# YesGraph

**Canonical:** https://apis.io/providers/yesgraph/  
**Website:** https://www.yesgraph.com/  
**APIs profiled:** 0

YesGraph was a San Francisco startup (YC W13) that provided a referral and contact-recommendation API. Its HTTP API and SDKs let mobile and web apps upload a user's address book and receive a machine-learning ranked list of which contacts a user should invite, powering smarter invite and referral flows. Founded by Ivan Kirigin (ex-Dropbox, ex-Facebook), YesGraph worked with companies including Airbnb, Atlassian, Gusto and Hired. In 2017 the team and its social-graph technology joined Lyft to strengthen Lyft's in-house referral program, and the public YesGraph API was deactivated on August 31, 2017. This profile documents the historical developer surface; the API is retired and no longer accepting traffic.

## Kin Score — 7.8 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 7.8).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 10.5 |
| Developer Ergonomics | 7.1 |
| 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).

## Security (1)

- **Yesgraph Domain Security** — no transport/DNS hardening detected

## Tags

Company, Referrals, Recommendations, Contacts, Social Graph, Growth, Machine-Learning, Invitations

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