Precog
Precog is an enterprise AI platform that acts as a "context engine" — turning fragmented, context-stripped data from SaaS applications and databases into live semantic layers that business users can query in natural language through AI assistants like Claude and ChatGPT. Its Intelligent Ingest builds no-code ETL pipelines from any business application into a data warehouse, detecting data relationships automatically and injecting business logic, definitions and relationships during ingestion, while its AI Assistants layer adds source tracing and SQL visibility for trustworthy answers. Precog exposes a public HTTP REST API (sources, destinations, pipelines, datasets, semantic-model generation) and an OAuth-secured Model Context Protocol (MCP) server, and was surfaced through the Techstars portfolio into the API Evangelist network.
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 Precog the way a machine reads it — 20 machine-readable artifacts across 12 APIs, 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 — Precog scores 49.1/100 (developing), with a separate agent-readiness read of 72/100 (agent native). 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 Precog
Each block below is one kind of artifact we hold for Precog. 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 12
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.
Precog Admin API
The Admin API from Precog — 4 operation(s) for admin.
Precog Data Model API
The Data Model API from Precog — 1 operation(s) for data model.
Precog Datasets API
The Datasets API from Precog — 1 operation(s) for datasets.
Precog Destinations API
The Destinations API from Precog — 2 operation(s) for destinations.
Precog Issues API
The Issues API from Precog — 4 operation(s) for issues.
Precog Kinds API
The Kinds API from Precog — 3 operation(s) for kinds.
Precog Loads API
The Loads API from Precog — 1 operation(s) for loads.
Precog Log API
The Log API from Precog — 1 operation(s) for log.
Precog Pipelines API
The Pipelines API from Precog — 18 operation(s) for pipelines.
Precog Semantic Model API
The Semantic Model API from Precog — 3 operation(s) for semantic model.
Precog Sources API
The Sources API from Precog — 6 operation(s) for sources.
Precog Stripe API
The Stripe API from Precog — 2 operation(s) for stripe.
Scroll within the panel for all 12 ·
MCP Servers 1
Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.
Model Context Protocol servers that expose these APIs to AI agents.
precog-mcp.yml
MCP SERVERJSON Schema 1
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.
Foundation Semantic Model
JSON SCHEMASecurity Posture 4
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.
Scopes 1
OAuth scopes are the vocabulary of least-privilege access. Profiling them shows exactly what an integration — or an agent acting on a user's behalf — is allowed to do.
OAuth scopes governing access to this provider's APIs.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Resources
Every other property we hold for Precog — 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
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 5
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 4
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 8
Authentication, authorization, and security posture
Scroll within the panel for all 8 ·
Operate 1
Status, limits, changes, and where to get help
Commercial 3
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
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