Flat-rate LLM API for AI agents with smart routing and no per-token billing
A 4B model that estimates numbers from text with calibrated intervals
Stage
Not given
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Founded
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Based in
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Pricing model
Paid
Freemium
Pricing
Starter $19/mo with $30 compute budget (first month), Economy $39/mo with $61 budget (first month), Standard $89/mo with $142 budget (first month), Pro $249/mo with $403 budget (first month), Pro Plus $499/mo with $549 monthly budget, Growth $999/mo with $1,119 budget, Scale $2,499/mo with $2,849 bu
First 1,000 estimates free. Pricing for additional estimates available upon request.
Key features
Smart routing automatically selects efficient models for routine tasks and frontier models for complex work
Fixed monthly compute budgets with no per-token billing or overage charges
Optional smart pacing to spread monthly budget across the month
Access to frontier models from OpenAI, Anthropic, Google, and other labs
Provider optimization routing to lowest-cost instance of same model
Regional selection with no training on prompts and zero data retention options
Team support with company creation and per-member plan assignment
Dashboard showing real-time compute budget visibility and usage
99.97% API uptime with no session windows or usage limits
Returns median, quantiles, and calibrated intervals for numerical estimates
Processes text records in a single forward pass without text generation
Responds in approximately 160 milliseconds
Flags when targets are outside training distribution or intervals lack calibration guarantees
Supports few-shot learning with at least eight labeled examples
Trained on 36 public sources
Calculates probability of exceeding user-specified thresholds
For count targets can return probability of each whole number
Accepts text input without requiring schema declaration or preprocessing
Costs roughly two orders of magnitude less per prediction than frontier models
What makes it different
Predictable flat-rate pricing with no hidden usage windows or surprise cuts
70% further budget stretch through smart routing beyond direct provider pricing
No vendor lock-in with OpenAI-compatible API allowing three-edit switch
Designed for always-on agents with consistent latency and graceful bursty traffic handling
Provides calibrated uncertainty quantification where language models cannot
Transparently reports when calibration guarantees are absent
Dramatically faster inference than text-generating alternatives at 160ms
Designed for unstructured text without requiring labeled training data
Explicitly signals new, unseen targets with fallback capability for code
Standard Compute
maap