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Concord Systems website screenshot

Concord Systems

Concord Systems was a Brooklyn, New York stream-processing company founded in December 2014 by Alexander Gallego and Emilio Del Tesoro, and backed by Bloomberg Beta. It built a high-performance distributed stream processing framework written in C++ on top of Apache Mesos, aimed at letting application developers and data scientists write real-time streaming computations ("operators") in the language of their choice — Python, Ruby, Go, Java/Scala, Node.js or Haskell — with Kafka and Amazon Kinesis connectors and a CLI for deploying topologies. Akamai Technologies acquired the company in an all-cash transaction in September 2016 and folded the technology into its IoT edge data platform for real-time messaging and log processing. The company is discontinued: concord.io is parked and the documentation site is gone. Its interface was a Thrift-based operator driver API rather than an HTTP/REST API, so there is no OpenAPI or event surface to catalog; the surviving first-party developer artifacts are the github.com/concord organization and the client libraries still published on PyPI, RubyGems and pkg.go.dev.

human only

Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.

Kin Score

Concord Systems is tracked in the API Evangelist network. This page is the human-readable profile that sits on top of the machine-readable index we maintain at apis.io.

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 — Concord Systems scores 10.0/100 (minimal), with a separate agent-readiness read of 0/100 (human only). 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 — 10.0/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 2.6 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 0.7 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 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 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

Resources

Every other property we hold for Concord Systems — 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.

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Build 4

SDKs, sample code, and the tooling you integrate with

Concord Systems is in the network as a tracked entity. We haven't yet indexed a public API surface for it — when one is published, the artifacts, score, and agent-readiness read will appear here automatically. The source repository is where that profile is built.

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