SToneX
fd4453ea17
Preserve public page sources and portable maintenance tools while moving hosted records and pricing evidence out of the public tree. Require explicit external pricing evidence and remove hosted database access helpers. Update the catalog, ads conversion, archive, super-admin, data-model, MCP OAuth, API, SEO and skill context fragments. Merge the companion private import before this change.
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page_id, slug, seo_title, meta_description, h1, hub_title, hub_blurb, price_old, price_old_label, price_new, price_new_label, seo_terms, capabilities, facts_used
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| p5 | /use-cases/company-research-for-ai-agents/ | Company Research: Funding, Headcount and Leadership | treg.to | Let your agent search companies and pull funding, headcount and leadership through one key. Eleven providers, from free to $0.38 a record. | Company Research: Funding, Headcount and Leadership | Company data & funding | Search companies, then pull funding, headcount and leadership. Eleven providers, free to $0.38 a record. | $398/mo | Crunchbase + Diffbot, at list | $0.102 | what our run actually cost |
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Page 5: Company and buying-signal intelligence
Hero
Company Research: Funding, Headcount and Leadership
Using treg, find 50 AI infrastructure companies that raised a Series A in the last
12 months. Pull their funding history, headcount and leadership team.
Company search from free to $0.38/record (11 providers), funding history from $0.10/company. Pay per lookup.
[ Start Free ] [ Paste llms.txt ]
S-TRUST-HERO
The old way vs. the treg.to way
| The old way | With treg | |
|---|---|---|
| What you pay for | Crunchbase $99/mo + Diffbot $299/mo, whether you run a search this month or not | One prepaid balance. Company search starts at free and tops out at $0.38 a record |
| Keys | An account and a contract per data vendor, most of them annual | One treg token. Every tool in the catalog answers to it |
| Picking a provider | You buy one and find out afterwards whether it covers your market | catalog get puts all eleven side by side with price, measured success rate and median speed |
| Commitment | Annual data contracts to answer a question that changes every quarter | No subscription. Test coverage for cents before committing to anything |
| The workflow | Funding in one tool, headcount in another, people in a third, joined in a spreadsheet | One agent run: companies, their funding and the people attached to them, in one pass |
A real workflow
Copy this into Claude Code, Cursor, Codex or opencode
Find AI infrastructure companies with 20-200 employees. For each one, pull its
funding history, headcount and leadership, and flag the ones that raised most
recently.
[ Copy Prompt ]
What happens when you run it
The agent finds the companies. Eleven providers answer company search, and the spread is the widest in the catalog:
| Provider | Cost per company | Success rate | Median |
|---|---|---|---|
| Akta | free | 100% (248 calls) | 3.2 s |
| Coresignal | free: returns ids; cost lands on the read | not yet measured | : |
| Hunter Discover | free | 100% (24 calls) | 1.7 s |
| The Companies API | $0.0019, or free with simplified=true |
100% (339 calls) | 0.3 s |
| Lusha | $0.004992 per 25 results | not yet measured | : |
| LeadMagic | $0.025 | 70% (10 calls) | 3.2 s |
| Apollo | $0.026 per page | not yet measured | : |
| Diffbot | $0.0299 | 100% (5 calls) | 0.7 s |
| PDL | $0.38 | not yet measured | : |
| Crunchbase | own key only, no per-call price | not yet measured | : |
A 200× spread for the same job, and three of the eleven are free. That table does not exist anywhere else, because building it means holding accounts with all eleven.
It pulls the detail. Funding history at $0.10 a company with LeadMagic; company enrichment at $0.026 with Apollo or $0.392 with Coresignal; the LinkedIn company page: headcount, leadership, location, at $0.00188.
It finds the people attached to the signal. Person enrichment from $0.025, so the output is a company, a reason to talk to them, and who to talk to.
Read this before you build on it. Coverage differs sharply by provider and by company size: see the funding results in the evidence below, where two small recently-funded startups returned nothing and Stripe returned a full history. Test coverage on your own list first; the misses are free.
What comes back
AI infrastructure · last 90 days · pulled [date]
COMPANY HEADCOUNT SIGNAL STRENGTH DECISION-MAKER
<company> 140 (+22) <round> raised <date> strong <name>, <title>
<company> 68 (+15) hiring in <function>, <n> roles medium <name>, <title>
<company> 310 (+4) <signal> weak <name>, <title>
...
RANKED SIGNALS
1. <signal type>: <n> companies, most recent <date>
2. <signal type>: <n> companies
...
PROVIDERS USED <provider> (search) · <provider> (funding) · <provider> (people)
COST $[from your run]
Structure is illustrative. Values come from the providers, relayed unchanged.
[ Copy Prompt ]
Proof from one real run
Run on treg.to, 17 Aug 2026. Every figure is from the Activity log of that run.
| Field | Value |
|---|---|
| Providers considered | 11 for company search |
| Providers selected | hunter.x.discover-companies (free) · scrapecreators.x.v1-linkedin-company |
| Why | Hunter Discover is free, takes a plain-English brief and resolved it into explicit funding and headcount filters. LinkedIn company data at $0.00188 was the cheapest way to add headcount and leadership |
| Total cost of the run | $0.10188: discovery free, one enrichment, one funding lookup (two further funding lookups missed and cost nothing) |
| Subscription cost avoided | $398/mo at list: Crunchbase $99 + Diffbot $299 |
| Time to completion | Under 5 seconds |
| Data freshness | Live at call time |
| Companies returned | 9, filtered to recently funded AI infrastructure at 20 to 200 employees |
| Cost per company researched | $0.00 for discovery; $0.00188 per company enriched |
What the free call returned. Nine companies with domains and contactable-address counts: Daloopa,
ZincFive, Ethernovia, RunPod, AttoTude, Netris, Bobyard, Normal Computing, Arycs Technologies. Hunter
translated the brief into filters and showed its working: headcount 20-50 and 51-200, funding series
pre-seed through series C+.
The honest read of this run, and it is the most useful thing in it. The LinkedIn enrichment returned the wrong company. Asked for
linkedin.com/company/runpod, it correctly returned a 2-person retail partnership in Sligo, Ireland: because that is what lives at that URL. The AI infrastructure company is at/company/runpod-io. The provider answered exactly what was asked, and a confident wrong answer cost $0.00188.This is the catalog's first selection rule in practice: match the inputs you actually hold, ahead of price. It is also why treg.to relays your request rather than rewriting it: a system that silently "corrected" that URL would have guessed, and guessed inside your research.
The funding leg, run separately. LeadMagic's funding endpoint was tried on three companies:
| Company | Result | Charged |
|---|---|---|
| runpod.io | no funding data | $0.00 |
| daloopa.com | no funding data | $0.00 |
| stripe.com | full history: $9.8B total raised, revenue, last round, named investors | $0.10 |
This is the finding that should change how you use this page. The endpoint works, and works well. Stripe came back with founding year, headquarters, revenue, total funding, the most recent round and the investor list. But it found nothing for either small recently-funded startup, which is precisely the segment the example prompt targets. Coverage is strongest where public reporting is strongest.
The cost structure absorbs this: both misses were free, so testing coverage on your own list costs nothing until it works. Test before you build a workflow on it.
What this page does not cover. Activity and hiring signals are a different job from the one above, and this workflow does not do them: everything shown here is company search, funding, headcount and leadership. If your work depends on hiring or intent signals, check the catalog for what serves that capability before you build on it.
Three things you can do the day you sign up
Test whether your market is the size you think it is. Company search starts free. Before anyone signs a data contract, run the filters that define your ICP and count what comes back.
Build a research brief on a company in one prompt. Funding history, headcount, leadership and the LinkedIn page, pulled together: for well under a cent when the cheap providers cover it.
Watch a list for changes rather than re-researching it. Run the same company set monthly and have the agent report only what moved: new funding, headcount jumps, new leadership. A quiet month costs almost nothing.
Who this is for
- Founders sizing a market or a partner list without buying a database to find out.
- Investors tracking a sector's funding and hiring without a per-seat data platform.
- Sales teams who want a reason to reach out attached to every account, not just a name.
- Market researchers and developers building research agents who want one surface across eleven company data providers and one bill.
Before you sign up
Why not just call the providers directly? Because the answer to "which company data provider should I buy" is genuinely unknown until you test it against your own market: coverage differs far more than price does, and the price differs by 200×. Buying one to find out is the expensive way. Testing all eleven for a few cents is not. If you already pay for one, connect it and those calls route through your key, unmetered. treg.to is closer to OpenRouter for agent tools than to a data vendor: one base URL, one token, many providers behind it.
How are credentials handled?: S-OBJ-CREDENTIALS
Can I choose a specific provider?: S-OBJ-CHOOSE
(Vertical note: the point of this page. Test broadly first, then pin the one that covered your market, so
the whole team's numbers stay consistent.)
Can I use my existing provider key?: S-OBJ-OWN-KEY
(Crunchbase is own-key only here: if your team has a licence, connect it and those calls cost nothing on
treg.to.)
What happens if a provider fails?: S-OBJ-FAILURE
How much does a call cost? Company search is free with three of the eleven providers and $0.38 a record at the top end. Funding history is $0.10 a company; person enrichment from $0.025. The exact price is shown before the call, and treg.to adds no markup. New teams start with $1.00 of free credit.
Is there a Crunchbase MCP? This is one. treg.to is a single MCP server that carries Crunchbase alongside ten other company-search providers: one token, and the agent compares them by price before it calls.
Is this a Crunchbase or PitchBook alternative? For per-company lookups, yes: pay per record instead of a seat. For analyst tooling and valuation models, no.
Which agents does it work with?: S-OBJ-AGENTS
Next steps
Individual jobs you can run now
- Build a Company List by Industry, Size or Tech
- Enrich a Company From Its Domain
- Employee Reviews of a Company
- Job Postings Across Companies
Final section
Research a market this afternoon, without buying a database
[ Start Free ]
S-FINAL-CTA-TRUST
Ad and creator kit
Campaign material is maintained in treg-internal.