# abm_lookalike_account_finder

As a CMO, discover 50 B2B accounts that closely match your top 10 customers' tech stacks and firmographics. This tool analyzes public web data including robots.txt and OpenGraph metadata to identify lookalike accounts for targeted ABM campaigns. Input your top customer domains and desired firmographic filters to receive a ranked list of potential targets with matching technologies and company attributes.

Agent View of the PolicyLayer registry record for `abm_lookalike_account_finder`. HTML page: https://policylayer.com/tools/io-github-getgapup-gapup-mcp/abm-lookalike-account-finder

## Facts

- Tool: `abm_lookalike_account_finder`
- Server: Gapup Mcp (`https://mcp.gapup.io/mcp`) — https://policylayer.com/tools/io-github-getgapup-gapup-mcp.md
- Homepage: https://github.com/getgapup/gapup-mcp-public
- Risk category: Read (Low risk)
- Registry record: grade F, identity unverified
- Server auth posture: open
- Server rate-limited: no
- Parameters: 4 (1 required)
- Recommended policy verdict: Allowed

## Parameters

| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `async` | boolean | no | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti |
| `tech_stack_keywords` | array | no | Specific technologies to match in lookalike accounts |
| `firmographic_filters` | object | no |  |
| `top_customer_domains` | array | yes | List of top 10 customer domains to use as seed accounts |

Parameters from the server's own tool schema.

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "abm_lookalike_account_finder",
    "arguments": {
      "top_customer_domains": []
    }
  }
}
```

## Why abm_lookalike_account_finder is rated Low

This is a data retrieval and analysis tool for competitive intelligence (matching customer lookalikes). It queries public web data (robots.txt, OpenGraph metadata) and returns ranked results. No data is modified, created, destroyed, or executed. The output is purely informational for ABM campaign planning.

From the tool's own definition: "Tool description states it 'analyzes public web data including robots.txt and OpenGraph metadata to identify lookalike accounts' and 'discover 50 B2B accounts that closely match.' Core actions are analysis and identification of existing public data with no…"

## Use case

AI agents call abm_lookalike_account_finder to retrieve information from Gapup Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

## Recommended policy (PolicyLayer)

Verdict: **Allowed**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Gapup Mcp:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "abm_lookalike_account_finder": {}
  }
}
```

## Other tools on Gapup Mcp (270)

- `adversarial_input_stress_tester` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/adversarial-input-stress-tester.md
- `dora_operational_resilience_stress_tes` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/dora-operational-resilience-stress-tes.md
- `financial_model_3statement` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/financial-model-3statement.md
- `gl_reconciler` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/gl-reconciler.md
- `lgpd_data_subject_rights_automator` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/lgpd-data-subject-rights-automator.md
- `monte_carlo_portfolio` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/monte-carlo-portfolio.md
- `process_mining` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/process-mining.md
- `ugc_moderation_classifier` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/ugc-moderation-classifier.md
- `workflow_orchestrator` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/workflow-orchestrator.md
- `abm_architect` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/abm-architect.md
- `account_expansion_mapper` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/account-expansion-mapper.md
- `anti_demissions_hr` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/anti-demissions-hr.md
- `audit_pre_flight` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/audit-pre-flight.md
- `budget_variance_ai` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/budget-variance-ai.md
- `capacity_planning` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/capacity-planning.md
- `capital_strategy` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/capital-strategy.md
- `churn_defender` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/churn-defender.md
- `competitor_moves` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/competitor-moves.md
- `competitor_recommendations` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/competitor-recommendations.md
- `content_engine` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/content-engine.md
- `cross_sell_reco` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/cross-sell-reco.md
- `customer_voice_synth` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/customer-voice-synth.md
- `cyber_risk_auditor` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/cyber-risk-auditor.md
- `deal_structurer` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/deal-structurer.md
- `discovery_prep` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/discovery-prep.md
- `diversity_inclusion_metrics` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/diversity-inclusion-metrics.md
- `earnings_reviewer` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/earnings-reviewer.md
- `enps_auto` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/enps-auto.md
- `event_marketing` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/event-marketing.md
- `fraud_detector` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/fraud-detector.md
- …and 240 more: https://policylayer.com/tools/io-github-getgapup-gapup-mcp.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=io-github-getgapup-gapup-mcp · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/io-github-getgapup-gapup-mcp