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Spark Platform

Spark Platform is the MLS data platform built by FBS, a 100% employee-owned company in Fargo, North Dakota that has served the US Multiple Listing Service industry for over 30 years and operates the Flexmls MLS system for more than 120 MLS organizations. Spark sits in the distribution layer of US residential real estate: it takes MLS content out of Flexmls and exposes it to third-party developers through two documented interfaces — the proprietary Spark API (https://sparkapi.com/v1, SparkQL filtering, listings, contacts, saved searches, market statistics, portals/VOW accounts) and a RESO Web API implementation at the /Reso/OData endpoint (https://replication.sparkapi.com/Version/3/Reso/OData/) serving Property, Member, Office, Media, OpenHouse, Room, Unit, GreenVerification, PowerProduction and Lookup resources against the RESO Data Dictionary. FBS is a RESO Certified technology provider (Unique Organization Identifier T00000052, status "Certified Current") and appears as the certifying provider on RESO Web API Core 2.0.0 and Data Dictionary 1.7 / 2.0 endorsements for 138 MLS organizations plus one commercial board in the public RESO organizations feed; FBS itself additionally holds RESO webhooks 1.0.0 and RESO Common Format 2.0 endorsements. The API posture must be stated honestly: the documentation is genuinely public and unusually complete, developer registration is a free public form, and the endpoints are live — but they are not open. Every probed data endpoint, including the OData $metadata document, returns HTTP 401 "Invalid API key and/or request signed improperly" anonymously. Real data requires a Developer Agreement with FBS, an MLS-approved data plan purchased through the Spark Datamart under an IDX, VOW or Private role, and a per-MLS fee. Certification here is real and verifiable; reachability is licensed. Home market is the United States.

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 Spark Platform the way a machine reads it — 9 machine-readable artifacts across 3 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 — Spark Platform scores 44.6/100 (thin), with a separate agent-readiness read of 40/100 (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 — 44.6/100 · thin
Contract Quality 5.7 / 25
Developer Ergonomics 12.6 / 20
Commercial Clarity 10.5 / 20
Operational Transparency 5.8 / 13
Governance 0.0 / 12
Discoverability 10.0 / 10
Agent readiness — 40/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
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 7 / 7
Typed Event Surface 6 / 6
Agent Skills 0 / 5
Well-Known Catalog 4 / 4
Consent & Bot Identity 0 / 3

How we profile Spark Platform

Each block below is one kind of artifact we hold for Spark Platform. 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 3

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.

Spark API

FBS's proprietary REST API over Flexmls MLS content. Documented services include Listings (plus photos, documents, floor plans, videos, virtual tours, open houses, rooms, units,...

Spark RESO Web API

Spark's implementation of the RESO Web API, exposed as an OData service at the /Reso/OData endpoint and serving data shaped by the RESO Data Dictionary. Version 3 is the recomme...

Spark Webhooks

Outbound webhook delivery from the Spark platform. When a Property, Member or Office record changes in an upstream MLS, Spark POSTs a RESO Web API Entity Event payload over HTTP...

Postman Collections 1

A runnable collection turns the contract into something a developer can execute in seconds. We profile them because the fastest way to trust an API is to make a real call against it.

Ready-to-run Postman collections for exercising this provider's APIs.

Rate Limits 1

Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.

Documented rate limits and quota policies.

Spark Platform Rate Limits

4 limits

RATE LIMITS

Event Specifications 1

Not every API is request/response. AsyncAPI describes the event-driven and streaming side — the webhooks and channels — so the asynchronous half of the interface is documented the same way the synchronous half is.

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Security Posture 2

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.

Spark Platform Authentication

http-bearer/oauth2/openIdConnect/saml/apiKey-signed · 4 schemes

SECURITY

Spark Platform Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Scopes 1

OAuth scopes are the vocabulary of least-privilege access. Profiling them shows exactly what an integration — or an agent acting on a user's behalf — is allowed to do.

OAuth scopes governing access to this provider's APIs.

Spark Platform Scopes

7 scopes · authorizationCode

7 scopes

SCOPES

Resources

Every other property we hold for Spark Platform — 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.

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

Operate 2

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 3

The organization behind the API

Other 2

Properties that don't map to a standard resource type

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