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Eder Labs website screenshot

Eder Labs

Eder Labs builds infrastructure for using personal data in safer, more human ways. Its current focus is Persona, an open-source (MIT) user-memory system for AI agents that turns a person's digital footprint into a Graph-Vector hybrid personal knowledge graph (Neo4j graph plus vector embeddings) and answers natural-language RAG queries or returns structured insights over that memory. Eder Labs also develops Fluid, a platform for exchanging sensitive intelligence and running data science inside secure enclaves without compromising trust. Persona ships as a self-hosted FastAPI service with a small REST API for creating users, ingesting content, and querying memory. Eder Labs is backed by Accel.

agent aware

Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.

Kin Score

API Evangelist profiles Eder Labs the way a machine reads it — 6 machine-readable artifacts across 4 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.

Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Eder Labs scores 33.2/100 (thin), with a separate agent-readiness read of 37/100 (agent aware). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 33.2/100 · thin
Contract Quality 13.5 / 25
Developer Ergonomics 6.1 / 20
Commercial Clarity 4.2 / 20
Operational Transparency 0.7 / 13
Governance 0.0 / 12
Discoverability 8.8 / 10
Agent readiness — 37/100 · agent aware
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 5 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile Eder Labs

Each block below is one kind of artifact we hold for Eder Labs. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

APIs 4

Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.

Individual APIs this provider publishes, each with its own machine-readable definition.

Eder Labs Ingestion API

Getting content into a user's memory

Eder Labs Meta API

Service metadata

Eder Labs Query API

Retrieving memory via RAG and structured insights

Eder Labs Users API

User (memory namespace) lifecycle

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Eder Labs Domain Security

TLSv1.3 · HSTS

SECURITY

Agentic Access 1

An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.

Recommended x-agentic-access execution contracts for AI agents.

Eder Labs Agentic Access

7 operations · 6 acting

7 operations · 6 acting

AGENTIC

Resources

Every other property we hold for Eder Labs — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

Get Started 1

Portal, sign-up, and the first successful call

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 1

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Commercial 2

Pricing, plans, and the legal terms of use

Company 1

The organization behind the API

← All providers · Data indexed from github.com/api-evangelist/eder-labs · machine-readable index on apis.io