Open Source · Apache 2.0

Your AI agents deserve
better than REST

CogniMesh is the governed, observable data layer between AI agents and your data platform. Discovery, lineage, freshness, and audit — out of the box.

12/12
System Properties
<10ms
Query Latency
12 lines
Per New Use Case

What breaks when
agents scale

REST APIs were built for apps, not agents. Here are 8 things that go wrong when AI agents become your primary data consumers.

🔍

No Discovery

Agents don't know what questions your data platform can answer. They guess endpoints, get 404s, waste tokens.

🔗

No Lineage

A response says "health_status: at_risk" but nobody can trace where that came from, which tables, which transforms.

📊

No Audit Trail

Who asked what? How often? At what cost? REST gives you access logs, not business intelligence about data consumption.

⚠️

Stale Data, Silent Failures

Gold tables go stale. REST serves them anyway. Agents make decisions on data that's hours or days old.

💥

Schema Drift Breaks Everything

A Silver column gets renamed. Every downstream Gold table and API endpoint breaks. 500 errors. Agents crash.

🚫

404 Is Not an Answer

An agent asks a question the API doesn't cover. REST returns 404. No fallback, no explanation, no path forward.

🙋

Gold Table Sprawl

Every new use case = new endpoint + new Gold table + new SQL + new tests. Teams drown in boilerplate.

👀

No Impact Visibility

"Can I rename this column?" Nobody knows what downstream views, APIs, or agents will break. So nothing changes.

Governed data serving
for AI agents

Register use cases as JSON. CogniMesh handles discovery, routing, lineage, freshness, audit, and governance automatically.

💡

Discovery API

Agents ask "what can you answer?" and get a typed capability catalog. No guessing, no wasted tokens.

Tiered Query Routing

Known question? Serve from Gold in sub-10ms. Unknown? Compose from Silver. Impossible? Explain why — never a bare 404.

🔗

Column-Level Lineage

Every cell in every response traces back to its source table and column. Full provenance, automatic.

📊

Full Audit Trail

Every query logged: agent_id, use case, timestamp, cost, latency, tier. Per-agent cost attribution out of the box.

Freshness Awareness

Every response includes data age. Stale data is flagged, not silently served. Smart refresh rebuilds only what's needed.

🛡

Schema Drift Isolation

Gold layer absorbs Silver changes. Agents never see a 500 from a renamed column. Zero downtime.

🔬

Dependency Intelligence

Before changing anything, ask "what breaks?" Full impact analysis, provenance queries, what-if scenarios.

Approval Workflows

Nothing changes in Gold without human approval. Governance built in, not bolted on.

REST vs. CogniMesh

A side-by-side look at what changes when you add a governed data layer.

What You Have Today (REST) What CogniMesh Gives You
Agents guess endpoints, get 404s Agents discover capabilities automatically
No idea where numbers come from Column-level lineage on every response
Access logs, no business insight Full audit: who, what, cost, tier
Stale data served silently Freshness-aware with smart refresh
Schema change = broken APIs Gold isolates agents from drift
404 for unsupported questions Tiered fallback: compose or explain
New UC = days of boilerplate New UC = 12 lines of JSON
"Can I change this?" = nobody knows Impact analysis before any change

Every question gets the
right answer

Three tiers of query resolution. No question goes unanswered. No token goes wasted.

Agent sends query
◆ Match against registered use cases ◆
Exact Match

T0 — Gold

Pre-computed, pre-governed. Instant answers from materialized Gold tables.

< 10ms
Composable

T2 — Silver

No Gold table exists, but the answer can be composed from Silver metadata on the fly.

~100ms
Not Possible

T3 — Explain

The question can't be answered. CogniMesh explains why and suggests alternatives.

Graceful

Proven, not promised

Real Postgres · 20 use cases · 200K orders · Production schema
12/12
System properties satisfied
vs 0/12 for REST
65%
Fewer Gold tables needed
7 vs 20 via consolidation
85%
Less code per use case
12 lines vs 78 lines
<10ms
T0 query latency
Pre-computed Gold path

From JSON to governed data
in three steps

No boilerplate. No manual wiring. Define what agents need, CogniMesh builds the rest.

1

Register a Use Case

Define the business question as a simple JSON object. Specify the entity, filters, and fields your agent needs.

2

System Derives Everything

CogniMesh auto-generates Gold tables, column-level lineage, freshness rules, and approval workflows.

3

Agents Query with Governance

Agents discover capabilities, get tiered responses, full provenance, and freshness metadata on every call.

use_case.json — 12 lines, full governance
{
  "uc_id": "orders_at_risk",
  "question": "Which orders are at risk of delay?",
  "entity": "orders",
  "filters": {
    "risk_level": ["high", "critical"]
  },
  "fields": [
    "order_id", "customer",
    "risk_level", "days_overdue"
  ],
  "freshness": "1h"
}
// That's it. Gold table, lineage, audit — all automatic.

Built for data teams
who serve AI agents

Stop building one-off REST endpoints. Start governing how agents consume your data.