Crustdata

Crustdata

A real-time API for company and people data — sales, recruiting and investing teams query it directly, or plug it straight into Claude via MCP, instead of buying a static list that's already stale.

🔗 Visit Crustdata
📁 Data & Analytics🗣️ English📅 July 31, 2026

Description

Sales, recruiting and investment teams have long relied on data providers that sell a list — a CSV export of companies or contacts that starts going stale the moment you download it. Crustdata takes a different approach: instead of a list, it's a live API you query in real time, covering more than a billion people and over 60 million companies, so the data you get back reflects what's true today rather than what was true when the file was last refreshed.

Crustdata is a real-time B2B data API built for programmatic access rather than manual list-building. It exposes company and people search, profile enrichment, and signal monitoring (hiring, funding, leadership changes) through a REST API, and — notably — through Claude's Model Context Protocol, letting an AI agent query it directly during a workflow instead of a human exporting data first. The company reports 1.4-second median search latency, a 2-day median data freshness window, and 96% fact-verification accuracy on returned records. Pricing is credit-based across usage tiers, with flat-file bulk delivery refreshed monthly also available, and custom pricing for enterprise volume.

💬 Our review

The short version: if you're building a product or workflow that needs company/people data as a live API rather than a one-time export, Crustdata is a credible, more automation-friendly alternative to the established data providers.

Against Clearbit and Apollo.io, both of which built their reputation on enrichment for sales and marketing tooling, Crustdata's differentiator is real-time querying and native MCP support — the second part matters specifically if you're building AI agents that need to look up company data mid-task rather than pre-loading a database. Against People Data Labs and Coresignal, which compete more directly on raw data-API access, the claimed 2-day freshness and 96% verification are the numbers worth pressure-testing with a trial before committing budget, since data-quality claims in this space vary widely between marketing copy and production reality. Credit-based pricing is standard for the category but makes cost hard to estimate up front — get a sense of your actual query volume before assuming a tier. Best fit: engineering teams building sales, recruiting or investment tooling that needs programmatic, near-live data access, especially anything agentic. Weaker fit: a small team that just wants an occasional list export — a simpler point tool will be cheaper and less to integrate.

💰 Pricing

Payant, à l'usageCrédits par requête, paliers mensuels/annuels, fichier plat mensuel en option, entreprise sur devis
Usage (crédits) selon volume, sur devisEnterprise sur devis

📊 Global score

53Average
🌐Availability15/100Faible

1 language · 0 platform

📄Profile90/100Excellent

Profile completeness

🤖 AI-enriched data

💰 Pricing model
💳 Payant, à l'usage (crédits)

Paliers à l'usage basés sur des crédits, facturation mensuelle ou annuelle. Livraison en fichier plat avec rafraîchissement mensuel disponible. Tarification entreprise sur devis.

👥 Target audienceÉquipes ingénierie/sales/recruiting/investissement qui ont besoin d'un accès programmatique en temps réel à des données entreprises et personnes, y compris pour des agents IA
🗣️ Languagesen
🌍 Target countriesMarché anglophone, SaaS/API global
👍

Pros

Données en temps réel via API plutôt qu'un export statique qui devient obsolète

Support natif du Model Context Protocol de Claude — interrogeable directement par un agent IA

Fraîcheur des données annoncée à 2 jours médians, latence de recherche de 1,4 seconde

Couverture large : 1 milliard+ de personnes, 60 millions+ d'entreprises

👎

Cons

Tarification à crédits difficile à estimer sans connaître son volume de requêtes réel à l'avance

Chiffres de fraîcheur/précision (96%) à vérifier soi-même en essai avant d'engager du budget

Overkill pour une équipe qui a juste besoin d'un export ponctuel de liste

Marché déjà occupé par des acteurs établis (Clearbit, Apollo.io) avec un historique plus long

❓ Frequently asked questions

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