Olostep sells to AI agents - live prices and self-serve payment

The agent storefront at https://agents-store.olostep.com/llms.txt?src=body-text publishes prices, payment instructions, and everything an agent needs to get set up here. Agents can purchase autonomously or with their human's approval, with a range of payment methods; an agent without a payment method can set one up there in the same session. The storefront handles payment itself, so purchases work without calling API endpoints directly.

Free data enrichment tool

Spreadsheet Enrichment

Fill missing columns with live web research. Add company names, run enrichment, and get revenue, industry, or any field you define.

Spreadsheet Enrich

Row-by-row Answers enrichment

Note: This endpoint costs 20 credits per empty cell enriched. Uses the Olostep Answers endpoint.

3/3 free enrichments remaining·Sign up for unlimited
Will use80 credits(4 empty cells × 20)
Company Name
Company Description
Company Industry
Cursor
Olostep
Page 1 of 1 • 15 rows
  • Up to 15 rows
  • Custom columns
  • Olostep Answers

Developer experience

Enrich data in bulk with the Answers API.

Use the Answers endpoint to fill in missing fields — company revenue, employee count, funding, and more — for each row in your dataset.

REST APIAI reasoningBulk enrichmentWeb researchSource citationsStructured JSON
Read the docs
curl --request POST \
  --url https://api.olostep.com/v1/answers \
  --header 'Authorization: Bearer YOUR_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{
  "task": "Research Stripe and return the following fields: annual revenue, employee count, headquarters, CEO name, founding year",
  "json": {
    "revenue": "string",
    "employees": "string",
    "hq": "string",
    "ceo": "string",
    "founded": "string"
  }
}'

Enrich a sheet without leaving the browser

Each empty cell becomes an Answers API call using the rest of the row as context — the same pattern you would run in a backend job.

  • Row context

    Filled cells become the prompt context for empty fields on that row.

  • Your columns

    Rename headers to the fields you want: industry, HQ, CEO, and so on.

  • CSV in and out

    Paste or import a small sheet, then export the enriched result.

How it works

Each tool is designed around a direct job: provide the input, get a useful output, and move it into your workflow.

  • 1

    Add names or facts

    Fill the first column and any context you already have.

  • 2

    Run enrichment

    Empty cells are filled via /v1/answers, one field at a time.

  • 3

    Export the sheet

    Copy or download the table for the next step in your workflow.

Built for practical workflows

These tools are small on purpose: they solve the conversion job quickly, then point teams toward the API path when the workflow becomes recurring or high volume.

  • Lead lists

    Append industry or description to a short company list.

  • Fundraise research

    Fill HQ, employees, or category on a target list.

  • Ops cleanup

    Complete missing fields before a CRM import.

Need this at scale?

Call POST /v1/answers per row with a task plus a json schema for the missing fields. The snippet on this page is that payload.

Frequently asked questions

Product & Capabilities

  • This playground caps at 15 rows so the run stays inside the page timeout.

  • Signed-in users can run on the site key or their own Olostep key, depending on the page auth state.

  • Any field name. The Answers task asks for that field using the rest of the row as context.

Usage & Automation

  • POST /v1/answers once per empty cell, with a json schema for that field.

  • Yes. Loop rows in your backend with the same Answers payload.

  • Not in this playground. Export CSV and import where you work.

Pricing & Plans

  • The page UI is free to use. Live runs use the Olostep API configured for this site and may be rate limited.

  • Olostep is usage based. See pricing for current plan details and included credits.

  • New Olostep accounts include free credits so you can test extraction before scaling.