API v1.0 Live

The Grounding
Truth Layer
for AI Agents.

Stop your AI from guessing. Feed your agents verified, real-time UK corporate intelligence via a single, low-latency API. Eliminate hallucination. Stop the slop.

Read the Docs $ curl data.zint.io

bash — 80x24

➜ ~ curl -X POST https://data.zint.io/api/v1/context/accounts \
  -H "Authorization: Bearer ZINT_KEY" \
  -H "Content-Type: application/json" \
  -d '{"company_number":"09876543","sections":["principal_risks_and_uncertainties"]}'

LLMs are creative.
Financial data shouldn't be.

General-purpose models operate on probability, often hallucinating revenue figures, inventing directors, or misinterpreting solvency. When building autonomous agents for CRM, Trading, or Risk, 'close enough' isn't good enough.

You don't need another generative layer; you need a deterministic truth layer.

The Zint API Infrastructure

Three pillars of truth for your agentic architecture.

/data

The Foundation.

Instant access to hard facts. Fetch standardized financial reports, director mappings, import-export activity, ESG metrics and much more. Cleaned, codified, and ready for ingestion.

Latency: <200ms Coverage: UK

/search

The Discovery.

Market-wide queries. Allow your agents to query the entire dataset. "Find logistics companies in Yorkshire with >£5m turnover and declining liquidity."

Index: Live Filters: >100

/context

The Context.

Clean evidence for agent reasoning. Pull pre-tagged financial filings, news, and website context so your AI sees the exact passages that matter, not a noisy pile of scraped text.

/accounts /news /website

Coming Soon

/magic

The Insights.

On-Demand intelligence where we do the heavy lifting. Use our reasoning layer to analyse companies and answer business critical questions at scale.

response.json

{
  "company_name": "Acme Logistics Ltd",
  "turnover": 5200000,
  "risk_score": 12,
  "solvency_trend": "DECLINING",
  "magic_insight": "High churn risk detected due to recent director resignations and deferred tax liabilities.",
  "grounding_confidence": 0.99
}

Ingest. Ground. Execute.

Designed for the modern AI stack. Whether you are building in Python, Node, or Go, our schema is strictly typed and documented in OpenAPI 3.0.

Rapid response times
Strict JSON output
Deterministic IDs across registries

Data that Agents can trust.

The engine room of the UK economy, indexed.

Financials

Full P&L, Balance Sheets, Cash Flow history.

People

Directors, Shareholders, Persons of Control.

Signals

Import/Export, Credit Risk, Legal Notices.

ESG

Emissions data, Energy usage, Governance.

The Grounding Truth Layer for AI Agents.

LLMs are creative. Financial data shouldn't be.