OpenClaw

Use Frontrun as a data source in your OpenClaw agent. Surface follow signals, convergence events, and classified entities directly in your agent's workflow.

Setup

Via MCP Server

Add to your OpenClaw agent's MCP configuration:

{
  "mcpServers": {
    "frontrun": {
      "command": "npx",
      "args": ["frontrun-mcp-server"],
      "env": {
        "FRONTRUN_API_KEY": "your_api_key"
      }
    }
  }
}

Your agent now has access to all Frontrun tools - tracking, convergence detection, classification, and search.

Via REST API

If your agent uses HTTP directly, call the REST API:

import requests
 
FRONTRUN = "https://frontrun.vc/v1"
HEADERS = {"X-API-Key": "your_api_key"}
 
# Get convergence signals
signals = requests.get(
    f"{FRONTRUN}/convergence",
    headers=HEADERS,
    params={"threshold": 3, "since": "7d"}
).json()

Agent Workflows

Daily deal flow monitor

Set your agent to check Frontrun daily and surface high-signal opportunities:

Agent prompt:
"Every morning, check Frontrun for:
1. Convergence signals (threshold 3+) from the last 24 hours
2. Trending entities with classification
3. Any new follows from [priority accounts]

Summarize findings and flag anything in the AI or DeFi sectors."

MCP tools used: frontrun_convergence, frontrun_trending, frontrun_new_follows

Automated classification pipeline

Let your agent build and maintain a custom classification layer:

Agent prompt:
"Create Frontrun classification rules for my investment thesis:
- AI Infrastructure: keywords 'inference', 'gpu cluster', 'model serving', 'llm ops'
- Developer Tools: keywords 'sdk', 'api platform', 'developer experience'
- DeFi: keywords 'defi', 'lending', 'amm', 'liquidity'

Then pull enriched follows weekly and flag anything matching these rules."

MCP tools used: frontrun_create_rule, frontrun_enriched_follows

Account activity tracker

Monitor specific investors for thesis changes:

Agent prompt:
"Track these accounts: @pmarca, @naval, @sequoia, @a16zcrypto
Every week, pull their activity profiles (90-day window).
Compare sector breakdowns week-over-week.
Alert me if any of them shows a >20% shift in sector attention."

MCP tools used: frontrun_vc_activity, frontrun_track

Research assistant

Use Frontrun data as context for deeper research:

Agent prompt:
"Search Frontrun for all AI startups in the follow graph.
For any company followed by 3+ tracked accounts, research:
- What do they build?
- Who are their competitors?
- What stage are they at?
Draft a one-paragraph brief for each."

MCP tools used: frontrun_search, frontrun_convergence, frontrun_classify

Available MCP Tools

All 38 tools, in one table. Credit costs are on the MCP server page.

Tool	Description
`frontrun_status`	Account status, balance, usage
`frontrun_track`	Start monitoring an X account
`frontrun_untrack`	Stop monitoring
`frontrun_list_tracked`	List monitored accounts
`frontrun_preview`	Evaluate an account before tracking: signal score, sector hints
`frontrun_new_follows`	New follows across tracked accounts
`frontrun_snapshot`	Current follow list for an account
`frontrun_convergence`	Multi-account convergence signals
`frontrun_trending`	Trending entities by attention
`frontrun_feed`	Real-time activity feed across tracked accounts
`frontrun_vc_activity`	Activity profile: velocity, sectors
`frontrun_vc_similar`	Tracked accounts with overlapping follow patterns
`frontrun_search`	Search by sector, keyword, type (tracked graph or full catalog)
`frontrun_thesis_search`	Plain-language investment thesis in, matching companies out
`frontrun_sectors`	Sector and entity-type breakdown of discovered entities
`frontrun_discover`	Accounts your tracked accounts follow that you're not tracking yet
`frontrun_reports`	Historical daily reports, filterable by date range and sector
`frontrun_company`	Synthesized company overview: what they do, sector, stage
`frontrun_company_founders`	Founder profiles for one company: name, role, background
`frontrun_founders_batch`	Founder lookup for up to 10 companies in one call
`frontrun_company_funding`	Round details and investors, cross-referenced with follow signal
`frontrun_warm_path`	Whether you already follow a founder and which of your follows also do. Free
`frontrun_draft_dm`	Drafts a cold DM grounded in the signal and any verified shared connection. Never sends
`frontrun_company_signals`	Buzz score, sentiment, which tracked accounts follow them
`frontrun_company_resources`	Website, GitHub, docs, Discord, Telegram
`frontrun_enriched_follows`	New follows + classification + rules
`frontrun_classify`	On-demand entity classification
`frontrun_create_rule`	Create classification rule
`frontrun_list_rules`	List your rules
`frontrun_update_rule`	Update a rule
`frontrun_delete_rule`	Delete a rule
`frontrun_tag`	Tag an entity, or override its sector
`frontrun_list_tags`	List tagged entities
`frontrun_list_webhooks`	List registered webhooks with status and last delivery
`frontrun_create_webhook`	Register a webhook for new_follows / convergence events
`frontrun_delete_webhook`	Delete a webhook
`trending_teaser`	Free sample, no API key: top 5 trending companies from the last 7 days
`send_feedback`	No API key: report a confusing error, a missing capability, or a docs gap

Best Practices

Cache results - Data updates periodically, not in real time. Don't poll more than every 30 minutes.
Use convergence - It's the highest-signal endpoint. Threshold 3+ means multiple independent accounts noticed the same entity.
Build rules once - Classification rules persist. Set them up, then every /enriched call auto-applies them.
Monitor your balance - Call frontrun_status to check spend. Set up balance alerts to avoid interruptions.

Hermes Claude Code