REST or GraphQL, picked for the consumer
REST when partners and mobile clients call it. GraphQL when a known team needs flexible reads. OpenAPI or SDL is the source of truth; SDKs, docs, and mocks generate from it.
Connect every system your business runs on.
REST, GraphQL, webhooks, and MCP servers — documented, versioned, and rate-limited. Plus integrations into the SaaS you already pay for, and the tool layer your AI agents call.
What we build
Contracts first. Code second.
Every interface starts as a spec your consumers can read. The server, SDKs, docs, and agent tools come from it.
Versioned
Deprecation headers, sunset dates, and migration guides. Consumers get notice before anything breaks.
Rate-limited at the edge
Per key, per tier, per region. One noisy client can't take the API down for everyone else.
MCP servers for your AI agents
Expose internal systems to AI agents through the Model Context Protocol. Each tool gets a typed schema and a scoped token. Every call lands in an audit log, and write actions can require a human to approve.
Webhooks done right
HMAC-signed payloads, retries with exponential backoff, and a dead-letter queue. A delivery log your customers can read themselves.
SaaS integrations
Native adapters for Salesforce, HubSpot, Stripe, Slack, and your ledger where you need depth. n8n or an iPaaS where a light sync is enough.
The discipline
Run every API like a product.
An API without versioning, docs, and monitoring is a support queue waiting to happen. We ship each endpoint with a spec, an SLO, and a deprecation policy. Consumers find out about changes from a changelog, not from a broken integration.
- Semantic versioning with a written sunset policy — 12 months' notice by default.
- Availability and p95 latency SLOs per endpoint, with alerts on error-budget burn.
- A sandbox environment so consumers test against the real contract before production.
- Docs, SDKs, and the changelog ship in the same pull request as the change.
APIs for agents
Give AI agents a front door, not your database.
Agents need tools, not credentials. We build MCP servers that wrap your existing APIs in typed tools, each with its own scope. Your security team reviews one surface instead of every agent that wants access.
- Read and write tools split, with writes behind per-user OAuth scopes.
- Every tool call logged with caller, arguments, result, and latency.
- Human approval for actions over thresholds you set — refunds, deletes, outbound messages.
- Rate limits and a kill-switch per agent client, separate from human API keys.
v1
Spec, docs, SDKs, and rate limits ship with the first version
12 mo
Default notice before a breaking change
Every call
MCP tool calls logged with caller, scope, and result
HMAC
Signed webhooks with retries and a dead-letter queue
Our support agent got refund access through one MCP server with scoped tools and an approval step. Security signed off on a single review.
Questions
What buyers ask us first.
REST, GraphQL, or MCP — which do we need?
It depends on who calls it. REST suits partners and public consumers, GraphQL suits your own front ends, and MCP suits AI agents. Many teams need two of the three over the same core.
Can you build on top of our existing API?
Yes. An MCP server or a public API usually wraps services you already run. We add the contract, auth, limits, and logging around them instead of rewriting the backend.
How do you keep agent access safe?
Each tool has its own scope, writes need a user-level token, and risky actions wait for a human to approve. Every call is logged, and each agent client can be cut off on its own.
Who owns the APIs and integrations?
You do. Specs, code, and credentials live in your repository and your secret store, and we hand over runbooks for each integration.
How is it priced?
A fixed scope for a defined API or integration set, or a monthly rate for ongoing platform work. You get a written estimate after discovery.
Ready when you are
Tell us what needs to talk to what.
A 30-minute call. We'll sketch the contract with you before we hang up.