← 返回
未分类 Key 中文

OpenMerch Contact Discovery

Find a professional's work email from their name and company domain. Powered by OpenMerch. Not email verification.
根据姓名和公司域名查找专业人士的工作邮箱。由OpenMerch提供支持,不进行邮箱验证。
kernel-gd kernel-gd 来源
未分类 clawhub v1.0.2 1 版本 98412.7 Key: 需要
★ 0
Stars
📥 62
下载
💾 0
安装
1
版本
#latest

概述

Contact discovery — email finder (powered by OpenMerch)

Find a professional's work email address given their first name, last name, and

company domain. **This skill is for contact lookup — not email verification or

deliverability checking.** It returns a found email address with a confidence

score, plus available profile fields (title, LinkedIn URL) when the provider

has them.

The exact price is confirmed by /v1/plan before anything runs — currently

roughly $0.008–$0.013 per lookup depending on the routed provider. The skill

never charges more than the planned max_cost. ClawHub does not handle billing

and takes no fee — the charge is between you and OpenMerch.

Get a key from the Developer page in the OpenMerch app:

export OPENMERCH_API_KEY="om_live_xxxxxxxx"
# Optional — defaults to https://api.openmerch.dev:
# export OPENMERCH_BASE_URL="https://api.openmerch.dev"

What this calls

No hidden network behavior. This skill makes only these OpenMerch HTTP calls, in order:

  1. POST {OPENMERCH_BASE_URL}/v1/plan — confirm the job is executable and get the price.
  2. POST {OPENMERCH_BASE_URL}/v1/execute — run the lookup (one job).
  3. GET {OPENMERCH_BASE_URL}/v1/jobs/{job_id}only if the job is still executing, to poll

until it finishes. Most runs return completed immediately and no polling is needed.

Every request sends the header X-OpenMerch-Key: $OPENMERCH_API_KEY.

How to run

Option A — reference script (deterministic)

Requires Node 18+ (no npm install):

node find-email.mjs Jane Doe acme.com

Prints a normalized JSON result to stdout and exits non-zero on error.

Option B — agent-driven (instructions)

1. Plan. POST /v1/plan:

{
  "job_type": "contact_discovery_v1",
  "input": {
    "operation": "email-finder",
    "params": {
      "first_name": "Jane",
      "last_name": "Doe",
      "domain": "acme.com"
    }
  }
}
  • If can_execute is not true, stop and report the reason. Do not execute.
  • Set max_cost = quoted_customer_price_microcents if present, otherwise

estimated_cost.max_microcents. /v1/plan is the source of truth for the price — never

hardcode one.

2. Execute. Generate one UUID v4 as idempotency_key. POST /v1/execute:

{
  "job_type": "contact_discovery_v1",
  "input": {
    "operation": "email-finder",
    "params": {
      "first_name": "Jane",
      "last_name": "Doe",
      "domain": "acme.com"
    }
  },
  "max_cost": "<max_cost from step 1>",
  "idempotency_key": "<uuid>"
}

Reuse the same idempotency_key on retry for the same lookup to prevent double charges.

Generate a new key only for a genuinely new lookup.

3. Poll only if needed. If status is "executing", poll GET /v1/jobs/{job_id} every ~1s

(cap ~8 tries / ~15s) until status is completed, failed, or cancelled.

4. Report. On completed, present the normalized result (below). On failed/cancelled,

report error.code and error.message. Always report cost_usd and job_id.

curl equivalent

BASE="${OPENMERCH_BASE_URL:-https://api.openmerch.dev}"

curl -sS -X POST "$BASE/v1/plan" \
  -H "X-OpenMerch-Key: $OPENMERCH_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"job_type":"contact_discovery_v1","input":{"operation":"email-finder","params":{"first_name":"Jane","last_name":"Doe","domain":"acme.com"}}}'

Output

{
  "email": "jane@acme.com",
  "first_name": "Jane",
  "last_name": "Doe",
  "domain": "acme.com",
  "position": "Head of Sales",
  "linkedin_url": "https://linkedin.com/in/janedoe",
  "score": 90,
  "raw": { "...": "verbatim OpenMerch job output" },
  "cost_usd": 0.013,
  "job_id": "…"
}

position and linkedin_url appear only when the provider returns them. score is a

0–100 confidence value; 90+ indicates high confidence. raw is the full unmodified

OpenMerch job output and is the source of truth. cost_usd is derived from the actual

cost.total_microcents charged.

Notes & limits

  • One lookup per run. Input requires first name, last name, and company domain.
  • This skill is for finding an email address — it does not verify deliverability.
  • The skill executes a single atomic OpenMerch job — no multi-step orchestration.
  • All monetary values from OpenMerch are in microcents (1 cent = 100,000 µ¢;

$1.00 = 10,000,000). cost_usd is cost.total_microcents / 10000000.

版本历史

共 1 个版本

  • v1.0.2 当前
    2026-06-09 19:34

安全检测

腾讯云安全 (Keen)

队列中

腾讯云安全 (Sanbu)

队列中

🔗 相关推荐

developer-tools

Github

steipete
使用 `gh` CLI 与 GitHub 交互,通过 `gh issue`、`gh pr`、`gh run` 和 `gh api` 管理议题、PR、CI 运行及高级查询。
★ 668 📥 324,060
ai-intelligence

Self-Improving + Proactive Agent

ivangdavila
自我反思+自我批评+自我学习+自组织记忆。智能体评估自身工作、发现错误并持续改进。
★ 1,356 📥 318,138
ai-intelligence

ontology

oswalpalash
类型化知识图谱,用于结构化智能体记忆与可组合技能。支持创建/查询实体(人员、项目、任务、事件、文档)及关联...
★ 711 📥 243,740