Provider benchmark · people.domain.search
Find all contacts and email addresses at a company domain
4 providers ranked for people.domain.search on 10,357 real looot calls in the last 30 days. Icypeas has the highest success rate, 100%. Tomba costs least per success, $0.00893.
Updated
- Providers
- 4
- Ranked providers
- 4
- 20+ calls in 30 days
- Calls in 30 days
- 10,357
- Top success rate
- 100%
- Icypeas
- Fastest median
- 112 ms
- Tomba
- Cheapest per success
- $0.00893
- Tomba
Leaderboard
Who does people.domain.search best
Ranked by success rate, then cost per success, then speed. A provider needs 20 calls in the last 30 days to be ranked.
| Rank | Provider | Success rate | Median time | Price | Cost per success | Calls (30 days) |
|---|---|---|---|---|---|---|
| 1 | Icypeas | 100% | 41.5 s | $0.019 per result | Depends on results | 1,222 |
| 2 | QuickEnrich | 99.8% | 488 ms | $0.00483 per result | Depends on results | 717 |
| 3 | Hunter | 99.7% | 168 ms | $0.00245 per result | Depends on results | 8,057 |
| 4 | Tomba | 99.6% | 112 ms | $0.0089 per call | $0.00893 | 322 |
Run it
Run people.domain.search from your agent
Run the job itself (job:people.domain.search) with fallback on: looot picks a provider that can answer now and tries the next on a miss. You see the price before each call and pay from a prepaid balance.
No looot yet? Connect the MCP server below, or start a workspace.
Connect in 30 seconds
Pick the client you use and add looot once. Each client takes one step, then your agent does the rest.
01Claude Code
Run this in your terminal, then sign in from the browser when it asks.
Terminal commandclaude mcp add looot https://api.looot.ai/mcp --transport http
02Cursor
Create .cursor/mcp.json with this server, then sign in from the browser.
mcp.json{"mcpServers":{"looot":{"url":"https://api.looot.ai/mcp"}}}
03ChatGPT
Where your plan lets you add a connector, add this URL and sign in.
Connector URLhttps://api.looot.ai/mcp
Then tell your agent, in any client:
set up https://looot.ai/skill.mdEndpoints
Every endpoint for people.domain.search
Each endpoint in the public catalog that does this job, with its own numbers. Numbers appear from 10 calls in the last 30 days.
| Endpoint | Provider | Success rate | Median time | Price | Calls (30 days) |
|---|---|---|---|---|---|
| Hunter / Find email addresses at a domain | Hunter | 99.7% | 168 ms | $0.00245 per result | 8,057 |
| Icypeas / Find role-based emails at a domain | Icypeas | 100% | 41.5 s | $0.019 per result | 1,222 |
| QuickEnrich / List a company's contacts by domain | QuickEnrich | 99.8% | 488 ms | $0.00483 per result | 717 |
| Tomba / Find email addresses at a domain | Tomba | 99.6% | 112 ms | $0.0089 per call | 322 |
| Hunter / Find email addresses at a domain (POST) | Hunter | 100% | 161 ms | $0.00245 per result | 39 |
How we measure
- Window: every call made through looot in the last 30 days, read 2026-11-10 23:26 UTC.
- Success rate: the share of calls the provider answered without an error. An empty answer (for example no email found) counts as an answer. It does not check that the data is right. Calls that failed on looot's side are left out.
- Median time: half of the calls answered faster than this, as looot measured them. A 95th percentile is not published yet.
- Minimum calls: an endpoint shows numbers from 10 calls, and a provider is ranked from 20 calls. Rows below that say "Not enough calls to rank".
- One row per provider: the provider's endpoint with the most calls for the job. Every endpoint is listed in the endpoints table.
- Price: what looot charges per call or per result, in US dollars, from a prepaid balance. No subscription and no credits.
- Cost per success: the price per call divided by the success rate. A per-result price depends on how many results a call returns, so it has no cost per success.
- Source: GET https://api.looot.ai/v1/public-catalog/<endpoint>?stats=1 for each endpoint, and the public catalog for prices and jobs.
FAQ
Questions
Run people.domain.search on the provider that answers.
One key, one prepaid balance, the price shown before each call.