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.

Eder Labs publishes 4 API contracts indexed on the APIs.io network, including Ingestion API, Meta API, Query API, and 1 more. Tagged areas include Company, Cloud Saas, AI Agents, Memory, and Knowledge Graph.

The Eder Labs catalog on APIs.io includes 1 Spectral governance ruleset.

Eder Labs’ developer surface includes documentation, getting-started guide, GitHub presence, support, and 8 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

32.2/100 thin ▬ flat Agent 26/100 agent aware Front door AI 4/6 moderate Heartbeat 78/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 published contract 2 Agent Skills

Company Cloud Saas AI Agents Memory Knowledge Graph Personalization Privacy Open Source Developer Tools RAG

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 32.2/100 · thin

Contract Quality 8.9 / 19

Developer Ergonomics 5.3 / 15

Access Clarity 3.2 / 15

Operational Transparency 0.5 / 10

Contract Governance 1.6 / 9

Discoverability 4.8 / 8

Regulatory Posture 2.8 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 26/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 7 / 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

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document

8 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Access Clarity scores 21.1 — up to +15.8 composite points
Contract Quality scores 47.4 — up to +13.2 composite points
Developer Ergonomics scores 35.1 — up to +13.0 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/eder-labs/apis.yml: open an issue on github.com/api-evangelist/eder-labs to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

OpenAPI

measured — observed by APIs.io (published)

APIs 4

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

Open Collections 4

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Persona Ingestion API

OPEN COLLECTION

Persona Ingestion Meta API

OPEN COLLECTION

Persona Ingestion Query API

OPEN COLLECTION

Persona Ingestion Users API

OPEN COLLECTION

Agent Skills 2

Packaged agent skills for driving this provider's APIs from an AI assistant.

Ingest content and recall it with a RAG query

AGENT SKILL

Get structured insights from a user's memory

AGENT SKILL

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Eder Labs API Rules

50 rules · 46 errors 1 warnings 3 info

SPECTRAL

OpenAPI Overlays 1

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Eder Labs Persona Overlay

5 actions · update · eder-labs-persona-openapi.yml

DERIVED

Security Posture 1

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

Eder Labs Domain Security

TLSv1.3 · HSTS

SECURITY

Agentic Access 1

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

Eder Labs Agentic Access

7 operations · 6 acting

AGENTIC

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

X-MCPServerCandidate

X-MCPServerCandidate

LLMsTxt

LLMsTxt

AgentSkill

AgentSkill

Build 1

SDKs, sample code, and the tooling you integrate with

GitHub

GitHub

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 1

The organization behind the API

Website

Website

Other 1

Properties that don't map to a standard resource type

Overlay

Overlay

Source (apis.yml)

aid: eder-labs
deliveryModel:
  model: saas
  license_evidence:
    not_product:
    - saxenauts/persona
  open_source: unknown
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: low
  source:
  - openapi
  - pricing
  - repository-not-product
  generated: '2026-09-25'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  try_now_blocked_by: loopback
  source:
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/eder-labs.png
name: Eder Labs
description: 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.
url: https://raw.githubusercontent.com/api-evangelist/eder-labs/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- accel
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-03
x-docs-hosting: vercel
tags:
- Company
- Cloud Saas
- AI Agents
- Memory
- Knowledge Graph
- Personalization
- Privacy
- Open Source
- Developer Tools
- RAG
tags_raw:
- Company
- Cloud Saas
- AI Agents
- Memory
- Knowledge Graph
- Personalization
- Data Privacy
- Open Source
- Developer Tools
- RAG
- Open-Source
apis:
- aid: eder-labs:eder-labs-ingestion-api
  name: Eder Labs Ingestion API
  description: Getting content into a user's memory
  humanURL: https://docs.buildpersona.ai/
  baseURL: http://localhost:8000/api/v1
  tags:
  - Ingestion
  properties:
  - type: OpenAPI
    url: openapi/eder-labs-ingestion-api-openapi.yml
  - type: Documentation
    url: https://docs.buildpersona.ai/
  - type: APIReference
    url: https://github.com/saxenauts/persona/blob/main/docs/API.md
  - type: Quickstart
    url: https://docs.buildpersona.ai/quickstart
  - type: Conventions
    url: conventions/eder-labs-conventions.yml
  - type: ErrorCatalog
    url: errors/eder-labs-problem-types.yml
  - type: Lifecycle
    url: lifecycle/eder-labs-lifecycle.yml
  - type: Conformance
    url: conformance/eder-labs-conformance.yml
  - type: DataModel
    url: data-model/eder-labs-data-model.yml
  - type: AgenticAccess
    url: agentic-access/eder-labs-agentic-access.yml
- aid: eder-labs:eder-labs-meta-api
  name: Eder Labs Meta API
  description: Service metadata
  humanURL: https://docs.buildpersona.ai/
  baseURL: http://localhost:8000/api/v1
  tags:
  - Meta
  properties:
  - type: OpenAPI
    url: openapi/eder-labs-meta-api-openapi.yml
  - type: Documentation
    url: https://docs.buildpersona.ai/
  - type: APIReference
    url: https://github.com/saxenauts/persona/blob/main/docs/API.md
  - type: Quickstart
    url: https://docs.buildpersona.ai/quickstart
  - type: Conventions
    url: conventions/eder-labs-conventions.yml
  - type: ErrorCatalog
    url: errors/eder-labs-problem-types.yml
  - type: Lifecycle
    url: lifecycle/eder-labs-lifecycle.yml
  - type: Conformance
    url: conformance/eder-labs-conformance.yml
  - type: DataModel
    url: data-model/eder-labs-data-model.yml
  - type: AgenticAccess
    url: agentic-access/eder-labs-agentic-access.yml
- aid: eder-labs:eder-labs-query-api
  name: Eder Labs Query API
  description: Retrieving memory via RAG and structured insights
  humanURL: https://docs.buildpersona.ai/
  baseURL: http://localhost:8000/api/v1
  tags:
  - Query
  properties:
  - type: OpenAPI
    url: openapi/eder-labs-query-api-openapi.yml
  - type: Documentation
    url: https://docs.buildpersona.ai/
  - type: APIReference
    url: https://github.com/saxenauts/persona/blob/main/docs/API.md
  - type: Quickstart
    url: https://docs.buildpersona.ai/quickstart
  - type: Conventions
    url: conventions/eder-labs-conventions.yml
  - type: ErrorCatalog
    url: errors/eder-labs-problem-types.yml
  - type: Lifecycle
    url: lifecycle/eder-labs-lifecycle.yml
  - type: Conformance
    url: conformance/eder-labs-conformance.yml
  - type: DataModel
    url: data-model/eder-labs-data-model.yml
  - type: AgenticAccess
    url: agentic-access/eder-labs-agentic-access.yml
- aid: eder-labs:eder-labs-users-api
  name: Eder Labs Users API
  description: User (memory namespace) lifecycle
  humanURL: https://docs.buildpersona.ai/
  baseURL: http://localhost:8000/api/v1
  tags:
  - User
  tags_raw:
  - Users
  properties:
  - type: OpenAPI
    url: openapi/eder-labs-users-api-openapi.yml
  - type: Documentation
    url: https://docs.buildpersona.ai/
  - type: APIReference
    url: https://github.com/saxenauts/persona/blob/main/docs/API.md
  - type: Quickstart
    url: https://docs.buildpersona.ai/quickstart
  - type: Conventions
    url: conventions/eder-labs-conventions.yml
  - type: ErrorCatalog
    url: errors/eder-labs-problem-types.yml
  - type: Lifecycle
    url: lifecycle/eder-labs-lifecycle.yml
  - type: Conformance
    url: conformance/eder-labs-conformance.yml
  - type: DataModel
    url: data-model/eder-labs-data-model.yml
  - type: AgenticAccess
    url: agentic-access/eder-labs-agentic-access.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: X-MCPServerCandidate
  url: mcp/eder-labs-mcp.yml
  note: 'Renamed from MCPServer 2026-09-03 (roadmap#247): the manifest self-describes as status: candidate — a tool list derived
    from the published API contracts, not an existing server. The scorer already read the manifest and reported mcp_server
    correctly; the MCPServer type was crediting the artifact-type surfaces with a server that does not exist.'
- type: Overlay
  url: overlays/eder-labs-persona-overlay.yaml
- type: Website
  url: https://www.eder.io/
- type: Documentation
  url: https://docs.buildpersona.ai/
- type: GettingStarted
  url: https://docs.buildpersona.ai/quickstart
- type: GitHub
  url: https://github.com/saxenauts/persona
- type: LLMsTxt
  url: llms/eder-labs-llms.txt
- type: Support
  url: https://github.com/saxenauts/persona/issues
- type: TermsOfService
  url: https://www.eder.io/terms
- type: PrivacyPolicy
  url: https://www.eder.io/privacy
- type: AgentSkill
  url: skills/_index.yml
- type: DomainSecurity
  url: security/eder-labs-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

Eder Labs API — frequently asked questions

Does Eder Labs have an API?

Yes. APIs.io lists 4 APIs from Eder Labs, including Eder Labs Ingestion API, Eder Labs Meta API and Eder Labs Query API, and 1 more.

Is there an OpenAPI specification for the Eder Labs API?

Yes. APIs.io indexes 4 OpenAPI specifications for Eder Labs, each linked for download from this page.

Is the Eder Labs API ready for AI agents?

Eder Labs has a Kin Score of 32.2 out of 100 (thin) and an Agent Readiness score of 25.5 (agent-aware), scored by API Evangelist on 2026-11-06.

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