What's the difference between resolve_company and enrich_company?

`resolve_company` reads the existing directory record (1 credit for a domain, 3 for LinkedIn). `enrich_company` runs the full pipeline — live search grounding, a site scrape, tech fingerprinting and LinkedIn/jobs/GitHub passes — and creates the company if it does not exist yet (5 credits). Read first; enrich only when the read is missing or stale.

Is the revenue figure reliable?

The response marks it explicitly: `is_revenue_verified` tells you whether the estimate was grounded in a verified source or is a model estimate. Treat unverified values as directional and say so when you quote them.

Do I need an API key?

Yes — every tool requires an sk_live_ key, including `trust_reputation` and `effective_domain_rating` (they cost 0 credits, but still authenticate). Create one at https://www.startuphub.ai/my-account?tab=api.

StartupHub Enrich MCP Connector for Claude

A+

Turn any domain into a full company dossier: funding, revenue, tech stack, hiring, news mentions and Reddit sentiment.

12 tools Official Updated Oct 1, 2026 Official Vinkius Partner

More Details Connect to Claude

Connect StartupHub.ai to your AI agent and enrich any company from its website alone — the way enrichment should work: one identifier in, a full dossier out.

What you can do

Resolve any identifier — A domain or a LinkedIn company URL becomes a full record: name, slug, sectors, HQ, funding, headcount and score. Domains cost 1 credit, LinkedIn 3
Batch-enrich a CRM export — Up to 100 domains per call, each echoing a matched flag so you know exactly which rows need a follow-up enrichment
Deepen a profile on demand — Run the grounded enrichment pipeline (live search grounding, site scrape, tech fingerprint, LinkedIn/jobs/GitHub passes) to create or refresh a company
Read the numbers — Funding snapshot (total raised, latest round, valuation, fundraising status, capital efficiency) and estimated revenue with a clear verified-vs-estimate flag
See the stack — Detected CDN, hosting, email provider, frameworks, payments and analytics, with a fingerprint timestamp
Read the signals — Hiring velocity with a sample of live open roles, news and podcast mentions with quotes, and public Reddit sentiment
Score trust (0 credits) — A 0-100 trust and reputation score with per-signal breakdown, plus an Effective Domain Rating that shows whether a brand is over- or under-rated vs its Ahrefs DR

How it works

Add this server to your agent
Add your StartupHub API key (Account → API) — required for every tool; anonymous calls are rejected with a payment challenge
Ask: "what do you know about ramp.com?"

Who is this for?

RevOps and data teams — enrich CRM rows from a website field instead of manual research
Sales engineers — walk into a call knowing the prospect's funding, stack and hiring plan
Vendor-risk analysts — trust scores and reputation findings before signing

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12 tools expose this connector's capabilities to your AI agent.

company_mentions

Each mention carries its publication, date, a quote and an importance grade; counts summarise news vs podcast. Costs 1 credit. Good for pre-meeting prep or for spotting a narrative shift; for who-is-hot-this-week across all companies use news_mentions in the discovery server. News and podcast mentions for one company, with quotes and importance grades

company_revenue

Costs 1 credit. Treat unverified estimates as directional, not fact — the response says which is which. Estimated revenue for one company by domain, with verification status and revenue per employee

company_technology

Costs 1 credit. Use it to qualify buyers (e.g. a Greenhouse ATS + SOC 2 badge suggests a mature hiring process) or to find lookalike stacks. Detected technology stack for one company by domain — CDN, hosting, email provider, frameworks, payments, analytics

enrich_company

Runs live search grounding, a website scrape, tech fingerprinting and LinkedIn/jobs/GitHub passes, and creates a pending stub if the company is not on file yet. Costs 5 credits and needs Pro Lite or higher. Set fast=true to read the cached row only (no pipeline, no fresh cost); force=true to re-run even if enriched within the last 7 days. This deepens a row you already found — to discover net-new companies use search_startups instead. Run the full grounded enrichment pipeline on a known company and return its profile

get_startup

g. "anthropic"). Costs 1 credit. Returned fields scale with plan tier: free returns basics, paid returns everything including stealth details. Fetch the full profile of one startup by its StartupHub slug

hiring_scan

Costs 2 credits. The sample titles tell you what a company is building — a run of "Account Executive" hires means a sales motion, "ML Engineer" hires mean product investment. Hiring signal for one company: open-role count, recent velocity and a sample of live roles

resolve_company

com) or a LinkedIn company URL/handle, get back name, slug, website, one-liner, sectors, HQ, funding, employee count and score. Domain lookups cost 1 credit; LinkedIn lookups cost 3 because they can live-fetch from LinkedIn — prefer the domain when you have it. A 404 means no company matched: fall back to search_startups in the discovery server, or enrich_company to create the profile. Resolve a website domain or a LinkedIn company page to a full StartupHub company record

company_funding

Costs 1 credit. Ideal for enriching a single CRM row from its website. Funding snapshot for one company by domain: total raised, latest round, valuation, fundraising status

bulk_match_domains

Costs 1 credit per call regardless of batch size. Unmatched domains are not errors — collect them and run enrich_company on the ones that matter. Batch-resolve up to 100 domains to company records in one call — for enriching a CRM export

reddit_reviews

Costs 1 credit. Real-user complaints are gold for qualification and for objection handling in outreach. Public Reddit sentiment and review snippets for one company

effective_domain_rating

Useful when qualifying marketing-tool prospects: a high EDR with a low DR means real attention that link metrics miss. Effective Domain Rating (0-100): realized cross-surface visibility vs the classic Ahrefs DR

trust_reputation

Great as a pre-outreach sanity check or a vendor-risk signal. Trust and reputation score (0-100) for any domain, with a per-signal breakdown