Blobr
Blobr is an AI-powered Google Ads management platform that deploys specialized AI agents to automate campaign optimization, keyword management, ad copy improvement, and budget allocation. Originally founded as an API monetization and portal platform, Blobr has evolved into an AI teammate for Google Ads that helps agencies and advertisers automate the bulk of daily campaign management tasks. The platform features 50+ specialized AI agents that analyze accounts, generate recommendations, and implement approved changes directly to Google Ads.
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 Blobr the way a machine reads it — 27 machine-readable artifacts across 1 API, 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 — Blobr scores 49.0/100 (developing), with a separate agent-readiness read of 7/100 (human only). 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 Blobr
Each block below is one kind of artifact we hold for Blobr. 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 1
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.
Blobr Google Ads AI Platform
AI-powered Google Ads management platform providing automated campaign analysis, optimization recommendations, and direct implementation via 50+ specialized AI agents. Supports ...
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.
Blobr 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.
Blobr 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.
Blobr Finops
FINOPSFeatures 6
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
Notable capabilities this provider offers.
50+ Specialized AI Agents
Fifty-plus AI agents each specialized for specific Google Ads optimization tasks including campaign creation, keyword discovery, and ad copy improvement.
Campaign Analysis and Monitoring
Continuous monitoring of campaigns, ad groups, keywords, and audiences to identify high-performing elements, budget waste, and account changes.
Review-and-Edit Workflow
All AI recommendations pass through a review-and-edit stage where users can review, modify, and selectively approve changes before pushing to Google Ads.
Custom Rules and Constraints
Users can set brand voice guidelines, naming conventions, bid thresholds, and other custom rules that govern AI agent behavior.
Agency Multi-Account Management
Agencies can connect and manage multiple Google Ads accounts, enabling automation at scale across entire client portfolios.
Scheduling Control
Flexible scheduling for AI agent runs: daily, weekly, or monthly cycles aligned to account management cadence.
Semantic 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.
Blobr Context
JSON-LDSpectral Rules 2
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.
Blobr API Rules
SPECTRALBlobr API Rules
SPECTRALJSON Schema 2
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.
Blobr Campaign
JSON SCHEMABlobr AI Recommendation
JSON SCHEMAJSON Structure 2
JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.
JSON Structure definitions describing this provider's data shapes.
Blobr Campaign Structure
JSON STRUCTUREBlobr Recommendation Structure
JSON STRUCTUREExamples 2
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.
Blobr Campaign Example
EXAMPLEBlobr Recommendation Example
EXAMPLESecurity Posture 1
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.
Use Cases 5
What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.
What developers build with this provider.
Agency Account Automation
Agencies automate 80% of daily Google Ads management tasks, enabling account managers to handle more clients without expanding headcount.
Campaign Performance Optimization
Advertisers receive prioritized weekly recommendations to improve campaign performance based on historical data and AI analysis.
Keyword Expansion
AI agents discover new keyword opportunities and traffic expansion areas aligned with campaign goals and business context.
Negative Keyword Management
Automated identification and curation of negative keywords to reduce budget waste from irrelevant search traffic.
Ad Copy Improvement
AI agents generate and test improved ad copy variations for relevance, quality score, and landing page alignment.
Integrations 2
Pre-built integrations with other platforms tell you where this provider already fits in a stack.
Pre-built integrations with other platforms and tools.
Google Ads
Native Google Ads integration via one-click connection, enabling direct reading and writing of campaign data, bids, keywords, and ad copy.
Google Ads API
Blobr uses the Google Ads API as the underlying integration mechanism for accessing and managing advertiser account data.
Resources
Every other property we hold for Blobr — 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.
Get Started 2
Portal, sign-up, and the first successful call
Design & Contract 2
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 1
Authentication, authorization, and security posture
Commercial 3
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/blobr · machine-readable index on apis.io