Stop Rebuilding the
Same Integration Glue.
DataGrout is the infrastructure layer your agents have been missing — production-grade auth, enterprise API coverage, semantic tool discovery, and multi-step planning. Ship in hours, not weeks.
The Infrastructure Tax on Every Agent You Build
The interesting part of building agents is the reasoning and the use cases. The part that kills momentum is everything that comes before you can get to that.
You're reinventing auth and pagination every project
Every agent you build starts with the same boilerplate: OAuth setup, token refresh, retry logic, pagination handling. It's not interesting work, but it takes most of the time.
Connecting to enterprise APIs is a rabbit hole
Salesforce SOQL, QuickBooks QBOQL, SAP OData — each has its own quirks, authentication flows, and undocumented edge cases. You don't want to become an expert in all of them.
Your useful scripts live outside any reusable system
You've written great integration scripts. They work. But they're in a repo somewhere, not exposed as typed, versioned tools that your agents — or your teammates' agents — can call reliably.
You can't safely connect agents to production
There's no clean path to give an agent real production access. You either lock it out entirely or give it dangerously broad credentials. Neither is a real solution.
What It Looks Like in Practice
from conduit import HubClient
client = HubClient(
server_url="https://your-hub.datagrout.ai",
agent_cert="./certs/agent.pem"
)
# Find tools by goal, not by name
tools = await client.discover(
goal="get overdue invoices from last 30 days",
budget=10
){
"name": "data-grout@1/toolsmith.forge@1",
"arguments": {
"goal": "get leads created this week with email and company",
"integration": "salesforce",
"entity": "Lead",
"save_as_skill": true,
"skill_name": "Recent Leads"
}
}
// Returns: verified SOQL query, skill_id, CTC receiptInfrastructure You Don't Have to Build
Connect to Enterprise APIs Without Becoming an Expert
Hub's MCP Primitives expose 500+ tools per enterprise system — Salesforce, QuickBooks, and more — with auth, pagination, and error handling already built in. Connect once, call forever.
- SOQL, QBOQL, REST, and OData targets handled by the platform
- OAuth2 with auto-refresh, mTLS, and credential vaulting built in
- Conduit SDK (Python, TypeScript, Rust, Elixir, Ruby) handles connection lifecycle
Related Solutions
Turn Your Scripts into Reusable Tools
Toolsmith lets you describe a data retrieval goal in plain English and get a schema-aware, versioned tool — generated against the real integration schema and saved to a shared catalog.
- Natural language goal → verified query tool in one call
- Real field names from SchemaCache — no hallucinated columns
- Saved as a named skill, callable by any agent on your server
Related Solutions
Build Multi-Step Agents Without Death Spirals
Intelligence Gateway turns goals into validated multi-step plans. Cadence detects loops before they burn credits. Warden blocks prompt injection. You get reliability without writing all the safety logic yourself.
- A* planning across tools — finds the optimal route automatically
- Cadence blocks infinite retry loops with consequence-aware thresholds
- Warden's 3-tier prompt injection detection usable as a workflow gate
Give Your Agent Persistent Memory
Logic gives agents facts that survive across sessions — business rules, user preferences, learned constraints — queryable in sub-milliseconds with no hallucination.
- Store and query facts in natural language or structured patterns
- Constraints auto-enforce in every workflow that triggers them
- Multiple agents on the same server share the same fact space
Related Solutions
Pipeline Data Without Re-Running Calls
Every tool call returns a cache_ref you can pass directly to the next tool — data flows server-side through the full pipeline while your agent only sees the final result. Prism bridges incompatible schemas between systems in plain English, generating deterministic sandboxed code that self-heals and caches so repeat calls skip AI entirely.
- cache_ref chaining: filter → group → chart → export without re-fetching data
- Prism.focus bridges Salesforce Leads → QuickBooks Customers automatically — no custom mapping code
- First Prism call generates verified code; every subsequent call runs deterministically at near-zero cost
- Ephemerals: inspect what's currently cached without re-running any original call
Related Solutions
Clean Data Pipelines for Agent Inputs
Agents are only as good as the data they consume. DataGrout's Data tool gives developers a governed pipeline for ingesting, normalizing, and transforming data from disparate sources — so agents get clean, structured inputs without manual ETL.
- Schema mapping and normalization across incompatible source systems
- Prism caches deterministic transforms — repeat calls skip AI entirely, costs drop
- Scoped data access for agents without exposing raw system credentials
Related Solutions
Accelerate Development with Agentic Coding Infrastructure
Give your agents the infrastructure to write, refactor, and debug code safely — agentic code generation governed by the same policy layer your team already trusts. Agents write code; Invariant verifies it; your team ships faster without quality drift.
- Agentic code generation runs within defined tool allowlists — no unconstrained execution
- Invariant checks every AI-generated diff against architectural constraints before merge
- Audit trail covers AI-generated changes the same as human commits
Related Solutions
Catch Code Drift Before It Ships
Agents write code that looks correct but drifts from the stated goal. Invariant uses semantic analysis to verify that what your agent actually changed aligns with what it said it would do — catching scope creep and unintended side effects before they merge.
- invariant.diff_analyzer returns an alignment score against your stated goal
- Surfaces unexpected changes, concerns, and revision suggestions before merge
- Works on Python, TypeScript, Rust, Go, Ruby, Elixir — parsed in milliseconds
Related Solutions
Everything Included Out of the Box
Conduit SDK
Production-grade MCP client in Python, TypeScript, Rust, Elixir, and Ruby. mTLS bootstrap, OAuth 2.1, and semantic tool discovery — all handled for you.
500+ Enterprise Tools
Salesforce (SOQL), QuickBooks (QBOQL), and more — full tool surfaces across core data objects with auth, pagination, and error handling built in.
Toolsmith
Describe a data retrieval goal in plain English. Get a schema-aware, versioned query tool generated from the real integration schema. Build once, reuse forever.
Persistent Agent Memory
Your agents remember facts, constraints, and learned patterns across sessions. Query in natural language with zero hallucination — sub-millisecond lookups.
Discovery & Planning
Tell your agents what you want; Intelligence Gateway turns vague goals into concrete multi-step plans, ranked by cost and policy constraints.
Built-In Security
Warden blocks prompt injection. SemanticGuard enforces side-effect limits, scopes, and allowlists. Every tool call is authenticated, authorized, and logged.
Free Data & Math Tools
Data, Frame, and Math tools have gateway costs waived entirely — no LLM, no AI premium. Filter, sort, group, pivot, and compute numerics thousands of times per hour without touching your credit balance.
Prism & cache_ref
Describe data transformations in English. Prism generates sandboxed verified code that self-heals on failure and caches deterministically — repeat calls skip AI entirely and run at near-zero cost. Chain results server-side with cache_ref.
Conduit SDK
One import. Enterprise infrastructure.
Swap one import and your agent gets mTLS, semantic tool discovery, 1,000+ enterprise tools, and governed execution — in Python, TypeScript, Rust, Elixir, or Ruby. No auth boilerplate. No pagination glue.
Start Building in Minutes.
The infrastructure is ready. Connect your first integration, forge a tool, and ship your agent — without writing auth or pagination glue.
Get Started Free