Subscription figures are provider list prices recorded in treg.to’s own catalog grid; per-call prices are what treg.to charges today, with $0.000 added.
set up treg — https://treg.to/llms.txt
Using treg, find 25 heads of growth at US SaaS companies with 50 to 200 employees. Show me the price first, keep the result set small, and give me name, title, company and LinkedIn URL.
Several providers bill per row. “Find everyone” is a bill, not a query.
Some searches are free and only the contact details cost.
Seniority, department, headcount and location are provider filters, not your post-processing.
Company domain resolves cleanly. A company name does not, and returns the wrong people.
Connect once, keep the token server side, and call from any agent.
No SDK, no OAuth dance per vendor, no seats.
treg.to does not choose for you. It hands ChatGPT this comparison, with the price shown before any call, and ChatGPT picks. Or you tell it how: "cheapest", "most reliable", "the one that takes what I have", or a provider by name.
Crawl4AI at $0.0005 · People & contact data
Icypeas at $0.00038 · People & contact data
HarvestAPI at $0.004 · LinkedIn
Those units are not interchangeable: one call can return many results, so compare on the unit you will actually be billed in.
| Provider | Success | Median | Sample |
|---|---|---|---|
| Crawl4AI | 100% | 360ms | 2986 calls |
| 100% | 616ms | 1648923 calls | |
| QuickEnrich | 100% | 71ms | 6603391 calls |
| 100% | 304ms | 70381 calls | |
| 100% | 275ms | 291040 calls | |
| Prospeo | 100% | 369ms | 178115 calls |
Measured on treg.to traffic: real calls, real inputs, and sample sizes differ by provider. Live reliability, not a controlled benchmark.
| Provider | Price | Accepts | Success rate | Verified |
|---|---|---|---|---|
| Crawl4AI | $0.0036 per found | first_name, last_name, limit | not yet measured | 2026-10-11 |
| HarvestAPI | $0.004 per call | search, currentCompany, pastCompany, school, firstName, lastName | not yet measured | 2026-09-10 |
| $0.0295 per found | name, firstName, lastName, title, company, school | not yet measured | unverified |
| Provider | Price | Accepts | Success rate | Verified |
|---|---|---|---|---|
| $0.00038 per result | query, pagination | 100% (1648923 calls) | 2026-08-20 | |
| BlitzAPI | $0.000495 per result | company, people, max_results, cursor, company_linkedin_url, country_code | not yet measured | 2026-10-16 |
| Crawl4AI | $0.0005 per found | where, limit | 100% (2986 calls) | 2026-10-31 |
| $0.00125 per result | job_title, company_domain, company_name, limit, company_filters, titles | 99% (329211 calls) | 2026-08-28 | |
| LimaData | $0.002 per result | ai_prompt, filter_expression, filters, limit, offset | not yet measured | 2026-09-17 |
| $0.00245 per result | company_name, location, industry, headcount, company_type, founded_year | 100% (291040 calls) | 2026-07-31 | |
| Aviato | $0.0025 per found | dsl, page, perPage, enrich, fullName, headline | not yet measured | 2026-08-25 |
| AI Ark | $0.00263 per found | account, contact, lists, page, size | 100% (539977 calls) | 2026-09-17 |
| QuickEnrich | $0.00483 per result | company_url, title, page, has_email, locality, company_name | 100% (6603391 calls) | 2026-09-08 |
| $0.00499 per result | pages, filters | not yet measured | 2026-07-28 | |
| Parallel | $0.005 per call | entity_type, objective, match_limit | not yet measured | 2026-10-09 |
| Village.ai | $0.006 per result | prompt, filters, limit, mode, scope, cursor | not yet measured | unverified |
| Exa | $0.007 per call | query, category, numResults, includeDomains, contents | not yet measured | 2026-08-27 |
| Crustdata | $0.009 per result | filters, search, fields, sorts, limit, cursor | not yet measured | 2026-08-25 |
| MoltSets | $0.01 per result | query, title, company, company_domain, country, state | not yet measured | 2026-09-16 |
| Sumble | $0.01 per result | people, filter, select, limit, offset, order_by_column | not yet measured | unverified |
| Wiza | $0.0125 per found | filters, size, page_token, list, id, max_profiles | not yet measured | 2026-09-16 |
| $0.0162 per result | size, peopleFilters, companiesFilters, peoplePerCompany, jobTitleThreshold, searchAfter | 100% (6693 calls) | 2026-08-20 | |
| $0.0196 per result | expand, page, pageSize, domains, positionQuery, seniority | 100% (70381 calls) | 2026-08-20 | |
| $0.0198 per result | domain, roles, webhook_url, website, job_titles, count | 99% (48516 calls) | 2026-08-28 | |
| ContactOut | $0.02 per result | job_title, past_job_title, job_function, seniority, skills, languages | not yet measured | unverified |
| $0.02 per result | searchParams, currentCompanies, pageSize, cursor | 96% (44379 calls) | unverified | |
| Prospeo | $0.0245 per found | filters, page | 100% (178115 calls) | 2026-09-16 |
| Diffbot | $0.0299 per result | query, type, size, from, format, jsonmode | not yet measured | 2026-07-28 |
| Sixtyfour AI | $0.03 per result | query, mode, page_size, max_results, persist_history, output_shape | not yet measured | unverified |
| HarvestAPI | $0.1 per call | search, currentCompanies, pastCompanies, locations, geoIds, schools | 100% (44215 calls) | 2026-09-10 |
| People Data Labs | $0.28 per result | sql, query, size, scroll_token, dataset, titlecase | not yet measured | 2026-07-31 |
| Enrichlayer | $0.3 per result | country, first_name, last_name, education_field_of_study, education_degree_name, education_school_name | 99% (3287 calls) | 2026-10-01 |
| free, your own account | person_titles[], person_seniorities[], person_locations[], organization_locations[], q_organization_domains_list[], organization_num_employees_ranges[] | not yet measured | 2026-08-29 | |
| Coresignal | free, your own account | query | not yet measured | unverified |
| no dollar rate published | field_ids, query, order, limit, after_id | not yet measured | unverified | |
| Dropleads | free, your own account | filters, pagination | 97% (2493648 calls) | 2026-09-15 |
| GetLeads.io | free, 5 calls a day on treg.to's key, then your own key | filters, limit, offset, max_per_company, columns, where_sql | not yet measured | 2026-09-16 |
| free, your own account | cursor, companyDomains, companyNames, companyIndustries, companyTypes, companyFundingRounds | 100% (1687561 calls) | 2026-08-20 |
treg call crawl4ai.people.search --data '{"where":{"company":{"domain":"stripe.com"}},"limit":3}'Swap the id for any provider above. All 51 endpoints behind this job, with their parameters and captured responses, are on the LinkedIn, People & contact data shelf.
The complaints here are less about accuracy than about access: the search that does not exist, the bill that scales with rows, and the seat licence. From ~180 Reddit and X posts in August 2026, vendor rings excluded.
“I need an open search option where I can find people across companies by job title (e.g., 'CTO' or 'Product Manager') and other filters.” Reddit
What this page can do about it: That is this job. The comparison below marks which providers support unbounded search by title and location, and which can only list people at a company you already named.
“zoominfo has the best mobile numbers by far, but at like 15k/seat minimum they're pricing out anyone who isn't enterprise” r/CRM
What this page can do about it: There are no seats here and no minimum. Calls are metered per row or per call from a shared team balance that starts with $1.00 free, so a hundred-row test costs cents.
“scraping twitter directly got my accounts banned pretty fast. linkedin is even worse, flags you almost immediately.” r/openclaw, 72 points
What this page can do about it: The providers here run their own infrastructure, so your accounts are not in the loop. That is an operational answer, not a legal one: check each provider's terms for your use, because treg.to relays their answer and makes nothing lawful that was not.
“I've heard of ZoomInfo, Apollo, LeadSquared, IndiaMART but no idea about quality for Indian market specifically.” r/b2bmarketing
What this page can do about it: No comparison table can answer this, and anyone claiming otherwise is guessing. Per-row pricing makes the real test cheap: run the same 100-row query of your actual market through three providers and keep the one that holds up.
Apollo's people search is free precisely because it returns no emails or phone numbers, Hunter's multi-domain search is free until you unlock an address, and Lusha's search returns masked previews. Budget for the reveal, not the search.
People Data Labs charges one credit for every record in the response, so a size=1000 call is a thousand credits; Icypeas charges 0.02 credits a row. Both are legitimate, but only one survives an agent that forgets to set a limit. Cap the result set in the prompt.
LeadMagic and CompanyEnrich want a company domain; a bare company name is ambiguous and quietly returns people from the wrong company. Give the domain wherever you have it.
It queries a provider's index of working professionals by attributes rather than by name: job title, seniority, department, company, headcount, industry, location. It answers “who are the people like this”, where an enrichment API answers “who is this person”. Most of these return the person without contact details, which you then resolve separately.
Usually not, and that is why the search is cheap or free. You get the person and then resolve the address with a separate call, which is a separate price.
Set a limit. Providers that bill per row charge for every record they return, so a thousand-row response is a thousand charges. Ask the agent for a small result set first.
Both exist here, and they are different products. The comparison marks which providers support open search by title and location and which need a company first.
Search on a free or per-row-cheap provider, filter down to the people you actually want, then spend on contact details only for those. The two-step flow is why search and reveal are priced separately.