Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add poolside-ventures/datamerge-mcp --skill datamerge-mcpgit clone --depth 1 https://github.com/poolside-ventures/datamerge-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/poolside-ventures/datamerge-mcp/datamerge-mcp)<a href="https://agentmods.dev/skills/poolside-ventures/datamerge-mcp/datamerge-mcp"><img src="https://agentmods.dev/badge/skills/poolside-ventures/datamerge-mcp/datamerge-mcp/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/poolside-ventures/datamerge-mcp/datamerge-mcp"><img src="https://agentmods.dev/badge/skills/poolside-ventures/datamerge-mcp/datamerge-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00043 | $0.00679 |
| Opus 5.5 | $0.00017 | $0.00272 |
| Sonnet 5.5 | $0.00009 | $0.00136 |
| Haiku 4.5 | $0.00004 | $0.00068 |
Grade A, and why
enrich scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You have access to the DataMerge MCP server (mcp.datamerge.ai). Use it to enrich company data, find contacts at target companies, and manage lists of accounts.
When to activate
- User wants to enrich a company by domain or name
- User needs to find contacts (emails, phone numbers) at a company
- User wants to build a list of target accounts
- User asks about company data, firmographics, or company hierarchy
- User mentions "DataMerge" or wants to look up B2B contact information
- User is doing sales prospecting, lead research, or account research
Authentication
DataMerge requires an API key. Call configure_datamerge with the user's API key before using any other tool. New users can get 20 free credits at https://app.datamerge.ai.
Credit costs
- 1 credit: company record enrichment, validated email
- 4 credits: mobile phone number
- Retrieving by record_id (from a previous job): free
- Always check get_credits_balance before running large batch jobs
Core workflows
Enrich a company
- Call start_company_enrichment_and_wait with the domain (preferred) or company_name
- The tool polls automatically and returns when complete
- Use get_company with the returned record_id to fetch the full record (free)
- For single one-off enrichments, start_company_enrichment_and_wait is the right tool
Find contacts at a company
- Call contact_search with the target domain(s) and enrich_fields: ["contact.emails"] (or add "contact.phones" for mobile)
- Poll get_contact_search_status until status is "completed"
- Use get_contact with each record_id to retrieve contact details (free)
- Use job_titles to filter by seniority/role (e.g. CEO, VP Sales, Head of Marketing)
Company hierarchy
- Enrich the company first to get a datamerge_id
- Call get_company_hierarchy with the datamerge_id
- Use include_names: true to get entity names (costs 1 credit), include_branches to show branch offices
Working with lists
- Use create_list to save a set of companies or contacts (e.g. "Target Accounts Q2")
- Pass list slug to start_company_enrichment or contact_search to add results automatically
- Use get_list_items to retrieve saved records
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 58 lines · 43 tokens per session scan A 9c8f657f422d
enrich is a skill published in the GitHub repository poolside-ventures/datamerge-mcp (0 stars, last pushed 5mo ago), licensed MIT. It adds 43 tokens to every session and 679 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
enrich compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| enrichpoolside-ventures/datamerge-mcp | Skill | 0 | 5mo ago | MIT | A | 43 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 4d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |