Revenue intelligence lead qualification for autonomous agents, including fit sco
Revenue intelligence lead qualification for autonomous agents, including fit scoring, cited evidence, risks, buying signals, sales angle, and next action.
Answeringour last check, 2026-10-24
1 of 1checks answered this week
1363 msmedian answer time
$0.6listed price per call
$0.6price it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
POST https://api.qonoro.ai/v1/revenue/qualify-lead
| Category | Everything else |
|---|---|
| Provider host | api.qonoro.ai |
| Networks | eip155:8453 |
| Payment schemes | exact |
| Self-reported calls, 30 days | 1 from 1 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-10-24 | valid payment request | 402 | $0.6 | 1363 ms |
Example input (from the provider)
{
"body": {
"company_name": "Notion",
"ideal_customer_profile": "B2B SaaS companies with sales teams",
"product_or_offer": "AI-powered CRM enrichment and revenue intelligence API",
"website": "https://www.notion.so"
},
"bodyType": "json",
"inputSchema": {
"properties": {
"buyer_region": {
"description": "Optional privacy-safe buyer region for operational reporting",
"enum": [
"PR",
"outside_PR",
"unknown"
],
"type": "string"
},
"company_name": {
"description": "Company or account name to qualify",
"type": "string"
},
"ideal_customer_profile": {
"description": "Description of the target ICP for the seller",
"type": "string"
},
"notes": {
"description": "Optional sales context, region, deal notes, or exclusions",
"type": "string"
},
"product_or_offer": {
"description": "Product, service, or offer being sold",
"type": "string"
},
"website": {
"description": "Official company website",
"type": "string"
}
},
"required": [
"company_name",
"ideal_customer_profile",
"product_or_offer"
],
"type": "object"
},
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"buyer_region": {
"description": "Optional privacy-safe buyer region for operational reporting",
"enum": [
"PR",
"outside_PR",
"unknown"
],
"type": "string"
},
"company_name": {
"description": "Company or account name to qualify",
"type": "string"
},
"ideal_customer_profile": {
"description": "Description of the target ICP for the seller",
"type": "string"
},
"notes": {
"description": "Optional sales context, region, deal notes, or exclusions",
"type": "string"
},
"product_or_offer": {
"description": "Product, service, or offer being sold",
"type": "string"
},
"website": {
"description": "Official company website",
"type": "string"
}
},
"required": [
"company_name",
"ideal_customer_profile",
"product_or_offer"
],
"type": "object"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"inputSchema": {
"type": "object"
},
"method": {
"enum": [
"POST",
"PUT",
"PATCH"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"properties": {
"buying_signals": {
"items": {
"type": "string"
},
"type": "array"
},
"cache_hit": {
"type": "boolean"
},
"company_name": {
"type": "string"
},
"confidence_score": {
"type": "number"
},
"crm_summary": {
"type": "string"
},
"decision_maker_targets": {
"items": {
"properties": {
"role": {
"type": "string"
},
"why": {
"type": "string"
}
},
"type": "object"
},
"type": "array"
},
"evidence_items": {
"items": {
"properties": {
"claim": {
"type": "string"
},
"impact": {
"type": "string"
},
"signal_type": {
"enum": [
"fit",
"buying_signal",
"risk",
"objection",
"urgency"
],
"type": "string"
},
"source": {
"type": "string"
}
},
"type": "object"
},
"type": "array"
},
"evidence_level": {
"enum": [
"strong",
"moderate",
"weak"
],
"type": "string"
},
"fit_reasons": {
"items": {
"type": "string"
},
"type": "array"
},
"lead_score": {
"type": "integer"
},
"next_best_action": {
"type": "string"
},
"objection_risks": {
"items": {
"type": "string"
},
"type": "array"
},
"personalized_opening": {
"type": "string"
},
"qualification": {
"enum": [
"qualified",
"needs_review",
"not_qualified"
],
"type": "string"
},
"quality_warnings": {
"items": {
"type": "string"
},
"type": "array"
},
"recommended_sales_angle": {
"type": "string"
},
"request_id": {
"type": "string"
},
"risk_factors": {
"items": {
"type": "string"
},
"type": "array"
},
"sales_motion_fit": {
"enum": [
"enterprise_outbound",
"mid_market_outbound",
"product_led_growth",
"partner_led",
"self_serve",
"unclear"
],
"type": "string"
},
"score_breakdown": {
"additionalProperties": {
"type": "integer"
},
"description": "Component scores from 0 to 100 for icp_fit, revenue_potential, buying_signals, urgency, and risk_adjustment.",
"type": "object"
},
"sources": {
"items": {
"type": "string"
},
"type": "array"
}
},
"type": "object"
},
"type": {
"type": "string"
}