AI Cell Enrichment Workflow API

Copying rows into a chat interface doesn’t scale, and the answers you get back aren’t cited, aren’t scored, and can’t be audited when a stakeholder asks where the data came from. AmpleData addresses this by accepting a list — companies, academic papers, job postings, properties, anything with a name — and letting you describe the columns you want filled in plain English. The tool dispatches a web search and crawl per row, runs an LLM over the results to extract structured answers, resolves conflicts when sources disagree, and writes the result back into the sheet. Each cell carries a source URL, an extracted snippet, and the reasoning used to arrive at the answer.

The differentiating feature isn’t the enrichment itself — it’s the per-cell citation and confidence score. The vendor describes this as ‘researched, not AI-generated’: click any cell and you see exactly which source URL produced the answer and how confident the model is. You can sort a column by confidence, identify the cells worth spot-checking, and re-run a column with a refined prompt without touching the rows that already scored high. That feedback loop is what separates a one-shot batch process from something you can actually trust at scale.

AmpleData fits teams running enrichment on lists where the source of truth is publicly available on the web — lead lists, YC company directories, academic paper metadata, remote policy research. It does not fit teams enriching from private databases, internal documents, or sources behind authentication walls. There is no self-hosted deployment path, which blocks any organization with hard data residency or compliance requirements before they write a single prompt.

Developers can drive the same enrichment engine over HTTP using scoped, revocable API keys generated from account settings. The API accepts a source ID, a list of key columns, and column definitions in the same plain-English format as the UI, then returns cited, confidence-scored cells as JSON. API calls bill against the same balance as the app with no separate platform fee or minimum — the code sample in the docs shows a two-step curl pattern: kick off an enrichment job, then poll for results.