upspring-ai
Upspring provides live advertising data via MCP, API, and platform, enabling AI models to reason over ad context with reduced token usage. It offers scale grades for spend, traffic, and sales, turning live ads into reasoning‑ready context. About ten times fewer tokens than raw creative are needed, helping marketers and developers integrate advertising insights into AI applications.
upspring-ai publishes 4 API contracts indexed on the APIs.io network, including Ads API, Advertisers API, Docs API, and 1 more. Tagged areas include Advertising, Artificial Intelligence, Data, Marketing, and Platform.
The upspring-ai catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.
upspring-ai’s developer surface includes authentication, support, getting-started guide, documentation, engineering blog, pricing, and 21 more developer resources.
Kin Score
Standards implemented 4
Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.
APIs 4
Individual APIs this provider publishes, each with its own machine-readable definition.
upspring-ai Ads API
The Ads API from upspring-ai — 3 operation(s) for ads.
upspring-ai Advertisers API
The Advertisers API from upspring-ai — 6 operation(s) for advertisers.
upspring-ai Docs API
The Docs API from upspring-ai — 3 operation(s) for docs.
upspring-ai Taxonomy API
The Taxonomy API from upspring-ai — 2 operation(s) for taxonomy.
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
Pricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Upspring Ai Rate Limits
RATE LIMITSSemantic Vocabularies 1
JSON-LD contexts and semantic vocabularies used across these APIs.
Upspring Ai Context
JSON-LDSpectral Rules 1
Spectral governance rulesets for linting and validating these APIs.
upspring-ai API Rules
SPECTRALJSON Schema 6
Standalone JSON Schema definitions for this provider's data models.
AdsListResponse
JSON SCHEMAAdvertiserByDomainResponse
JSON SCHEMAAdvertisersListResponse
JSON SCHEMAPeersResponse
JSON SCHEMARequestAdvertiserResponse
JSON SCHEMASimilarAdsResponse
JSON SCHEMASecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Get Started 2
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 7
Pagination, idempotency, versioning, errors, and events
Scroll for all 7
Access & Security 3
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 4
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 2
Properties that don't map to a standard resource type
Source (apis.yml)
upspring-ai API — frequently asked questions
Does upspring-ai have an API?
Yes. APIs.io lists 4 APIs from upspring-ai, including upspring-ai Ads API, upspring-ai Advertisers API and upspring-ai Docs API, and 1 more.
Is there an OpenAPI specification for the upspring-ai API?
Yes. APIs.io indexes 4 OpenAPI specifications for upspring-ai, each linked for download from this page.
How do I authenticate with the upspring-ai API?
upspring-ai documents its authentication (1 scheme). The details are profiled on APIs.io as Upspring Ai Authentication.
How much does the upspring-ai API cost?
APIs.io lists 4 pricing plans for upspring-ai, with each plan's price, limits and inclusions under Pricing Plans on this page.
Does upspring-ai have an MCP server?
Yes. APIs.io lists 1 MCP server for upspring-ai: Remote MCP server at api.upspring.ai.
Is the upspring-ai API ready for AI agents?
upspring-ai has a Kin Score of 52.5 out of 100 (developing) and an Agent Readiness score of 44.0 (agent-ready), scored by API Evangelist on 2026-11-02.
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.