# Specific Labs

**Canonical:** https://apis.io/providers/specific-labs/  
**Website:** https://withspecific.com  
**APIs profiled:** 0

Specific Labs is a Y Combinator-backed (Fall 2025) applied AI research lab based in San Francisco and operated by Bear AI Inc. The company builds datasets and benchmarks derived from real enterprise workflows, capturing authentic business decision-making patterns and audio and enterprise data that are otherwise hard to access, and turns them into training data and evaluation benchmarks for building reliable, domain-grounded AI agents. It works with frontier AI labs seeking datasets from real enterprises and with enterprises building dependable agents. Founded by Janak Sunil (CEO, formerly Coinbase) and Siddhant Paliwal (CTO). As of this profile Specific Labs publishes a marketing site with a benchmarks page and company information, and does not yet expose a public API, SDKs, or developer portal.

## Kin Score — 7.1 / 100 (minimal)

Scored 2026-08-17 under rubric 0.11.0. Trend: flat (+0.0 from 7.1).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 10.5 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | 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).

## Security (1)

- **Specific Labs Domain Security** — TLSv1.3 · HSTS

## Tags

Company, Artificial Intelligence, Datasets, Machine Learning, Benchmarks, AI Agents, Data, Y Combinator

---

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