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API Reference
GET /v1/follows/enriched

GET /v1/follows/enriched

New follows with full enrichment: AI classification + your custom rules + your custom tags, all merged into each result.

This is the most powerful endpoint for building custom workflows.

Cost: Draws on your monthly usage.

curl "https://frontrun.vc/v1/follows/enriched?since=48h" \
  -H "X-API-Key: your_api_key"

Parameters

ParameterTypeDefaultDescription
sincestring (query)"24h"Time window: "24h", "48h", "7d", etc.
usernamestring (query)--Filter to a specific tracked account.
sector / keyword / entity_type / tagstring (query)--Filter the returned follows. Use entity_type=company to drop people and keep only companies.
cursorstring (query)--Opaque watermark from a previous response's next_cursor. Resumes exactly where that run stopped, so a retry never double-counts or drops records. Overrides since. See Budgets & Cursors.

Response

{
  "since": "2026-03-07T04:00:00.000Z",
  "accounts_checked": 50,
  "total_new_follows": 12,
  "has_more": false,
  "next_cursor": "frc1_eyJ2IjoxLCJzIjoiMWEyYi4uLiIsImQiOiIyMDI2LTA4LTA3In0.Kd3...",
  "usage_pct": 12,
  "usage_resets_at": "2026-11-01T00:00:00Z",
  "results": [
    {
      "tracked_account": "pmarca",
      "as_of": "2026-04-20T08:00:00Z",
      "new_follows_count": 3,
      "new_follows": [
        {
          "twitter_user_id": "1111111111",
          "username": "stealth_ai_co",
          "name": "StealthAI",
          "description": "Automating enterprise workflows with LLMs",
          "verified": true,
          "classification": {
            "is_company": true,
            "confidence": "high",
            "sector": "AI/ML",
            "entity_type": "startup"
          },
          "custom": {
            "tags": ["thesis-match", "watchlist"],
            "sector": "AI Infrastructure",
            "priority": "high",
            "matched_rule": "AI Infra"
          }
        }
      ]
    }
  ]
}

Companies only

New follows include people as well as companies. For startup sourcing, pass entity_type=company to keep only companies.

curl "https://frontrun.vc/v1/follows/enriched?since=7d&sector=AI&entity_type=company" \
  -H "X-API-Key: your_api_key"

In a live test, sector=AI alone returned 13 people and 18 companies. Adding entity_type=company returned the 18 companies.

Starter companies

On a new account your own window is often thin. When it is, the response adds a separate starter_companies array and a starter_note, so the answer is not empty on day one.

The starter block is added only when all of these hold:

  • the key was created from a Frontrun account
  • fewer than 10 of your own follows matched in the window
  • it is the first page: no cursor, offset 0
  • no username filter

Starter rows are filtered by the same sector and keyword you sent, and handles already in results are dropped. They are never mixed into results: results only ever holds follows made by your tracked accounts.

{
  "total_new_follows": 3,
  "results": [ ... ],
  "starter_companies": [
    {
      "username": "agent_ops_hq",
      "name": "AgentOps",
      "description": "Observability for AI agents",
      "sector": "AI",
      "website": "https://agentops.example",
      "followers": 860,
      "stage": "pre-seed",
      "flagged_at": "2026-09-12T09:30:00.000Z",
      "tracked_followers": null,
      "source": "starter",
      "via": "onboarding",
      "x_url": "https://x.com/agent_ops_hq"
    }
  ],
  "starter_note": "starter_companies: the last 30 days of companies in your sectors, from the whole Frontrun network, not from accounts you track. They are here so a new account is not empty and fade out as your own list grows. GET /v1/companies lists both."
}

Every starter row has source: "starter". Starter companies come from the whole Frontrun network, not from your tracked accounts. GET /v1/companies returns your own companies and the starter set together.

How custom data merges

  1. AI classification is always included
  2. Custom tags (from POST /v1/tags) are merged - manual overrides take priority
  3. Classification rules (from POST /v1/classify/rules) are evaluated against each entity
  4. If both a manual tag and a rule match, they're merged (tags combined, manual sector takes priority)