Create a custom persona

curl -X POST https://app.mavera.io/api/v1/personas \
  -H "Authorization: Bearer mvra_live_your_key_here" \
  -H "Content-Type: application/json" \
  -d '{
    "pipeline_type": "intermediate",
    "name": "Enterprise CMO",
    "type": "B2B",
    "role_segment": ["CMO", "VP Marketing"],
    "buying_stage": "SOLUTION_AWARE",
    "decision_role": "ECONOMIC_BUYER",
    "primary_objectives": ["Drive revenue growth", "Optimize marketing spend"],
    "mcda_weights": {"price": 3, "timeToValue": 4, "risk": 2, "proof": 5, "support": 3},
    "goals": ["Increase marketing ROI", "Scale demand generation"],
    "pains": ["Attribution challenges", "Budget constraints", "Tech stack complexity"],
    "triggers": ["New fiscal year", "Board pressure", "Competitor threat"],
    "channels": ["LinkedIn", "Industry events", "Peer referrals"],
    "proof_types": ["Case studies", "ROI calculators", "Peer references"],
    "alternatives": ["HubSpot", "Marketo", "In-house solution"],
    "win_factors": ["Time to value", "Integration ease", "Support quality"],
    "objections": ["Implementation time", "Team adoption", "Data migration"]
  }'

import requests

headers = {"Authorization": "Bearer mvra_live_your_key_here"}

response = requests.post(
    "https://app.mavera.io/api/v1/personas",
    headers=headers,
    json={
        "pipeline_type": "advanced",
        "name": "SaaS Procurement Manager",
        "type": "B2B",
        "primary_use_case": "SALES_ENABLEMENT",
        "buying_stage": "DECISION",
        "decision_role": "ECONOMIC_BUYER",
        "committee_mapping": ["CTO", "CFO", "Legal"],
        "mcda_weights": {
            "price": 4, "timeToValue": 3, "risk": 5,
            "proof": 4, "support": 3, "quality": 4
        },
        "goals": ["Reduce software costs", "Consolidate vendors"],
        "pains": ["Budget tracking", "Contract renewals", "Shadow IT"],
        "triggers": ["Audit findings", "Budget review", "Contract expiration"],
        "values": ["Transparency", "Efficiency", "Compliance"],
        "objections": ["Integration complexity", "Training overhead"],
        "proof_preferences": ["Security certifications", "Compliance reports"],
        "brand_voice_fit": "CONSERVATIVE",
        "reading_level": "TECHNICAL",
        "role_title": "Procurement Manager",
        "seniority": "Senior",
        "industry": "Technology",
        "company_size": "SIZE_201_1K",
        "budget_authority": "SHARED",
        "alternatives": ["Competitor A", "Manual process"],
        "key_differentiators": ["SOC2 compliance", "API-first"]
    }
)

persona = response.json()
print(f"Created: {persona['name']} ({persona['id']})")
print(f"Credits charged: {persona['credits_charged']}")

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    pipeline_type: 'north_star',
    suggestion: {
      name: '<string>',
      description: '<string>',
      goals: ['<string>'],
      pains: ['<string>'],
      channels: ['<string>'],
      triggers: ['<string>'],
      buying_stage: '<string>',
      decision_role: '<string>',
      confidence: 123,
      rationale: '<string>'
    },
    business_description: '<string>',
    target_customers: ['<string>'],
    sources: [{name: '<string>', url: '<string>', description: '<string>'}]
  })
};

fetch('https://app.mavera.io/api/v1/personas', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://app.mavera.io/api/v1/personas"

	payload := strings.NewReader("{\n  \"pipeline_type\": \"north_star\",\n  \"suggestion\": {\n    \"name\": \"<string>\",\n    \"description\": \"<string>\",\n    \"goals\": [\n      \"<string>\"\n    ],\n    \"pains\": [\n      \"<string>\"\n    ],\n    \"channels\": [\n      \"<string>\"\n    ],\n    \"triggers\": [\n      \"<string>\"\n    ],\n    \"buying_stage\": \"<string>\",\n    \"decision_role\": \"<string>\",\n    \"confidence\": 123,\n    \"rationale\": \"<string>\"\n  },\n  \"business_description\": \"<string>\",\n  \"target_customers\": [\n    \"<string>\"\n  ],\n  \"sources\": [\n    {\n      \"name\": \"<string>\",\n      \"url\": \"<string>\",\n      \"description\": \"<string>\"\n    }\n  ]\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

{
  "id": "<string>",
  "object": "custom_persona",
  "name": "<string>",
  "category": "<string>",
  "description": "<string>",
  "is_custom": true,
  "created_at": 123,
  "credits_charged": 300,
  "details": {
    "pipeline_type": "<string>",
    "persona_type": "<string>",
    "primary_use_case": "<string>",
    "buying_stage": "<string>",
    "decision_role": "<string>",
    "role_segment": [
      "<string>"
    ],
    "primary_objectives": [
      "<string>"
    ],
    "mcda_weights": {},
    "goals": [
      "<string>"
    ],
    "pains": [
      "<string>"
    ],
    "triggers": [
      "<string>"
    ],
    "channels": [
      "<string>"
    ],
    "proof_types": [
      "<string>"
    ],
    "alternatives": [
      "<string>"
    ],
    "win_factors": [
      "<string>"
    ],
    "objections": [
      "<string>"
    ],
    "values": [
      "<string>"
    ],
    "proof_preferences": [
      "<string>"
    ],
    "brand_voice_fit": "<string>",
    "reading_level": "<string>",
    "tone_guardrails": [
      "<string>"
    ],
    "role_title": "<string>",
    "seniority": "<string>",
    "industry": "<string>",
    "company_size": "<string>",
    "tech_stack": [
      "<string>"
    ],
    "budget_authority": "<string>",
    "procurement_constraints": [
      "<string>"
    ],
    "committee_mapping": [
      "<string>"
    ],
    "life_stage": "<string>",
    "age_band": "<string>",
    "income_band": "<string>",
    "household_context": [
      "<string>"
    ],
    "lifestyle_affinities": [
      "<string>"
    ],
    "purchase_cadence": "<string>",
    "key_differentiators": [
      "<string>"
    ],
    "regulatory_context": [
      "<string>"
    ],
    "is_localized": true,
    "locale_scope": "<string>",
    "locale_value": "<string>",
    "local_channels": [
      "<string>"
    ],
    "local_objections": [
      "<string>"
    ],
    "local_keywords": [
      "<string>"
    ],
    "price_sensitivity_delta": 123,
    "purpose_packs_enabled": {},
    "acquisition_config": {},
    "pmm_config": {},
    "content_config": {},
    "sales_config": {},
    "research_config": {}
  },
  "ai_generated": {
    "confidence": 123,
    "rationale": "<string>"
  }
}

{
  "error": {
    "message": "Invalid API key.",
    "type": "authentication_error",
    "code": "invalid_api_key",
    "param": null
  }
}

{
  "error": {
    "message": "Invalid API key.",
    "type": "authentication_error",
    "code": "invalid_api_key",
    "param": null
  }
}

{
  "error": {
    "message": "Invalid API key.",
    "type": "authentication_error",
    "code": "invalid_api_key",
    "param": null
  }
}

{
  "error": {
    "message": "Invalid API key.",
    "type": "authentication_error",
    "code": "invalid_api_key",
    "param": null
  }
}