Startup fundraising data

Startup fundraising and founder data

Given any startup's X handle, Frontrun resolves what the company does, who founded it, what it has raised, and how much tracked-investor attention it has. Works for any public X handle, not just companies already in the database (profiles are fetched live). The killer cross-reference: every funding answer includes vc_follow_signal, the tracked investors already following the company.

Auth and pricing (the honest version)

Every /v1 request needs an API key in the X-API-Key header. Keys are generated at https://www.frontrun.vc under Settings > API Keys. API + MCP access is included with the Frontrun Pro plan ($99/mo, 10,000 monthly credits; pay upfront, API access unlocks immediately, no trial on Pro). The Frontrun app itself has a 7-day free trial, but the API and MCP surface sit behind the Pro paywall. Top-up credit packs never expire.

Every charged response returns cost_credits and balance_credits. A 402 means insufficient credits; a 429 means a rate limit or the daily credit cap. Several expensive endpoints never charge for empty answers (convergence, thesis search, classify, founders, funding, similar VCs return cost_credits: 0 when nothing is found).

No key yet? Two free no-auth surfaces: GET https://frontrun.vc/v1/teaser/trending (JSON, top 5 trending companies, counts only) and the public page https://frontrun.vc/trending/. Both are real live data.

Machine-readable references: https://www.frontrun.vc/llms.txt and https://www.frontrun.vc/openapi.json

The diligence chain

Run cheap to expensive: overview (60) to signals (16) to founders (100) and funding (60). Founders and funding never charge for empty answers, so probing an unknown company is safe. No resolved funding for a heavily-followed company often means the round is not announced yet, which is exactly the window this data exists to surface.

Endpoints

GET /v1/company/{handle}

Synthesized company overview: profile data, sector classification, entity type, a live website scrape summary, and recent posts. Works for any public X handle, not just companies already in your database (the profile is fetched live). Costs 60 credits. This is the standard first deep-dive after /trending, /convergence, or /search/thesis surfaces a candidate; follow with /company/{handle}/founders and /company/{handle}/funding.

Parameters:

• handle (path, required) Company X handle (with or without @).

curl -s "https://frontrun.vc/v1/company/fluidstack" -H "X-API-Key: $FRONTRUN_API_KEY"

GET /v1/company/{handle}/founders

Founder intelligence for a company: identifies founders via a layered discovery waterfall (verified cache, founder links, person discovery, social graph, tweet search) and enriches with LinkedIn data (role, work history, founder score, confidence, evidence). Costs 100 credits, the most expensive operation in the API, but zero founders found costs 0 credits. Reserve it for companies that already passed your screen.

Parameters:

• handle (path, required) Company X handle (with or without @).

curl -s "https://frontrun.vc/v1/company/fluidstack/founders" -H "X-API-Key: $FRONTRUN_API_KEY"

GET /v1/company/{handle}/funding

Funding and deal information for a company (rounds, investors, lead investors, founders, dates, source URL with confidence), cross-referenced with vc_follow_signal, the tracked accounts that follow it. Costs 60 credits; when no funding can be resolved you are not charged (found=false, funding=null, cost_credits 0). No resolved funding for a heavily-followed company often means the round has not been announced yet, which is exactly the window Frontrun exists to surface.

Parameters:

• handle (path, required) Company X handle (with or without @).

curl -s "https://frontrun.vc/v1/company/fluidstack/funding" -H "X-API-Key: $FRONTRUN_API_KEY"

GET /v1/company/{handle}/signals

Social signal analysis for a company: buzz score, sentiment, mention count, notable mentions, and, most usefully, tracked_vc_followers, the list of your tracked accounts that follow it. Costs 16 credits. The cheapest way to check how much of your coverage has converged on a specific company.

Parameters:

• handle (path, required) Company X handle (with or without @).

curl -s "https://frontrun.vc/v1/company/fluidstack/signals" -H "X-API-Key: $FRONTRUN_API_KEY"

GET /v1/company/{handle}/resources

Discovered links and resources for a company from a live website scrape plus bio links: website, GitHub, documentation, Discord, Telegram, and all site links. Costs 60 credits. Useful for building diligence dossiers or finding a contact surface.

Parameters:

• handle (path, required) Company X handle (with or without @).

curl -s "https://frontrun.vc/v1/company/fluidstack/resources" -H "X-API-Key: $FRONTRUN_API_KEY"

GET /v1/reports

Historical daily report data: the companies Frontrun flagged for you each day (the same companies as your daily report email), for a date range or a specific date, optionally filtered by sector. Costs 4 credits. The cheapest way to replay past discoveries or backfill a CRM.

Parameters:

• date (query) Return the report for a specific date (YYYY-MM-DD).
• since (query, default "7d") Time window: relative ("24h", "7d") or absolute date ("YYYY-MM-DD"). Default "7d".
• sector (query) Filter companies by sector, description, or name (substring match).
• limit (query, default 7) Maximum results to return (default 7, max 30).

curl -s "https://frontrun.vc/v1/reports?since=7d" -H "X-API-Key: $FRONTRUN_API_KEY"

Recipes

diligence @fluidstack: when was it first flagged, which investors follow it,
who are the founders, what has it raised?

for each company in today's report, pull founders and draft a one-line warm intro.

find the founders of @<handle> and their previous companies; flag any repeat founders.

Founder results carry confidence (high/medium/low), discovered_via, and evidence. Treat medium/low confidence as leads to verify, not facts to publish.