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": "\x3Cmax_cost from step 1>",
  "idempotency_key": "\x3Cuuid>"
}

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": "[email protected]",
  "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.