Felt
Felt is a collaborative mapping platform with a REST API for creating and managing maps, layers, elements, and sharing settings programmatically. The Enterprise-tier REST API and JavaScript SDK enable developers to build custom mapping applications, automate geospatial workflows, embed maps, and integrate with data pipelines using Bearer token authentication against the https://felt.com/api/v2 base URL.
Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.
API Evangelist profiles Felt the way a machine reads it — 31 machine-readable artifacts across 13 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 — Felt scores 59.6/100 (developing), with a separate agent-readiness read of 48/100 (agent ready). 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.
How we profile Felt
Each block below is one kind of artifact we hold for Felt. 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 13
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.
Felt JavaScript SDK
JavaScript SDK for embedding, controlling, and extending Felt maps in external web applications. Supports two integration modes: Extensions (custom code inside Felt) and Embed (...
Felt Python SDK
Official Python client for the Felt REST API providing convenient wrappers for map creation, file and DataFrame uploads, layer styling and refreshing, and element management. Su...
Felt Comments API
Comments bring conversations to mapping. With these APIs, you can export, resolve, and delete map comments and collaboration threads.
Felt Elements API
Elements enable you to annotate maps with custom shapes, text, and markers. With these APIs, you can create, update, and delete map elements.
Felt Embed Tokens API
Embed tokens enable safely sharing your private maps. With these APIs, you can generate secure tokens for embedding maps.
Felt Layer Exports API
With these APIs, you can export data to CSV, GeoJSON, and other formats.
Felt Layer Library API
With these APIs, you can publish your layers to your workspace library.
Felt Layer Uploads API
With these APIs, you can upload your data to create new layers.
Felt Layers API
Layers enable you to visualize, style and interact with your spatial data. With these APIs, you can upload data, manage layer styling, publish and refresh live data layers.
Felt Maps API
Maps are the centerpiece of Felt. With these APIs, you can create, retrieve, update, delete, move, and duplicate maps programmatically.
Felt Projects API
Projects help you organize maps and manage team permissions. With these APIs, you can manage the projects in your workspace.
Felt Sources API
Sources connect your databases to Felt. With these APIs, you can configure data source connections, credentials, and sync settings to create live maps.
Felt Users API
Users represent the people in your workspace. With these APIs, you can retrieve user profile information.
Scroll within the panel for all 13 ·
Pricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Felt Plans Pricing
PLANSRate 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.
Felt Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Felt Finops
FINOPSSemantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Felt Context
JSON-LDSpectral Rules 1
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
Felt API Rules
SPECTRALJSON Schema 7
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
EmbedToken
JSON SCHEMALayer
JSON SCHEMALayerGroup
JSON SCHEMAMap
JSON SCHEMAProject
JSON SCHEMASource
JSON SCHEMAUser
JSON SCHEMAScroll within the panel for all 7 ·
Examples 1
Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.
Example request and response payloads for these APIs.
Felt Api Examples
EXAMPLESecurity Posture 4
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.
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.
Resources
Every other property we hold for Felt — 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 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 2
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 5
The organization behind the API
Other 1
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/felt · machine-readable index on apis.io