Token Cost Estimate API

Estimate LLM API costs before making calls to Claude, GPT-4o, Gemini, or other models. Submit text and a model name — get back estimated token count, input cost, and projected output cost at current per-token pricing.

How it works

POST your text and optionally a model name (e.g., gpt-4o, claude-3-5-sonnet). The API estimates tokens and multiplies by the model's current published pricing. Pricing table is updated periodically.

Use cases

• Build budget-aware agent pipelines that skip expensive calls when cost exceeds threshold
• Compare model costs for a given task before choosing which to use
• Log estimated costs per agent session for billing or analytics
• Alert when a prompt would exceed a cost limit before sending it

API Reference

POST https://slopshop.gg/v1/text-token-estimate-cost
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

Input parameters

Example response

{
  "data": {
    "result": "success",
    "processed": true
  },
  "meta": {
    "credits_used": 1,
    "engine": "real",
    "ms": 4
  }
}

Examples

Three real-world scenarios showing how developers use Token Cost Estimate in production.

curl -X POST https://slopshop.gg/v1/text-token-estimate-cost \
  -H "Authorization: Bearer $SLOPSHOP_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text": "Full 10-page contract text...", "model": "gpt-4o"}'

curl -X POST https://slopshop.gg/v1/text-token-estimate-cost \
  -H "Authorization: Bearer $SLOPSHOP_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text": "Full 10-page contract text...", "model": "claude-3-5-sonnet"}'

curl -X POST https://slopshop.gg/v1/text-token-estimate-cost \
  -H "Authorization: Bearer $SLOPSHOP_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text": "System: You are an expert analyst... User: Analyze the following 500 rows of data...", "model": "gpt-4o-mini"}'

Code examples

curl

curl -X POST https://slopshop.gg/v1/text-token-estimate-cost \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"input": "your data here"}'

Python

import requests

response = requests.post(
    "https://slopshop.gg/v1/text-token-estimate-cost",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={"input": "your data here"}
)
result = response.json()
print(result["data"])

Node.js

const response = await fetch("https://slopshop.gg/v1/text-token-estimate-cost", {
  method: "POST",
  headers: {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({ input: "your data here" })
});
const { data } = await response.json();
console.log(data);

CLI

# Install the Slopshop CLI
npm install -g slopshop

# Set your API key
export SLOPSHOP_KEY=your_api_key

# Call text-token-estimate-cost
slop text-token-estimate-cost '{"input": "your data here"}'

Pricing

Credits are purchased in bundles starting at $1 for 1,000 credits. All compute APIs like this one use 1 credit per call — that's $0.001. See all pricing tiers.

Related APIs in Agent Tools

• Extract JSON from LLM API — Extract JSON from messy LLM output (markdown, code fences, explanation text). The #1 agent pain point solved.
• Validate LLM Output API — Validate LLM output against a JSON schema. Check types, required fields, enums, patterns.
• Fix Broken JSON API — Fix broken JSON from LLMs: single quotes, trailing commas, missing braces, JS comments.
• JSON Schema Validate API — Validate data against JSON Schema (draft-07). Types, required, enum, min/max, pattern.
• Webhook Send API — POST to any URL with any JSON payload. Agents need this to notify external systems.

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