AI costs, cut to the bone.
Every single time.
Right model every request. One API. 100+ LLMs. Drop in — no refactor.
Flagship models for email summaries?
Simple work still hits $3–15/1M models. Same quality often lands at $0.04–0.10/1M — faster.
Many
requests don't need high-reasoning models
Premium
pricing for simple tasks on flagship models
Lower cost*
by routing to the right model
Same quality*
with smart task-to-model routing
Yielding Bear fixes this
Cheap models for easy tasks. Frontier only when it counts. You pay for the job, not the brand.
How routing works
Every prompt is analyzed and sent to the right model — automatically.
Your App
Prompt comes in
Yielding Bear Router
Analyzes intent + cost
Right Model
Most Efficient
Lower Cost
Every call routed efficiently
Live routing examples
What-If Cost Comparison
Adjust volume and provider to see how Yielding Bear's blended rate compares at your scale. Illustrative only — actual costs depend on your model mix and traffic.
Single Provider
Claude 3.7 Sonnet
$3.00/1M in · $15.00/1M out
$630.00
per month
Yielding Bear Unified API
Smart-routed blended rate
$0.04/1M in · $0.12/1M out
$5.20
per month
What-if monthly delta
$624.80*
FDE — Forward Deployed Engineering
AI mapped to how you actually operate
We map inputs, decisions, handoffs, ops, outcomes, and controls — then drop the right capability in each slot.
Inputs
Integration pointWhere does work arrive?
What's already there
- ·Email, SMS, forms, CRM, support inbox
- ·Docs, invoices, filings, call recordings
What we drop in
- →Ingest + classify by intent and urgency
- →OCR that keeps tables and signatures
Decisions
Integration pointWhere does someone decide?
What's already there
- ·Route, qualify, score, approve
- ·Risk gates, pricing floors, compliance holds
What we drop in
- →Decision support with a readable audit trail
- →Eval gates before any model swap ships
Handoffs
Integration pointWhere does work change hands?
What's already there
- ·Sales → onboarding → support
- ·Field ↔ back office, ticket triage
What we drop in
- →Agents that span team and tool boundaries
- →One packet: context, history, attachments
Operations
Integration pointWhat keeps the lights on?
What's already there
- ·AP/AR, reconciliation, vendor onboarding
- ·Triage, first-draft replies, KPI rollups
What we drop in
- →Pipelines with retries, DLQs, kill switches
- →Ops consoles shipped into your repo
Outcomes
Integration pointWhat do you measure?
What's already there
- ·Throughput, margin, cycle time
- ·Error rate, CSAT, first-pass yield
What we drop in
- →KPI-aware evals on every model change
- →Spend dashboards by team and tenant
Governance
Integration pointWho owns and can kill it?
What's already there
- ·SSO, RBAC, SOC2 / HIPAA / GDPR
- ·Audit trails, rate limits, kill switches
What we drop in
- →SSO + SIEM-exportable audit logs
- →Policy as code with hard kill switches
What we look for, by vertical
Deal-breakers from the first 30 minutes of Discovery. No map, no build.
Finance
- ●Bank/ERP reconciliation with explainable diffs
- ●Audit-ready controls and change history
- ●Maps to the regulator your CFO already faces
Operations
- ●Per-step cost on multi-stage pipelines
- ●Idempotent retries + DLQs, no double-runs
- ●Hooks into dashboards ops already uses
Customer
- ●Citations on every claim — no freelancing
- ●Confidence handoff with full context packet
- ●Brand voice and escalation rules as policy
Healthcare
- ●PHI tagged at source, never inferred
- ●Clinician sign-off with read-back logging
- ●Coding/billing in your existing queues
Legal & Professional
- ●Privilege and work-product boundaries first
- ●Matter/client/jurisdiction filing taxonomy
- ●Citation-grade memos with audit chain
E-commerce
- ●Inventory-aware answers — no phantom stock
- ●Claims grounded in your PIM, not model memory
- ●Cart/returns through systems you already run
For OpenClaw & Hermes Agents
Agents on autopilot routing
Hundreds of calls a day. One key. 100+ models. Zero agent refactor.
Install
install yieldingbear — any OpenClaw or Hermes session.
Key
Set YIELDINGBEAR_API_KEY. Routing is automatic.
Ship
Easy → cheap models. Hard → frontier. No prompt rewrites.
Real-world agent setups using Yielding Bear routing
OpenClaw agents
Discord ops, mobile builds, customer support
One env var. Every Discord reply, build log, and code review routes automatically.
Hermes agents
Deep research, multi-step investigations, code gen
Point Hermes at our endpoint. Lookups stay cheap; Claude/GPT only on the hard steps.
Example: A busy coding agent making 500K tokens/day
Direct OpenAI
$85/day
Via Yielding Bear
$19/day
Lower cost (illustrative)*
78%*
~$2,000/month per active agent (illustrative)*
Common questions
How does Yielding Bear work?
One API in front of 100+ LLMs. Easy tasks hit cheap fast models; hard reasoning hits frontier. One bill.
What is FDE vs a pre-built AI tool?
We map your real workflows, then ship into your repo — not a generic industry template. Pricing page covers engagement shapes.
Multiple API keys?
No. One Yielding Bear key. We handle credentials, retries, and failover.
What are guardrails?
Built-in safety filters on every call — injection, PII, harmful output. No extra latency tax.
Vs a single provider?
Flagship-only stacks overpay simple work. We route down when quality holds. Use the what-if calculator above.
Route every LLM call through one API
Free API key. No card. Route your first call in under a minute.
* The what-if calculator compares Yielding Bear's blended per-token rate against a single chosen provider at your stated volume. Results are illustrative — actual costs depend on your model mix, traffic patterns, and provider pricing. Not a guarantee of savings.