AIGPDATA / AGENT INFRASTRUCTURE

PRODUCT PREVIEW / SAMPLE MODE

AI Data Intelligence Demo

Raw information → normalized schema → reusable, agent-ready data.

Sample Product Preview. No live Claude API call.
Extraction and normalization run deterministically in your browser. Summaries, entities, facts, and tags are clearly prepared sample enrichment—not live AI inference.

See the pipeline, not a chatbot.

Choose a public dataset or an authored technical document, then select Analyze sample. Inspect the resulting schema, illustrative API response, and agent context.

Sample Input

Source reference
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Processed Intelligence

Choose a sample, then select Analyze sample.

HOW THIS PREVIEW WORKS

From source records to an explicit contract.

  1. 01Data sources
  2. 02AIGP ingestion
  3. 03Normalization
  4. 04AI intelligence (prepared sample)
  5. 05Structured data
  6. 06API / MCP / agents

Raw inputs are extracted into fields and normalized into an explicit schema, including source provenance, timestamps, types, and units where applicable. Prepared enrichment adds a summary, entities, key facts, and tags. The output can then be inspected as JSON, an illustrative API contract, or agent-ready context.

Claude API integration is planned as the reasoning layer for document understanding, extraction, reasoning, summarization, and agentic workflows. It is not enabled in this public sample preview.

The USGS dataset is a fixed snapshot of actual public records, not current monitoring or customer information. The technical document is an AIGP-authored example of planned architecture. No private uploads, customer data, model confidence metrics, external agent calls, or production API availability are claimed.

Discuss a data workflow with the founder →