Feldera

Feldera is an incremental compute engine for running complex SQL data pipelines in real time. Rather than reprocessing entire datasets, it updates materialized views proportionally to the changes in the input data, delivering low-latency, low-cost results for use cases such as fraud detection, feature engineering, change data capture, and real-time dashboards. Feldera is built on the DBSP incremental computation theory and is available as an open-source engine, a self-hosted enterprise platform, and a hosted online sandbox (try.feldera.com). Developers define pipelines as SQL programs with input/output connectors and manage them through the Feldera REST API, a Python client, and the fda CLI. Backed by Costanoa Ventures.

Feldera publishes 6 API contracts indexed on the APIs.io network, including Input Connectors API, Metrics & Debugging API, Output Connectors API, and 3 more. Tagged areas include Company, Data Infrastructure, Streaming, SQL, and Incremental View Maintenance.

The Feldera catalog on APIs.io includes 1 Spectral governance ruleset.

Feldera’s developer surface includes documentation, API reference, getting-started guide, authentication, CLI, sandbox, changelog, and 29 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

64.4/100 strong ▬ flat Agent 32/100 agent ready Front door AI 4/6 moderate Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFreemiumSelf serve⚡ Free to try

1 published contract 5 Agent Skills

Company Data Infrastructure Streaming SQLIncremental View MaintenanceReal-Time Analytics Change Data Capture Materialized Views Data Pipeline

Kin Score

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

Composite quality — 64.4/100 · strong

Contract Quality 9.8 / 19

Developer Ergonomics 13.0 / 15

Access Clarity 10.3 / 15

Operational Transparency 4.1 / 10

Contract Governance 2.9 / 9

Discoverability 5.5 / 8

Regulatory Posture 4.4 / 15

Create-or-Update Ergonomics 2.2 / 10

Agent readiness — 32/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 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 0 / 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
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
Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented)

8 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 52.2 — up to +12.0 composite points
Contract Governance scores 31.8 — up to +8.2 composite points
Operational Transparency scores 42.1 — up to +7.5 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/feldera/apis.yml: open an issue on github.com/api-evangelist/feldera 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 →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Data Integration (ELT connectors and data governance)	distribution	19.2 (thin)	-	1
Agent Skills (SKILL.md packages)	distribution	19.2 (thin)	-	1

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 2

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.

Agent Skills

measured — observed by APIs.io (published)

OpenAPI

measured — observed by APIs.io (published)

APIs 6

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

Feldera Input Connectors API

The Input Connectors API from Feldera — 5 operation(s) for input connectors.

Feldera Metrics & Debugging API

The Metrics & Debugging API from Feldera — 15 operation(s) for metrics & debugging.

Feldera Output Connectors API

The Output Connectors API from Feldera — 2 operation(s) for output connectors.

Feldera Pipeline CRUD API

The Pipeline CRUD API from Feldera — 2 operation(s) for pipeline crud.

Feldera Pipeline Lifecycle API

The Pipeline Lifecycle API from Feldera — 20 operation(s) for pipeline lifecycle.

Feldera Platform API

The Platform API from Feldera — 9 operation(s) for platform.

Open Collections 6

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

Feldera Input Connectors API

OPEN COLLECTION

Feldera Input Connectors Metrics & Debugging API

OPEN COLLECTION

Feldera Input Connectors Output Connectors API

OPEN COLLECTION

Feldera Input Connectors Pipeline CRUD API

OPEN COLLECTION

Feldera Input Connectors Pipeline Lifecycle API

OPEN COLLECTION

Feldera Input Connectors Platform API

OPEN COLLECTION

Agent Skills 5

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

deploy-pipeline

AGENT SKILL

feldera-docs

AGENT SKILL

felderize

AGENT SKILL

install-fda

AGENT SKILL

install-feldera

AGENT SKILL

Feldera API pricing

Prices published by Feldera, read 2026-10-28 from www.feldera.com/pricing.

Plan	Price
Open source edition	Incremental computation for free, with an MIT license Includes: Single node, single container; Full SQL support; All connectors; Datasets larger than memory; Suppor
Enterprise edition	Custom pricing: book a demo Includes: Self-hosted in your own Kubernetes clusters, multi-node, SSO/RBAC/OIDC, dedicated support

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Feldera Plans Pricing

2 plans

PLANS

Service Levels 1

Uptime the provider promises or reports, as SLA4OAI. Read from its own pages; APIs.io runs no monitors.

Feldera

SLA

FinOps 1

Cost, billing, and metering signals for API financial operations.

Feldera Finops

FINOPS

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Feldera API Rules

61 rules · 47 errors 11 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.

Feldera Openapi Overlay

2 actions · update · feldera-openapi-original.json

DERIVED

Security Posture 3

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

Feldera Authentication

http · 1 scheme

SECURITY

Feldera Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Feldera Trust Center

SOC 2

SECURITY

Agentic Access 1

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

Feldera Agentic Access

60 operations · 26 acting · 2 human-in-the-loop

60 operations · 26 acting

AGENTIC

Resources

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal

GettingStarted

Sandbox

SignUp

Documentation 3

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

OpenAPI

OpenAPI

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

X-MCPServerCandidate

AgentSkill

LLMsTxt

AgenticAccess

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Conventions

ErrorCatalog

DataModel

Lifecycle

Conformance

Build 5

SDKs, sample code, and the tooling you integrate with

PostmanWorkspace

Packages

SDKs

CLI

GitHubOrganization

GitHubOrganization

Access & Security 4

Authentication, authorization, and security posture

Authentication

Compliance

TrustCenter

DomainSecurity

Operate 4

Status, limits, changes, and where to get help

StatusPage

Deprecation

ChangeLog

Support

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 2

The organization behind the API

Blog

Blog

Website

Website

Other 1

Properties that don't map to a standard resource type

Overlay

Overlay

Source (apis.yml)

aid: feldera
name: Feldera
description: Feldera is an incremental compute engine for running complex SQL data pipelines in real time. Rather than reprocessing
  entire datasets, it updates materialized views proportionally to the changes in the input data, delivering low-latency,
  low-cost results for use cases such as fraud detection, feature engineering, change data capture, and real-time dashboards.
  Feldera is built on the DBSP incremental computation theory and is available as an open-source engine, a self-hosted enterprise
  platform, and a hosted online sandbox (try.feldera.com). Developers define pipelines as SQL programs with input/output connectors
  and manage them through the Feldera REST API, a Python client, and the fda CLI. Backed by Costanoa Ventures.
url: https://raw.githubusercontent.com/api-evangelist/feldera/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- costanoa-ventures
x-tier: profiled
x-tier-reason: enriched
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Freemium · Self-serve signup
  confidence: high
  source:
  - plans
  - authentication
  - security
  - sandbox
  generated: '2026-11-06'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
image: https://cdn.sanity.io/images/nlte859i/production/1c2e10b5e5fe2946c6c16f7b4a0790214f186c81-1280x640.png
x-docs-platform: docusaurus
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-03
x-docs-hosting: github-pages
tags:
- Company
- Data Infrastructure
- Streaming
- SQL
- Incremental View Maintenance
- Real-Time Analytics
- Change Data Capture
- Materialized Views
- Data Pipeline
tags_raw:
- Company
- Data Infrastructure
- Streaming
- SQL
- Incremental View Maintenance
- Real-Time Analytics
- Change Data Capture
- Materialized Views
- Data Pipelines
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
apis:
- aid: feldera:feldera-input-connectors-api
  name: Feldera Input Connectors API
  description: The Input Connectors API from Feldera — 5 operation(s) for input connectors.
  humanURL: https://docs.feldera.com/api/
  baseURL: https://try.feldera.com
  tags:
  - Input Connectors
  properties:
  - type: OpenAPI
    url: openapi/feldera-input-connectors-api-openapi.yml
  - type: ErrorCatalog
    url: errors/feldera-error-codes.yml
  - type: DataModel
    url: data-model/feldera-data-model.yml
- aid: feldera:feldera-metrics-debugging-api
  name: Feldera Metrics & Debugging API
  description: The Metrics & Debugging API from Feldera — 15 operation(s) for metrics & debugging.
  humanURL: https://docs.feldera.com/api/
  baseURL: https://try.feldera.com
  tags:
  - Metrics & Debugging
  properties:
  - type: OpenAPI
    url: openapi/feldera-metrics-debugging-api-openapi.yml
  - type: ErrorCatalog
    url: errors/feldera-error-codes.yml
  - type: DataModel
    url: data-model/feldera-data-model.yml
- aid: feldera:feldera-output-connectors-api
  name: Feldera Output Connectors API
  description: The Output Connectors API from Feldera — 2 operation(s) for output connectors.
  humanURL: https://docs.feldera.com/api/
  baseURL: https://try.feldera.com
  tags:
  - Output Connectors
  properties:
  - type: OpenAPI
    url: openapi/feldera-output-connectors-api-openapi.yml
  - type: ErrorCatalog
    url: errors/feldera-error-codes.yml
  - type: DataModel
    url: data-model/feldera-data-model.yml
- aid: feldera:feldera-pipeline-crud-api
  name: Feldera Pipeline CRUD API
  description: The Pipeline CRUD API from Feldera — 2 operation(s) for pipeline crud.
  humanURL: https://docs.feldera.com/api/
  baseURL: https://try.feldera.com
  tags:
  - Pipeline CRUD
  properties:
  - type: OpenAPI
    url: openapi/feldera-pipeline-crud-api-openapi.yml
  - type: ErrorCatalog
    url: errors/feldera-error-codes.yml
  - type: DataModel
    url: data-model/feldera-data-model.yml
- aid: feldera:feldera-pipeline-lifecycle-api
  name: Feldera Pipeline Lifecycle API
  description: The Pipeline Lifecycle API from Feldera — 20 operation(s) for pipeline lifecycle.
  humanURL: https://docs.feldera.com/api/
  baseURL: https://try.feldera.com
  tags:
  - Pipeline Lifecycle
  properties:
  - type: OpenAPI
    url: openapi/feldera-pipeline-lifecycle-api-openapi.yml
  - type: ErrorCatalog
    url: errors/feldera-error-codes.yml
  - type: DataModel
    url: data-model/feldera-data-model.yml
- aid: feldera:feldera-platform-api
  name: Feldera Platform API
  description: The Platform API from Feldera — 9 operation(s) for platform.
  humanURL: https://docs.feldera.com/api/
  baseURL: https://try.feldera.com
  tags:
  - Platform
  properties:
  - type: OpenAPI
    url: openapi/feldera-platform-api-openapi.yml
  - type: ErrorCatalog
    url: errors/feldera-error-codes.yml
  - type: DataModel
    url: data-model/feldera-data-model.yml
common:
- type: Plans
  url: plans/feldera-plans-pricing.yml
- type: PostmanWorkspace
  url: https://www.postman.com/kinlaneapi/feldera/overview
- type: DeveloperPortal
  url: https://docs.feldera.com
- type: Documentation
  url: https://docs.feldera.com
- type: APIReference
  url: https://docs.feldera.com/api/
- type: GettingStarted
  url: https://docs.feldera.com/get-started
- type: Authentication
  url: authentication/feldera-authentication.yml
- type: OpenAPI
  url: openapi/_original/feldera-openapi-original.json
- type: Overlay
  url: overlays/feldera-openapi-overlay.yaml
- type: Conventions
  url: conventions/feldera-conventions.yml
- type: ErrorCatalog
  url: errors/feldera-error-codes.yml
- type: DataModel
  url: data-model/feldera-data-model.yml
- type: Packages
  url: packages/feldera-packages.yml
- type: SDKs
  url: packages/feldera-packages.yml
- type: CLI
  url: cli/feldera-cli.yml
- type: X-MCPServerCandidate
  url: mcp/feldera-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: AgentSkill
  url: skills/_index.yml
- type: LLMsTxt
  url: llms/feldera-llms.txt
- type: AgenticAccess
  url: agentic-access/feldera-agentic-access.yml
- type: Sandbox
  url: sandbox/feldera-sandbox.yml
- type: Lifecycle
  url: lifecycle/feldera-lifecycle.yml
- type: StatusPage
  url: https://feldera.statuspage.io
- type: Deprecation
  url: https://docs.feldera.com/changelog
- type: ChangeLog
  url: changelog/feldera-changelog.yml
- type: Conformance
  url: conformance/feldera-conformance.yml
- type: Compliance
  url: https://trust.feldera.com
- type: TrustCenter
  url: security/feldera-trust-center.yml
- type: DomainSecurity
  url: security/feldera-domain-security.yml
- type: Blog
  url: https://www.feldera.com/blog
- type: GitHubOrganization
  url: https://github.com/feldera
- type: Support
  url: https://join.slack.com/t/felderacommunity/shared_invite/zt-3vf3n5dj5-HJuC1DFFY2wE1_AZUyNxqw
- type: Pricing
  url: https://www.feldera.com/pricing
- type: SignUp
  url: https://try.feldera.com/
- type: TermsOfService
  url: https://www.feldera.com/terms
- type: PrivacyPolicy
  url: https://www.feldera.com/privacy
- type: Website
  url: https://www.feldera.com
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

Feldera API — frequently asked questions

Does Feldera have an API?

Yes. APIs.io lists 6 APIs from Feldera, including Feldera Input Connectors API, Feldera Metrics & Debugging API and Feldera Output Connectors API, and 3 more.

Is there an OpenAPI specification for the Feldera API?

Yes. APIs.io indexes 6 OpenAPI specifications for Feldera, each linked for download from this page.

How do I authenticate with the Feldera API?

Feldera uses bearer-token authentication (http · 1 scheme). The details are profiled on APIs.io as Feldera Authentication.

How much does the Feldera API cost?

Feldera publishes its prices; its Open source edition plan is Incremental computation for free, with an MIT license as of 2026-10-28. APIs.io lists 2 pricing plans for Feldera, with each plan's price, limits and inclusions under Pricing on this page.

Is the Feldera API ready for AI agents?

Feldera has a Kin Score of 64.4 out of 100 (strong) and an Agent Readiness score of 32.0 (agent-ready), scored by API Evangelist on 2026-11-06.

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