Federating OpenClaw Rating API with Apollo Federation

Why AI Agents Are Turning GraphQL Federation Into a Super‑Power

AI agents are no longer experimental bots; they now act as autonomous data curators, recommendation engines, and real‑time analytics processors. When you combine an AI‑driven rating engine like OpenClaw with federated user‑profile and analytics services, you unlock a self‑optimizing ecosystem where each request can be enriched on‑the‑fly by intelligent agents.

In this senior‑engineer guide we’ll walk through the complete federation of the OpenClaw Rating API Edge GraphQL gateway on UBOS platform overview, add a UBOS partner program‑ready user profile, and hook an analytics micro‑service that streams AI‑generated insights.

OpenClaw Rating API Edge – The Core GraphQL Gateway

The OpenClaw Rating API is a high‑performance GraphQL edge that aggregates rating data from multiple sources (e.g., product reviews, social sentiment, and AI‑scored relevance). It already exposes a Rating type with fields such as score, source, and timestamp.

Key characteristics:

• Built on Web app editor on UBOS for rapid iteration.
• Edge‑optimized with caching layers to serve sub‑millisecond responses.
• Designed for extensibility via GraphQL directives and custom resolvers.

Apollo Federation 101

Apollo Federation lets you compose multiple GraphQL services into a single, cohesive API without monolithic schema stitching. Each service publishes a @key directive that identifies the entity it owns, and the gateway resolves cross‑service references automatically.

Core concepts you’ll use:

1. Federated Service – A standalone GraphQL server that adds @key and @provides directives.
2. Gateway – The entry point that composes the sub‑schemas into a unified schema.
3. Entity Resolution – The process of fetching a full entity from the owning service when referenced elsewhere.

Designing the User Profile & Analytics Services

Both services will be built as independent Node.js GraphQL servers, each exposing a federated schema.

User Profile Service

This service stores user metadata (name, email, preferences) and must be reachable from the rating API to personalize scores.

type User @key(fields: "id") {
  id: ID!
  name: String
  email: String
  preferences: Preferences
}

type Preferences {
  language: String
  theme: String
}
    

Analytics Service

The analytics micro‑service aggregates rating events and feeds AI agents that generate predictive insights.

type RatingEvent @key(fields: "eventId") {
  eventId: ID!
  ratingId: ID!
  userId: ID!
  createdAt: DateTime!
  metadata: JSON
}

type Insight {
  ratingId: ID!
  prediction: Float!
  confidence: Float!
}
    

Step‑by‑Step Federation Implementation

5.1 Schema Stitching vs. Federation

While schema stitching merges schemas at runtime, Apollo Federation keeps services decoupled, allowing independent deployment and versioning. For OpenClaw’s high‑throughput edge, federation is the optimal choice.

5.2 Service Definitions

Each service is a standard Apollo Server instance with the @apollo/federation package.

import { ApolloServer } from '@apollo/server';
import { buildSubgraphSchema } from '@apollo/subgraph';
import { typeDefs, resolvers } from './schema';

const server = new ApolloServer({
  schema: buildSubgraphSchema({ typeDefs, resolvers })
});

server.listen({ port: 4001 }).then(({ url }) => {
  console.log(`User Profile Service ready at ${url}`);
});
      

import { ApolloServer } from '@apollo/server';
import { buildSubgraphSchema } from '@apollo/subgraph';
import { typeDefs, resolvers } from './analytics-schema';

const server = new ApolloServer({
  schema: buildSubgraphSchema({ typeDefs, resolvers })
});

server.listen({ port: 4002 }).then(({ url }) => {
  console.log(`Analytics Service ready at ${url}`);
});
      

5.3 Gateway Configuration

The gateway pulls the SDL from each federated service and composes the final schema.

import { ApolloGateway } from '@apollo/gateway';
import { ApolloServer } from '@apollo/server';

const gateway = new ApolloGateway({
  serviceList: [
    { name: 'rating', url: 'https://api.ubos.tech/openclaw/rating' },
    { name: 'user', url: 'http://localhost:4001' },
    { name: 'analytics', url: 'http://localhost:4002' },
  ],
});

const server = new ApolloServer({
  gateway,
  // Enable schema introspection for dev
  introspection: true,
});

server.listen({ port: 4000 }).then(({ url }) => {
  console.log(`🚀 Federated Gateway ready at ${url}`);
});
      

Notice the serviceList entry for the OpenClaw edge – you can replace the placeholder URL with the actual endpoint once deployed on OpenClaw hosting on UBOS.

Architecture Diagram

The diagram below visualizes the data flow from a client request through the federated gateway to each micro‑service.

Key layers:

• Client Layer – Web, mobile, or AI agents issuing GraphQL queries.
• Gateway Layer – Apollo Federation gateway handling query planning.
• Service Layer – Independent Rating, User Profile, and Analytics services.
• AI Agent Layer – Optional AI marketing agents that consume Insight types for real‑time personalization.

Full Code Reference

All snippets are available in the UBOS templates for quick start. Below is a consolidated view for copy‑paste convenience.

Unified Rating Service Extension

extend type Rating @key(fields: "id") {
  id: ID! @external
  user: User @provides(fields: "id")
  analytics: Insight @requires(fields: "id")
}
    

Resolver Example for Cross‑Service Field

const resolvers = {
  Rating: {
    user(rating, args, { dataSources }) {
      return dataSources.userAPI.getUserById(rating.userId);
    },
    analytics(rating, args, { dataSources }) {
      return dataSources.analyticsAPI.getInsightByRatingId(rating.id);
    },
  },
};
    

Testing & Debugging the Federated GraphQL Mesh

Use Apollo Studio or graphql-cli to introspect the composed schema.

# Install GraphQL CLI
npm i -g @graphql-cli/cli

# Fetch the federated schema
graphql get-schema --endpoint http://localhost:4000
    

Common pitfalls:

• Missing @key on the owning type – the gateway cannot resolve references.
• Version mismatches between @apollo/subgraph and @apollo/gateway. Keep both at the same major version.
• Network latency between services – consider UBOS’s Workflow automation studio to pre‑warm caches.

Deploying the Federation on UBOS

UBOS provides a container‑native runtime that abstracts away Kubernetes complexity. Follow these steps:

1. Push each service Docker image to the UBOS registry.
2. Create a ubos.yaml manifest for each micro‑service, referencing the port and environment variables.
3. Define a gateway service that depends on the other two services.
4. Enable UBOS pricing plans that include edge caching for the rating API.

Example ubos.yaml for the gateway:

name: openclaw-federated-gateway
image: registry.ubos.tech/openclaw-gateway:latest
ports:
  - 4000:4000
environment:
  RATING_SERVICE_URL: https://api.ubos.tech/openclaw/rating
  USER_SERVICE_URL: http://user-profile:4001
  ANALYTICS_SERVICE_URL: http://analytics:4002
depends_on:
  - user-profile
  - analytics
    

After applying the manifest with ubos apply -f ubos.yaml, the gateway becomes reachable at https://gateway.ubos.tech/graphql.

Conclusion & Next Steps

By federating OpenClaw with user profile and analytics services, you gain:

• Modular codebases that can evolve independently.
• AI‑enhanced personalization via real‑time insights.
• Scalable edge performance backed by UBOS’s serverless infrastructure.

Next actions for senior engineers:

1. Implement authentication middleware (e.g., JWT) across all services.
2. Integrate OpenAI ChatGPT integration to let AI agents query the gateway directly.
3. Set up CI/CD pipelines using UBOS’s Workflow automation studio for zero‑downtime deployments.

Ready to see the federation in action? Deploy the example repo, fire a query like the one below, and watch the AI agent enrich the response with user preferences and predictive insights.

query GetRatingWithContext($id: ID!) {
  rating(id: $id) {
    score
    user {
      name
      preferences {
        language
      }
    }
    analytics {
      prediction
      confidence
    }
  }
}
    

Happy federating!