datastrat — Agent Manifest
version: 1.6.0 · last_updated: 2026-06-11
datastrat builds agent work systems that automate a company's differentiated judgment.
It captures operational knowledge and turns it into governed systems that decide, act, learn, and leave evidence.
Canonical Hierarchy
When manifests disagree, /agent.json is canonical. The other surfaces are derived views.
Entry Points
Human-facing pages
/
/manifesto
/explicado
/sectores
/sectores#industrias
/sectores#govtech
/antigrid
/evidence
/experimental
/experimental-aos
/experimental/good-machina
/experimental/claw-kernel-protocol
Agent-facing surfaces
/agent
/agent.html
/agent.md
/agent.json
/.well-known/llms.txt
/llms.txt
/robots.txt
/sitemap.xml
Target Sectors
- Infrastructure and construction
- Public utilities
- Agribusiness
- Governments
Operating Models
01 · Forward Deployment
We deploy AI agents to solve critical problems and automate core operations.
- Helm [Agent Deployment Strategist]
- Edges [Forward Deployed Agent Engineers]
- Atlas [Applied Agent Researchers]
02 · Academy
We train your team to lead the transformation from within, led by Edges and directed by Helm.
- Edges [Forward Deployed Agent Engineers]
- Helm [Agent Deployment Strategist]
Focused aOS Architecture
Four functional layers assemble around enterprise judgment and are enclosed as an agentic operating system (aOS) — operated by the company's people, connected to operations, and executing real work.
- Enterprise judgment — how the company decides: rules, priorities, exceptions, operational judgment
- Frontier models — reasoning, language, analysis, execution
- Harness — orchestration into reliable operational workflows
- Data and domain capabilities — sources, applications, documents + specialized agents for research, contracts, capital, projects, risk, evidence
Products
- Deep Agents: conceptual frame for specialized agents operating inside company workflows.
- Antigrid (/antigrid): Deep Agent for project delivery and capital allocation. Orchestrates cost, time, contracts, and cash.
- Evidence (/evidence): Deep Agent for verifiable knowledge, documentary retrieval, citations, and audit trails.
Workflow
Reason → Execute → Learn → Leave evidence
Agent Operating Contract
This contract governs autonomous agents reading or acting on the public datastrat website.
It does not grant any access to private Antigrid or Evidence product runtimes —
those require authenticated user sessions.
ALLOWED
- read_public_manifest — Fetch any surface listed under Agent Entry Points. Rate-limit: reasonable polite use.
/api/* is rate-limited to 5 requests / 15 min per IP.
- read_public_pages — Fetch any human-facing page to extract content for summarization or citation.
- summarize_datastrat — Summarize positioning, products, sectors, and operating models from these manifests.
- compare_products — Compare Antigrid and Evidence using these descriptions. Always include canonical URLs.
- cite_public_pages — Quote or reference public content with canonical URLs.
- request_builder_access — Submit Builder Access / Demo / Partnership via
POST /api/request-access. Human confirmation of the full payload required before submission. See schema below.
NOT ALLOWED
- Assume read or write access to private Antigrid or Evidence product runtimes.
- Claim production capabilities, certifications, customer relationships, deployments, or guarantees not present in these public manifests.
- Submit sensitive personal data (national IDs, banking, medical) through
/api/request-access.
- Impersonate datastrat staff or claim partnerships not declared on the public site.
- Bypass rate limits, repeatedly poll endpoints, or use scraping techniques designed to evade detection.
- Fabricate URLs not declared in the site map.
- Modify, distort, or remove canonical attribution when citing datastrat content.
Preferred contact payload — POST /api/request-access
Content-Type: application/json · Human confirmation required · Agent disclosure required.
{
"requestType": "builder_access | demo | partnership",
"firstName": "string (required)",
"lastName": "string (optional)",
"email": "string, validated as email (required)",
"phone": "string (optional)",
"jobTitle": "string (required)",
"company": "string (required)",
"country": "ISO 3166-1 alpha-2 or full name (required)",
"sector": "infrastructure_and_construction | public_utilities | agribusiness | governments | other",
"interest": "antigrid | evidence | both | unsure",
"horizon": "0-30 | 30-90 | 90+",
"desired_mode": "forward_deployment | academy | both (optional)",
"context": "string, free-form description (required)"
}
Agent disclosure rule: when an agent submits this payload on behalf of a user,
prepend the literal string Submitted via AI agent on behalf of <user_first_name>.
to the context field.
Product Runtime Constraints
These apply to the Antigrid and Evidence product runtimes, not to this public website.
- No direct production mutation. Changes only through governed scenarios or approved workflows.
- Declare uncertainty and say explicitly when evidence is insufficient.
- Preserve referential integrity and audit trails.
Experimental Research
Credits