Credal
Credal provides an enterprise platform enabling teams to build, govern, and deploy multi‑contextual processing (MCP) servers. It offers curated context, tool integrations, and cost‑to‑accuracy evaluations for workflows, supporting agents that interact with data sources like Salesforce, Snowflake, and Slack. The platform includes an Agent Builder, Agent Registry, and a suite of pre‑built tools, aiming to improve operational efficiency and governance across AI‑driven applications.
Credal is listed with 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Platform, Enterprise, and Automation.
The Credal catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.
Credal’s developer surface includes authentication, documentation, API reference, pricing, engineering blog, getting-started guide, and 19 more developer resources.
Kin Score
APIs 1
Individual APIs this provider publishes, each with its own machine-readable definition.
Credal API
Credal API as documented publicly: 11 operations. Contract generated from the documentation by API Evangelist (2026-10-20); not the provider's own document.
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
Pricing Plans 1
Published pricing tiers and plan structures.
Credal Plans Pricing
PLANSSemantic Vocabularies 1
JSON-LD contexts and semantic vocabularies used across these APIs.
Credal Context
JSON-LDSpectral Rules 1
Spectral governance rulesets for linting and validating these APIs.
Credal API Rules
SPECTRALJSON Schema 6
Standalone JSON Schema definitions for this provider's data models.
PostApiRequest
JSON SCHEMAPostApiResponse
JSON SCHEMAPostApiV0CopilotsSendmessageResponse
JSON SCHEMAPostApiV1Request
JSON SCHEMAPostApiV1Response
JSON SCHEMAPostV1AgentsSendmessageRequest
JSON SCHEMASecurity Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Get Started 1
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 3
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 5
Pagination, idempotency, versioning, errors, and events
Access & Security 5
Authentication, authorization, and security posture
Commercial 4
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 3
Properties that don't map to a standard resource type
Source (apis.yml)
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.