Sales Intake

Turn inbound messages into a sales queue with stated facts, transparent fit criteria and a destination team.

Performance & cost

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Typical delivery time: —
Live input tokens: 0
Estimated inference cost · USD: $0.00

How these numbers work · 0 successful requests

Live model compute: —
Successful requests: 0

Delivery time is the median browser time for successful requests, including queue, network, and retries. Cached delivery speed is not inference speed. Model compute can exceed browser time when one request processes many inputs.

Tokens come from response headers. Inference costs use $0.04 per million input tokens, before plan credits. The estimate includes live and recorded tokens at the same rate; cached examples are not charged again. Missing usage is unavailable or a partial total (≥). Demo resets keep these totals; reload to start a new session.

Try it

Run the stock inbox free and adjust fit weights. Use your key for your own messages or criteria.

Build with the SDKTypeScript · Python · dm1

Use these API building blocks in your own app. Each sample is one request from this demo’s supplied inputs. Your code owns the surrounding workflow, validation and actions.

Copied samples call the live API with MS_API_KEY and use your quota. Keep the key on your server. The free demo cache is only for this site.

API request

Install · set your key

npm install @cloudraker/milliseconds
export MS_API_KEY="your-api-key"

example.ts

import { DecisionMachine } from "@cloudraker/milliseconds";

// Run on your server; reads MS_API_KEY from the environment.
const dm = new DecisionMachine();

const { result, usage } = await dm.yesNo(
  [
    "Hi, I'm Maya Chen at Northstar Foods. Email: maya@northstar.example. We need to automate invoice processing across our warehouses. Can we book a software demo? We want to start next month. Our budget is $12,000 per year.",
    "I'm Oliver from Cedar Studio, oliver@cedar.example. We are evaluating software to process client documents automatically. Could you share pricing? No rollout date has been set and our budget is not decided.",
    "Hi, I'm Priya at Fieldwork, priya@fieldwork.example. We already use your product. Our team cannot log in after the latest update. Please help restore access today.",
    "I'm Leo Martinez, leo@candidate.example. Are you hiring frontend engineers? I'd love to apply for an open role. My resume is available on request.",
    "I'm Drew from Pipeline Partners. We sell outsourced appointment setting. Our package starts at $900 per month. Can we pitch our service to your sales director?",
    "I'm Sam at Brightside Books, sam@brightside.example. We need a social media scheduling tool. Can we see a demo of your software? We plan to start next year. Budget: $2,000 annually."
  ],
  [
    "The sender wants to purchase or evaluate software for their organization.",
    "The sender asks for help with a product they already use.",
    "The sender is applying for a job or asking about employment.",
    "The sender is offering to sell their services to the recipient."
  ]
).withUsage();

console.log(result);
console.log({ inputTokens: usage.inputTokens, modelMs: usage.inferenceMs });

example.ts

import { DecisionMachine } from "@cloudraker/milliseconds";

// Run on your server; reads MS_API_KEY from the environment.
const dm = new DecisionMachine();

const { result, usage } = await dm.classify(
  [
    "Hi, I'm Maya Chen at Northstar Foods. Email: maya@northstar.example. We need to automate invoice processing across our warehouses. Can we book a software demo? We want to start next month. Our budget is $12,000 per year.",
    "I'm Oliver from Cedar Studio, oliver@cedar.example. We are evaluating software to process client documents automatically. Could you share pricing? No rollout date has been set and our budget is not decided.",
    "Hi, I'm Priya at Fieldwork, priya@fieldwork.example. We already use your product. Our team cannot log in after the latest update. Please help restore access today.",
    "I'm Leo Martinez, leo@candidate.example. Are you hiring frontend engineers? I'd love to apply for an open role. My resume is available on request.",
    "I'm Drew from Pipeline Partners. We sell outsourced appointment setting. Our package starts at $900 per month. Can we pitch our service to your sales director?",
    "I'm Sam at Brightside Books, sam@brightside.example. We need a social media scheduling tool. Can we see a demo of your software? We plan to start next year. Budget: $2,000 annually."
  ],
  {
    "match": "The message explicitly meets this criterion: Needs to automate document or invoice processing",
    "not_fit": "The message explicitly contradicts this criterion: Needs to automate document or invoice processing",
    "unknown": "The message does not provide enough information to evaluate this criterion: Needs to automate document or invoice processing"
  }
).withUsage();

console.log(result);
console.log({ inputTokens: usage.inputTokens, modelMs: usage.inferenceMs });

example.ts

import { DecisionMachine } from "@cloudraker/milliseconds";

// Run on your server; reads MS_API_KEY from the environment.
const dm = new DecisionMachine();

const { result, usage } = await dm.extract(
  [
    "Hi, I'm Maya Chen at Northstar Foods. Email: maya@northstar.example. We need to automate invoice processing across our warehouses. Can we book a software demo? We want to start next month. Our budget is $12,000 per year.",
    "I'm Oliver from Cedar Studio, oliver@cedar.example. We are evaluating software to process client documents automatically. Could you share pricing? No rollout date has been set and our budget is not decided.",
    "Hi, I'm Priya at Fieldwork, priya@fieldwork.example. We already use your product. Our team cannot log in after the latest update. Please help restore access today.",
    "I'm Leo Martinez, leo@candidate.example. Are you hiring frontend engineers? I'd love to apply for an open role. My resume is available on request.",
    "I'm Drew from Pipeline Partners. We sell outsourced appointment setting. Our package starts at $900 per month. Can we pitch our service to your sales director?",
    "I'm Sam at Brightside Books, sam@brightside.example. We need a social media scheduling tool. Can we see a demo of your software? We plan to start next year. Budget: $2,000 annually."
  ],
  {
    "type": "object",
    "properties": {
      "company": {
        "type": "string",
        "description": "the sender company name, not the recipient company"
      },
      "contact": {
        "type": "string",
        "description": "the sender person name"
      },
      "email": {
        "type": "string",
        "description": "the sender email address"
      },
      "need": {
        "type": "string",
        "description": "the product or task the sender needs help with"
      },
      "timing": {
        "type": "string",
        "description": "the explicitly stated purchase or rollout timeline"
      },
      "budget": {
        "type": "string",
        "description": "the explicitly stated purchase budget, not a price offered by a vendor"
      }
    }
  }
).withUsage();

console.log(result);
console.log({ inputTokens: usage.inputTokens, modelMs: usage.inferenceMs });

Install · set your key

pip install cloudraker-milliseconds
export MS_API_KEY="your-api-key"

example.py

from milliseconds import DecisionMachine

# Reads MS_API_KEY from the environment.
dm = DecisionMachine()

result = dm.yes_no(
    [
      "Hi, I'm Maya Chen at Northstar Foods. Email: maya@northstar.example. We need to automate invoice processing across our warehouses. Can we book a software demo? We want to start next month. Our budget is $12,000 per year.",
      "I'm Oliver from Cedar Studio, oliver@cedar.example. We are evaluating software to process client documents automatically. Could you share pricing? No rollout date has been set and our budget is not decided.",
      "Hi, I'm Priya at Fieldwork, priya@fieldwork.example. We already use your product. Our team cannot log in after the latest update. Please help restore access today.",
      "I'm Leo Martinez, leo@candidate.example. Are you hiring frontend engineers? I'd love to apply for an open role. My resume is available on request.",
      "I'm Drew from Pipeline Partners. We sell outsourced appointment setting. Our package starts at $900 per month. Can we pitch our service to your sales director?",
      "I'm Sam at Brightside Books, sam@brightside.example. We need a social media scheduling tool. Can we see a demo of your software? We plan to start next year. Budget: $2,000 annually."
    ],
    [
      "The sender wants to purchase or evaluate software for their organization.",
      "The sender asks for help with a product they already use.",
      "The sender is applying for a job or asking about employment.",
      "The sender is offering to sell their services to the recipient."
    ]
)

print(result)

example.py

from milliseconds import DecisionMachine

# Reads MS_API_KEY from the environment.
dm = DecisionMachine()

result = dm.classify(
    [
      "Hi, I'm Maya Chen at Northstar Foods. Email: maya@northstar.example. We need to automate invoice processing across our warehouses. Can we book a software demo? We want to start next month. Our budget is $12,000 per year.",
      "I'm Oliver from Cedar Studio, oliver@cedar.example. We are evaluating software to process client documents automatically. Could you share pricing? No rollout date has been set and our budget is not decided.",
      "Hi, I'm Priya at Fieldwork, priya@fieldwork.example. We already use your product. Our team cannot log in after the latest update. Please help restore access today.",
      "I'm Leo Martinez, leo@candidate.example. Are you hiring frontend engineers? I'd love to apply for an open role. My resume is available on request.",
      "I'm Drew from Pipeline Partners. We sell outsourced appointment setting. Our package starts at $900 per month. Can we pitch our service to your sales director?",
      "I'm Sam at Brightside Books, sam@brightside.example. We need a social media scheduling tool. Can we see a demo of your software? We plan to start next year. Budget: $2,000 annually."
    ],
    {
      "match": "The message explicitly meets this criterion: Needs to automate document or invoice processing",
      "not_fit": "The message explicitly contradicts this criterion: Needs to automate document or invoice processing",
      "unknown": "The message does not provide enough information to evaluate this criterion: Needs to automate document or invoice processing"
    }
)

print(result)

example.py

from milliseconds import DecisionMachine

# Reads MS_API_KEY from the environment.
dm = DecisionMachine()

result = dm.extract(
    [
      "Hi, I'm Maya Chen at Northstar Foods. Email: maya@northstar.example. We need to automate invoice processing across our warehouses. Can we book a software demo? We want to start next month. Our budget is $12,000 per year.",
      "I'm Oliver from Cedar Studio, oliver@cedar.example. We are evaluating software to process client documents automatically. Could you share pricing? No rollout date has been set and our budget is not decided.",
      "Hi, I'm Priya at Fieldwork, priya@fieldwork.example. We already use your product. Our team cannot log in after the latest update. Please help restore access today.",
      "I'm Leo Martinez, leo@candidate.example. Are you hiring frontend engineers? I'd love to apply for an open role. My resume is available on request.",
      "I'm Drew from Pipeline Partners. We sell outsourced appointment setting. Our package starts at $900 per month. Can we pitch our service to your sales director?",
      "I'm Sam at Brightside Books, sam@brightside.example. We need a social media scheduling tool. Can we see a demo of your software? We plan to start next year. Budget: $2,000 annually."
    ],
    {
      "type": "object",
      "properties": {
        "company": {
          "type": "string",
          "description": "the sender company name, not the recipient company"
        },
        "contact": {
          "type": "string",
          "description": "the sender person name"
        },
        "email": {
          "type": "string",
          "description": "the sender email address"
        },
        "need": {
          "type": "string",
          "description": "the product or task the sender needs help with"
        },
        "timing": {
          "type": "string",
          "description": "the explicitly stated purchase or rollout timeline"
        },
        "budget": {
          "type": "string",
          "description": "the explicitly stated purchase budget, not a price offered by a vendor"
        }
      }
    }
)

print(result)

Install · set your key

npm install -g @cloudraker/milliseconds
export MS_API_KEY="your-api-key"

Terminal

# Reads MS_API_KEY. JSON on stdin supplies the complete request.
dm1 yes-no --json --usage <<'DM1_REQUEST'
{
  "texts": [
    "Hi, I'm Maya Chen at Northstar Foods. Email: maya@northstar.example. We need to automate invoice processing across our warehouses. Can we book a software demo? We want to start next month. Our budget is $12,000 per year.",
    "I'm Oliver from Cedar Studio, oliver@cedar.example. We are evaluating software to process client documents automatically. Could you share pricing? No rollout date has been set and our budget is not decided.",
    "Hi, I'm Priya at Fieldwork, priya@fieldwork.example. We already use your product. Our team cannot log in after the latest update. Please help restore access today.",
    "I'm Leo Martinez, leo@candidate.example. Are you hiring frontend engineers? I'd love to apply for an open role. My resume is available on request.",
    "I'm Drew from Pipeline Partners. We sell outsourced appointment setting. Our package starts at $900 per month. Can we pitch our service to your sales director?",
    "I'm Sam at Brightside Books, sam@brightside.example. We need a social media scheduling tool. Can we see a demo of your software? We plan to start next year. Budget: $2,000 annually."
  ],
  "statements": [
    "The sender wants to purchase or evaluate software for their organization.",
    "The sender asks for help with a product they already use.",
    "The sender is applying for a job or asking about employment.",
    "The sender is offering to sell their services to the recipient."
  ]
}
DM1_REQUEST

Terminal

# Reads MS_API_KEY. JSON on stdin supplies the complete request.
dm1 classify --json --usage <<'DM1_REQUEST'
{
  "texts": [
    "Hi, I'm Maya Chen at Northstar Foods. Email: maya@northstar.example. We need to automate invoice processing across our warehouses. Can we book a software demo? We want to start next month. Our budget is $12,000 per year.",
    "I'm Oliver from Cedar Studio, oliver@cedar.example. We are evaluating software to process client documents automatically. Could you share pricing? No rollout date has been set and our budget is not decided.",
    "Hi, I'm Priya at Fieldwork, priya@fieldwork.example. We already use your product. Our team cannot log in after the latest update. Please help restore access today.",
    "I'm Leo Martinez, leo@candidate.example. Are you hiring frontend engineers? I'd love to apply for an open role. My resume is available on request.",
    "I'm Drew from Pipeline Partners. We sell outsourced appointment setting. Our package starts at $900 per month. Can we pitch our service to your sales director?",
    "I'm Sam at Brightside Books, sam@brightside.example. We need a social media scheduling tool. Can we see a demo of your software? We plan to start next year. Budget: $2,000 annually."
  ],
  "labels": {
    "match": "The message explicitly meets this criterion: Needs to automate document or invoice processing",
    "not_fit": "The message explicitly contradicts this criterion: Needs to automate document or invoice processing",
    "unknown": "The message does not provide enough information to evaluate this criterion: Needs to automate document or invoice processing"
  }
}
DM1_REQUEST

Terminal

# Reads MS_API_KEY. JSON on stdin supplies the complete request.
dm1 extract --json --usage <<'DM1_REQUEST'
{
  "texts": [
    "Hi, I'm Maya Chen at Northstar Foods. Email: maya@northstar.example. We need to automate invoice processing across our warehouses. Can we book a software demo? We want to start next month. Our budget is $12,000 per year.",
    "I'm Oliver from Cedar Studio, oliver@cedar.example. We are evaluating software to process client documents automatically. Could you share pricing? No rollout date has been set and our budget is not decided.",
    "Hi, I'm Priya at Fieldwork, priya@fieldwork.example. We already use your product. Our team cannot log in after the latest update. Please help restore access today.",
    "I'm Leo Martinez, leo@candidate.example. Are you hiring frontend engineers? I'd love to apply for an open role. My resume is available on request.",
    "I'm Drew from Pipeline Partners. We sell outsourced appointment setting. Our package starts at $900 per month. Can we pitch our service to your sales director?",
    "I'm Sam at Brightside Books, sam@brightside.example. We need a social media scheduling tool. Can we see a demo of your software? We plan to start next year. Budget: $2,000 annually."
  ],
  "schema": {
    "type": "object",
    "properties": {
      "company": {
        "type": "string",
        "description": "the sender company name, not the recipient company"
      },
      "contact": {
        "type": "string",
        "description": "the sender person name"
      },
      "email": {
        "type": "string",
        "description": "the sender email address"
      },
      "need": {
        "type": "string",
        "description": "the product or task the sender needs help with"
      },
      "timing": {
        "type": "string",
        "description": "the explicitly stated purchase or rollout timeline"
      },
      "budget": {
        "type": "string",
        "description": "the explicitly stated purchase budget, not a price offered by a vendor"
      }
    }
  }
}
DM1_REQUEST

From an inbox to the next conversation

The model checks four intent signals, extracts stated facts, and evaluates three criteria. Code routes each message to a team and computes a weighted fit score from the known criteria. Weights reorder the queue locally; new criteria need a fresh model run.

Drafts, ready for a person

These fictional messages demonstrate intake, not enrichment. Exact wording can be highlighted in the source, but a match does not prove the model assigned the right meaning or person. Unknown information stays unknown. Routes and fit judgments can be wrong; nothing is sent to a CRM and no email is sent.