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DFlow

DFlow is a trading protocol and aggregator for spot trading natively on Solana, offering a Trading API that powers tens of billions of dollars in transacted value for traders, applications, and financial institutions. It provides imperative and declarative (intent-based) swaps, JIT routing across liquidity venues, MEV / sandwich protection, priority-fee and slippage controls, builder platform-fee monetization (platformFeeBps), sponsored (gasless) swaps, WebSocket market-data streams (quotes, order-book depth, priority fees), and prediction-market initialization. DFlow is agent-native: a single-binary agent CLI with an encrypted local wallet, published Claude Code Skills, and a hosted documentation MCP server. Authentication is via an x-api-key header; REST responses can be cryptographically signed with ed25519 per RFC 9421. Backed by Multicoin Capital.

agent native

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 DFlow the way a machine reads it — 12 machine-readable artifacts across 7 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 — DFlow scores 44.4/100 (thin), with a separate agent-readiness read of 71/100 (agent native). 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 — 44.4/100 · thin
Contract Quality 15.4 / 25
Developer Ergonomics 15.7 / 20
Commercial Clarity 2.6 / 20
Operational Transparency 0.7 / 13
Governance 0.0 / 12
Discoverability 10.0 / 10
Agent readiness — 71/100 · agent native
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 6 / 6
Agent Skills 5 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile DFlow

Each block below is one kind of artifact we hold for DFlow. 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 7

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.

DFlow admin API

The admin API from DFlow — 1 operation(s) for admin.

DFlow intent API

Intent trading endpoints

DFlow order API

Order API endpoints

DFlow prediction_market API

Prediction market endpoints

DFlow swap API

Swap API endpoints

DFlow tokens API

Token endpoints

DFlow venues API

Venue endpoints

Scroll within the panel for all 7 ·

MCP Servers 1

Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.

Model Context Protocol servers that expose these APIs to AI agents.

dflow-mcp.yml

MCP SERVER

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.

DFlow Trading API WebSocket Streams

DERIVED event surface for the DFlow Trading API real-time WebSocket streams. Modeled by API Evangelist from the published DFlow docs (https://pond.dflow.net/resources/trading-ap...

ASYNCAPI

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.

Dflow Authentication

apiKey · 1 scheme

SECURITY

Dflow Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

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.

Dflow Agentic Access

14 operations · 3 acting

14 operations · 3 acting

AGENTIC

Resources

Every other property we hold for DFlow — 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

Build 3

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Company 1

The organization behind the API

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