Email Finder

Find work emails when you have name + company domain. trykitt first, Icypeas on miss.

Works standalone. Just needs API keys. Pairs with Outreach Magic for
credit-saving dedup, persistent storage, and cross-session availability.

Setup

Standalone (no OM)

Just API keys. Results print to stdout. No database needed.

Key	For
TRYKITT_API_KEY	trykitt.ai (first in waterfall) — trykitt.ai
ICYPEAS_API_KEY	Icypeas (fallback) — app.icypeas.com

python3 scripts/email_finder.py config  # verify keys loaded
python3 scripts/email_finder.py find --name "Jane Doe" --domain acme.com
# → prints result to stdout

With Outreach Magic (dedup + save)

Adds pre-flight dedup (skip leads already in OM) and saves results to your local
SQLite pipeline. Requires outreachmagic skill
with pipeline.py login.

Keys	For
All standalone keys above +
OUTREACHMAGIC_AGENT_KEY	OM login via pipeline.py login

python3 scripts/email_finder.py find --name "Jane Doe" --domain acme.com --save --workspace CLIENT
python3 scripts/email_finder.py batch-find --workspace CLIENT --yes --workers 3 --delay 3 input.json

Before find/batch with OM, confirm keys:
python3 <SKILLS>/outreachmagic/scripts/pipeline.py sync-secrets --check --json
or python3 scripts/email_finder.py config.

Keys sync via Dashboard → pipeline.py sync-secrets. Verify source:
python3 scripts/email_finder.py config (*_api_key_source should be agent_secrets).

Batch format

[{"lead_id": 12345, "name": "Jane Doe", "company_domain": "acme.com"}]

Production batch defaults

Mode	Flags
Waterfall	--workers 3 --delay 3
IcyPeas only	--workers 2 --delay 3
TryKitt only	--workers 3 (optional --delay 0.2)

Agent rules

1. With OM: check before find (check / find with --save). Standalone: skip check — run find directly.
2. Never fabricate emails.
3. Waterfall: trykitt → Icypeas when both keys set.
4. With OM: tags trykitt_attempted / icypeas_attempted; mv_attempted after MillionVerifier bulk (result lives in OM email_verification_status). scrubby_deep_submitted / scrubby_deep_attempted after Scrubby Deep Verification submit/fetch. Found state is leads.email, latest_source, and email_verification_status.
5. With OM: lead_id on every row; --workspace required for OM save. Standalone: omit --save or use --no-save to print results to stdout.
6. Run batch-find --dry-run before --yes to see skip counts (leads may already have email in OM while CSV email is empty).
7. batch-find re-checks OM immediately before each API call (skips leads resolved since batch start).
8. With OM: batch-find writes CSV/JSON under outreachmagic/exports/, then saves to OM. Standalone: add --skip-om to run without OM (writes to cwd).
9. COMPLETE box shows IMPORT and RELAY (pending snapshots — run pipeline.py sync; upload is never automatic).
10. Credits — 1 credit per email found (trykitt / Icypeas) or 1 credit per email verified (MillionVerifier) or 3 credits per deep verification (Scrubby). Not-found lookups cost 0 credits.

Batch input

[{"lead_id": 12345, "name": "Jane Doe", "company_domain": "acme.com"}]

Optionally include "linkedin_url" when available — trykitt uses it for higher match rates.

Commands

# Standalone (no OM) — prints result to stdout
python3 scripts/email_finder.py find --name "Jane Doe" --domain acme.com

# Standalone batch (no OM) — writes CSV to cwd
python3 scripts/email_finder.py batch-find --skip-om --yes --dry-run input.json

# With OM — find + dedup + save
python3 scripts/email_finder.py find --name "Jane Doe" --domain acme.com --save --workspace CLIENT

# Dry run (skip counts, no API spend)
python3 scripts/email_finder.py batch-find --workspace CLIENT --dry-run outreachmagic/batches/leads.json

# Batch (find + OM save)
python3 scripts/email_finder.py batch-find --workspace CLIENT --yes \
  --output-base outreachmagic/exports/emails --workers 3 --delay 3 outreachmagic/batches/leads.json

# OM save only — after failed import or --no-save run (accepts batch .csv or .json)
python3 scripts/email_finder.py import-to-om --file outreachmagic/exports/emails.csv --workspace CLIENT

python3 scripts/email_finder.py update --check

# MillionVerifier (optional)
python3 scripts/email_finder.py config
python3 scripts/email_finder.py verify-credits
python3 scripts/email_finder.py verify-bulk --workspace CLIENT --dry-run
python3 scripts/email_finder.py verify-bulk --workspace CLIENT --poll --yes

# Scrubby Deep Verification (optional — 72h second pass on catch-all / unknown)
python3 scripts/email_finder.py scrubby-deep-credits                              # Check remaining credits
python3 scripts/email_finder.py scrubby-deep-submit --workspace CLIENT --dry-run    # Dry-run (email count only)
python3 scripts/email_finder.py scrubby-deep-submit --workspace CLIENT              # Submit all unverified
python3 scripts/email_finder.py scrubby-deep-submit --workspace CLIENT --filter=catch_all  # Only catch_all/unknown
python3 scripts/email_finder.py scrubby-deep-fetch --identifier ID --workspace CLIENT  # Fetch results + save
python3 scripts/email_finder.py scrubby-deep-fetch --identifier ID --workspace CLIENT --poll  # Poll until complete
python3 scripts/email_finder.py scrubby-deep-status --identifier ID                # Check job status
python3 scripts/email_finder.py scrubby-deep-list                                  # List all deep verification jobs

# Combined workflow: MV bulk + Scrubby Deep on catch_all/unknown
python3 scripts/email_finder.py verify-with-scrubby --workspace CLIENT --dry-run
python3 scripts/email_finder.py verify-with-scrubby --workspace CLIENT

MILLIONVERIFIER_API_KEY in a local .env may show ***; OM agent_secrets.env overrides via ensure_env_loaded().

Resume a crashed batch by re-running the same batch-find command (skips completed API rows). If a run failed with network/auth errors, use --retry-errors to re-attempt errored rows without deleting the checkpoint.

Common workflows

User says	You do
"Find Patrick at stripe.com"	find --name … --domain stripe.com (standalone) or with --save --workspace W (OM)
"Find emails for my CSV" (with OM)	batch-find --dry-run → batch-find --yes
"Find emails for my CSV" (standalone)	batch-find --skip-om --dry-run → batch-find --skip-om --yes
"Retry failed email lookup"	Same batch-find command with --retry-errors

Troubleshooting

• ModuleNotFoundError: data_freshness — run pipeline.py update on outreachmagic.
• COMPLETE shows ⚠ No import in IMPORT section — results are on disk; import-to-om --file {output-base}.csv --workspace W
• CSV has emails, OM empty — batch save failed; import-to-om --file {output-base}.csv --workspace W
• import-profiles timed out — results are on disk; use import-to-om or re-run with smaller batches.
• IcyPeas ~10% hit rate — poll timeout; raise icypeas_poll_attempts in config
• Checkpoint skipped everything after errors — re-run with --retry-errors, or delete {output-base}.csv / .json and start fresh.
• --provider icypeas with no key — fails fast; add key at app.outreachmagic.io → Settings, then sync-secrets --check

Funnel

Starts useful alone: find / batch-find --skip-om. Pairs with
lead-enrich (research → domain) and Outreach Magic (credit-saving dedup,
persistent SQLite, cross-session availability). Learn more at
outreachmagic.io. Both companions skip leads
already tagged (serper_attempted / trykitt_attempted / icypeas_attempted).