# Terbium Labs

**Canonical:** https://apis.io/providers/terbium-labs/  
**APIs profiled:** 0

Terbium Labs was a Baltimore-based dark web data intelligence and digital risk protection company (founded 2013) best known for Matchlight, a fully private, automated platform that used patented data-fingerprinting to detect a customer's sensitive data (PII, credentials, intellectual property) as it appeared for sale or leak across the open, deep, and dark web. Matchlight was offered through a web console and a REST API, plus an "Unstructured Data Pipe" that streamed raw crawled dark-web source data to partners. Terbium Labs was acquired by Deloitte in June 2021, with its technology, most staff, and customers folded into Deloitte's Detect & Respond cyber practice. The independent company no longer operates and its developer surface at terbiumlabs.com is offline (the domain resolves no A records and there is no public GitHub organization), so no live API artifacts can be harvested.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.0).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Tags

Company, Cybersecurity, Dark Web, Digital Risk Protection, Threat Intelligence, Data Loss Prevention, Acquired

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/terbium-labs/). Scores are computed from the provider's own public artifacts under a published rubric.