Qonoro AI B2B Outbound Message Personalizer

x402

Qonoro AI B2B Outbound Message Personalizer is a paid API for AI agents from api.qonoro.ai, paid per call via x402, $0.5/call, status unknown (last checked 2026-10-10).

Generates a personalized B2B outbound sales email with subject line, opening, body, and call to action tailored to a specific prospect and company.

Price / call$0.5

Seller volume →—

Success—

StatusUnknown

How this service works

Generates a personalized B2B outbound message for a target prospect: subject line, opening, body, and call to action, grounded in company and person context.

Output

Returns a fully composed outbound sales email broken into structured components: subject_line, opening_line, body, and call_to_action. Also includes person_context and company_context summaries, signals_used (the research inputs that informed personalization), data_quality rating (high/medium/low), sources, and a request_id for tracing. A cache_hit flag indicates if a cached result was returned.

Example use cases

SDR automating cold email outreach

“Generate a personalized cold email to Marcus Rivera, Head of Procurement at Accenture (accenture.com), pitching our procurement automation software — angle it around reducing manual vendor onboarding time.”

Startup founder reaching enterprise buyers

“Write me a personalized B2B outreach email to Jennifer Liao, CFO at Salesforce, to introduce my spend analytics platform — use her LinkedIn at linkedin.com/in/jenniferliaosfdc and focus on the angle of real-time budget visibility.”

Sales agent targeting HR decision makers

“Create a tailored cold outreach email to David Park, Chief People Officer at HubSpot (hubspot.com), selling our employee engagement survey tool — hook it around their recent remote-first culture announcement.”

Technical details

Endpoint

POSThttps://api.qonoro.ai/v1/outbound/personalize?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need a fully composed, research-grounded B2B outbound email — not just a template fill-in — for a specific named prospect at a specific company. It is ideal for sales development workflows, agent-driven outbound sequences, or founder-led outreach where personalization depth matters. Prefer this over generic LLM prompting when you want signals automatically sourced from company and person context rather than manually supplied.

Side effects

Missing required fields (person_name, company_name, your_product) returns a 400 validation error
Unknown or ambiguous person/company may result in low data_quality output with generic messaging
Invalid LinkedIn URL format may be ignored or cause enrichment failure
Rate limiting or quota exhaustion may return 429 errors
Ambiguous common names without domain or LinkedIn URL may produce misattributed context

Input

Schema · Request body

Field	Type	Description
angle	string	Specific angle or hook to focus on (e.g. 'their recent AI investment'). Optional.
domain	string	Company domain (e.g. hubspot.com). Optional. Improves search accuracy.
person_name	string	Full name of the person to contact.
buyer_region	string	Optional privacy-safe buyer region for operational reporting.
company_name	string	Name of the company the person works at.
person_title	string	Person's job title if known. Optional.
your_product	string	Product or service you are selling.
person_linkedin_url	string	LinkedIn profile URL. Helps disambiguate common names. Optional.

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