonal_sh - flagged 184 days before a $4.3M round led by Pantera
@rialto_xyz - flagged at 18 followers, 26 days before its Robinhood partner announcement

frequently asked

what is agentic deal flow?

deal sourcing run by an ai agent - it finds companies, qualifies them against your thesis, and drafts outreach, with a human deciding. it needs a data source the agent can query, like frontrun's mcp server.

how do i give an agent access to deal flow signal?

connect frontrun via npx frontrun-mcp-server --setup. the server exposes 29 tools so a claude code or cursor agent can source, enrich, and draft in one loop. $99/mo, 7-day trial.

can an agent really source deals end to end?

yes, with review. one prompt on frontrun's signal can surface converging companies, enrich founders, rank by fit, and draft the first touch - you approve what goes out.

see the signal before the round

7-day free trial · $99/mo · API + MCP for agents

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