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Bytemine Structured Intelligence Extract
x402
Bytemine Structured Intelligence Extract is a paid API for AI agents from agents.bytemine.ai, paid per call via MPP or x402, $0.02/call, status healthy (last checked 2026-10-27, last successful call 2026-10-15).
Extracts structured fields from any company webpage using a prebuilt schema such as company_profile, team_members, pricing, tech_stack, social_links, branding, or full_intelligence.
Price / call$0.02typically ~$0.020/call
Success100%
StatusHealthy
How this service works
Turn any company page into structured fields using a prebuilt schema: company_profile, team_members, pricing, tech_stack, social_links, branding, or full_intelligence.
Output
Returns an 'extractions' object whose fields vary depending on the chosen schema: company_profile returns company name, description, industry, size, and similar fields; team_members returns a list of people with names, roles, and contact details; pricing returns plan names, prices, and features; tech_stack returns detected technologies and categories; social_links returns URLs to social profiles; branding returns logos, colors, and brand assets; full_intelligence returns all of the above combined.
Example use cases
Competitor pricing research
“Extract the pricing information from notion.so/pricing using the pricing schema — I want to see their tiers and costs in a structured format.”
Sales prospecting team lookup
“Go to acme.com/about and extract all the team members listed there — I need names, titles, and any other details you can find using the team_members schema.”
Tech stack discovery for outreach
“Check out shopify.com and extract what technologies they're using — run a tech_stack extraction so I can see their infrastructure before I reach out.”
Technical details
Endpoint
POSThttps://agents.bytemine.ai/functions/v1/api-gateway/company/intel/extract?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need structured, schema-validated data from a specific company page rather than raw content. It is ideal for sales and go-to-market workflows where you need particular fields (e.g. pricing tiers, team members, tech stack) without building your own parser. Prefer it over the generic page analyzer when you want clean, typed output rather than free-form text. Use full_intelligence when you want everything in one call from a single URL, or a targeted schema when you only need one category of data.
Side effects
- URL is inaccessible or returns a non-200 response — extractions may be empty or partial
- Schema type not supported for the given page content — extractions object may have null or sparse fields
- Page is JavaScript-rendered and content cannot be read — extraction may fail or return incomplete data
- Invalid or malformed URL — request rejected with validation error
- Rate limiting or payment failure — request blocked before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| url | string | Page URL to extract from. |
| schema | string | Extraction schema. |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| extractions | object | Fields depend on the chosen schema. |
Tags
x402
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