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DataMerge

作者 Poolside Ventures · GitHub ↗ · v1.1.0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install datamerge
功能描述
Enrich companies and find B2B contacts using the DataMerge MCP server (mcp.datamerge.ai). Use when the user needs company firmographic data, validated contac...
使用说明 (SKILL.md)

DataMerge

Connect to the DataMerge MCP server at https://mcp.datamerge.ai.

Auth

Call configure_datamerge with the user's API key before using any other tool. New users get 20 free credits at https://app.datamerge.ai.

Credits

  • 1 credit: company enrichment, validated email
  • 4 credits: mobile phone number
  • record_id retrieval (get_company, get_contact): free — always use this to re-fetch

Core workflows

Enrich a company

Use start_company_enrichment_and_wait for single domains — it polls automatically and returns when complete. Use start_company_enrichment + get_company_enrichment_result for batch jobs.

Find contacts

  1. contact_search with target domains and enrich_fields: ["contact.emails"]
  2. Poll get_contact_search_status until completed
  3. get_contact with each record_id to retrieve details (free)

Use job_titles to filter by seniority. Start with emails only — add "contact.phones" only if mobile numbers are explicitly needed (4× the cost).

Find lookalike companies

  1. start_lookalike with companiesFilters.lookalikeDomains (seed domains)
  2. Poll get_lookalike_status until completed
  3. get_company with each record_id (free)

Company hierarchy

Enrich the company first to get a datamerge_id, then call get_company_hierarchy. Set include_names: true to get entity names (costs 1 credit).

Lists

  • create_list to save a group of companies or contacts
  • Pass list slug to enrichment/search jobs to add results automatically
  • get_list_items to retrieve saved records
  • Use skip_if_exists: true to avoid re-enriching duplicates

Tips

  • Check get_credits_balance before running large batch jobs
  • global_ultimate: true returns the top-level parent company instead of the subsidiary
  • strict_match: true requires an exact domain match — use when precision matters over coverage
安全使用建议
This skill appears to do what it says: it calls DataMerge APIs and requires the user's DataMerge API key. Before installing or using it: (1) Confirm you trust https://mcp.datamerge.ai and https://app.datamerge.ai and review their privacy/terms for sending contact/company data; (2) Note the registry metadata did not declare the API key — be clear how the key will be provided/stored and avoid entering a high-privilege or production key until tested; (3) Prefer using a limited/test API key or account and monitor credit usage; (4) Be cautious about sending sensitive PII (personal emails/phone numbers) to the service; (5) If you do not want the agent to call the external API autonomously, disable autonomous invocation or require user consent before actions. If you want higher assurance, ask the publisher to add a declared primary credential in the metadata and provide a privacy/data-handling statement.
功能分析
Type: OpenClaw Skill Name: datamerge Version: 1.1.0 The datamerge skill bundle provides instructions for an AI agent to interact with the DataMerge B2B data enrichment service via an MCP server (mcp.datamerge.ai). The documentation outlines standard workflows for company enrichment, contact discovery, and list management, requiring a legitimate API key for authentication. No evidence of data exfiltration, malicious execution, or prompt injection was found.
能力评估
Purpose & Capability
Name/description align with the instructions: all steps reference the DataMerge MCP server (mcp.datamerge.ai) and DataMerge workflows (company enrichment, contact search, lookalikes, lists). There are no unrelated services, binaries, or config paths requested.
Instruction Scope
SKILL.md contains clear, scoped runtime instructions for calling the DataMerge API, polling jobs, and using credits. It does not instruct reading local files, unrelated env vars, or transmitting data to unexpected endpoints beyond app.datamerge.ai and mcp.datamerge.ai.
Install Mechanism
No install spec and no code files — the skill is instruction-only, so nothing is downloaded or written to disk by an installer.
Credentials
The instructions require a DataMerge API key (explicitly mentioned), but the registry metadata lists no required env vars or primary credential. This is a minor inconsistency: the skill will need user-provided credentials at runtime even though none are declared in metadata.
Persistence & Privilege
always:false and no config paths requested. The skill does not request persistent system presence or elevated privileges. Model invocation is allowed (default), which is expected for a service integration.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install datamerge
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /datamerge 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.1.0
Updated: full coverage of all 19 tools including company enrichment, contact search, lookalikes, hierarchy, and list management
v1.3.0
MCP server added (mcp.datamerge.ai), hierarchy emphasis, free credits prominence
元数据
Slug datamerge
版本 1.1.0
许可证
累计安装 1
当前安装数 1
历史版本数 2
常见问题

DataMerge 是什么?

Enrich companies and find B2B contacts using the DataMerge MCP server (mcp.datamerge.ai). Use when the user needs company firmographic data, validated contac... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 382 次。

如何安装 DataMerge?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install datamerge」即可一键安装,无需额外配置。

DataMerge 是免费的吗?

是的,DataMerge 完全免费(开源免费),可自由下载、安装和使用。

DataMerge 支持哪些平台?

DataMerge 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 DataMerge?

由 Poolside Ventures(@poolside-ventures)开发并维护,当前版本 v1.1.0。

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