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: 16 credits per call
curl "https://frontrun.vc/v1/follows/enriched?since=48h" \
-H "X-API-Key: your_api_key"Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
since | string (query) | "24h" | Time window: "24h", "48h", "7d", etc. |
username | string (query) | -- | Filter to a specific tracked account. |
sector / keyword / entity_type / tag | string (query) | -- | Filter the returned follows. |
cursor | string (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...",
"cost_credits": 16,
"balance_credits": 9948,
"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"
}
}
]
}
]
}How custom data merges
- AI classification is always included
- Custom tags (from
POST /v1/tags) are merged - manual overrides take priority - Classification rules (from
POST /v1/classify/rules) are evaluated against each entity - If both a manual tag and a rule match, they're merged (tags combined, manual sector takes priority)