LLM & Agent Solutions/Function Calling

Tool-Use Training Data,
Built to Your Schema

We author function-calling examples, label correct invocations, and test whether your agents pick the right tool with valid arguments — including the negative cases that teach an agent to stop.

Excellent
Trustpilot
Function Calling / delivery
live
27,300
calls labelled
98.7%
QA pass rate
5 days
batch turnaround
Batch queueweek 6 of 8
  1. B-114
    Schema authoring99.1% QA
    delivered
  2. B-115
    Call labelling98.6% QA
    delivered
  3. B-116
    Negative cases74%
    in qa
  4. B-117
    Arg validation38%
    running
next delivery Thu 09:00spec v4 · signed off

One place to find our delivery team who understand tool-use workflows and can deliver schema-valid training data.

Technical Vetting

Pre-screened for structured outputs, schema accuracy, and agent workflow experience

Any Stack

Work in your agent framework, eval platform, or custom tooling

Domain Expertise

Real experience with APIs in finance, healthcare, e-commerce, and more

/ ALL-IN-ONE

One Team Running Your Function Calling End to End

One programme, run end to end, creating tool-use training data, labels correct function calls, and evaluates whether your agents behave reliably in production.

End-to-End Delivery for Function Calling

Our delivery team with structured output experience across enterprise APIs, agentic workflows, and domain-specific tools. Managed and ready for your projects.

Function Calling — batches in flight
Batch B-08
Batch B-08
Agentic Workflows • Error Recovery
99.4% QA
Available
Batch C-02
Batch C-02
Computer Use • Browser Automation
98.8% QA
Available
Batch C-03
Batch C-03
API Orchestration • Multi-tool Chains
97.6% QA
Available
Start Tool Use QA Delivery

Work Happens in Your Stack

Our delivery team operate inside your agent framework, eval platform, or custom tooling. You control access. Your data stays where it is.

Your Function Calling Evaluation Workspace
Tools: Label Studio, Your Custom Tool
Batch D-11
Agentic Tool Use • Task Planning
Invite to Tool
Batch D-12
Browser Actions • Web Agents
Invite to Tool
Start Tool Use QA Delivery

Communicate and Manage Work

Share schemas, tool definitions, and guidelines with your team using built-in tools. No need for separate docs or chat apps.

Function Calling Evaluation Project
Project Instructions
Embedded Utilities
Project Channel
20 Members
Check the nested function parameters...
Start Tool Use QA Delivery

Secure Global Payments and Transparent Pricing

Pay our delivery team in any country from a single dashboard. You set the rates, we add a small fixed fee on top. No hidden costs, no chasing invoices.

12 Function Calling Evaluation Hours
Milestone 2 — Week of Jun 10
98.4% QA
Milestone progress
75%
Release $480.00
Start Tool Use QA Delivery

Start Function Calling Evaluation Delivery

Any LLM/Eval Tooling
Assign All Function Calling Evaluation Workstreams
/ WHY REINFORCEDX

Scale Function Calling Data With a Global Network of our delivery team

Every batch is reviewed before it reaches you. You get a shortlist of qualified our delivery team ready to start working in your tools. What we deliver:

Tool selection: labeling truth models on when and which function to call
Argument annotation with schema-valid parameters and correct formatting
Multi-step trace review for complex agent workflows and tool chains
Error recovery examples when tools fail, return empty, or hit edge cases
Domain-specific tool use across finance, healthcare, e-commerce, enterprise IT, and more
/ HOW IT WORKS

How ReinforcedX Works for
Function Calling

Scope a project, commission qualified our delivery team, and manage everything from one platform. Your data and tools stay exactly where they are.

/ 01

Scope Your Project and Get a Scope and Quote

Describe your tools, schemas, and workflow requirements. Receive proposals from our delivery team who have already been screened for structured output work and agent experience.

/ 02

We Work In Your Tooling

We agree the spec, then run delivery inside your agent framework, eval platform, or custom tooling.

/ 03

Communicate and Pay in One Place

Share instructions, message your team, and handle global payments from a single dashboard.

Post Your Function
Calling Job Now

Send us a sample batch and we will come back with a spec and a quote.

Large Project? We
Can Help.

A standing programme, run end to end, for continuous or large-volume work.

/ METRICS

How Teams Scale Function Calling Data

Specialists with structured output experience and domain expertise, ready to build the training data your agents need to work reliably.

60K+
specialists on our delivery bench
50+
professional domains and API categories
24 hrs
avg. time from job post to production start
/ GET STARTED

Start Building Your Function Calling Team Today

Send us your first batch and get managed our delivery team who have the structured output experience and technical depth your project requires.

Function Calling Evaluation Workspace

Active workstreams
83
Projects Completed
24
Batches in review
3
Track delivery
Project Tools:
Label Studio
Argilla
Your Custom Tool
Batch A-14 ReinforcedX
Multi-step Agents • Validation
Australia
Batch A-15 ReinforcedX
API Chains • Error Handling
United Kingdom
/ INTEGRATIONS

Deliver for Any Function Calling Tool

Deliver our delivery team on ReinforcedX, then invite them to any third-party platform or your own custom tooling.

Batch B-07
Text
Batch B-08
Multimodal
Label Studio
Multimodal
Batch C-02
Programmatic
Batch C-03
Multimodal
Snorkel AI
Programmatic
Datasaur
Text
Your Custom Tool
Custom
/ FAQ

FAQs About Function Calling

Everything you need to know about finding specialists for tool-use and agent evaluation.

What types of function calling work can our delivery team handle?

Our trainers can handle tool selection labeling, parameter extraction, schema validation, multi-step agent reasoning, and error recovery scenario creation.

How are our delivery team quality-gated for function calling projects?

Every batch must pass a rigorous assessment testing their understanding of structured outputs, JSON schema, and multi-step agent logic.

What tools or platforms can our delivery team work in?

They can work in any tool you use, whether it's an annotation platform like Label Studio or your own custom internal evaluation harness.

Can our delivery team handle complex multi-step agent workflows?

Yes. We have senior specialists experienced in tracing and labeling long-running agentic workflows across multiple tools and APIs.

How does pricing work for function calling projects?

Pricing is typically hourly and depends on the complexity of the domain and the level of expertise required. You set the rates.

What is the difference between direct-commission and managed service?

Direct commission lets you manage ongoing programmes yourself, while Managed Service provides a dedicated team managed by ReinforcedX from end-to-end.
/ GET STARTED

Join the #1 Platform for AI Delivery

Three ways to work with us, from a single batch to a standing programme.

Self-Service

Scope Your Project

Send us the spec and we scope the work, agree the quality bar, and start delivering. We run inside the tools you already use, so output lands where your team works.

For Large Projects
Managed Service

Done-for-You

We staff, run, and QA the whole programme inside your tools. End-to-end operations for large or complex projects.

For Ongoing programmes

Join as an delivery lead

Keep a standing delivery pipeline running against your roadmap, with quality reported every week.

FAQ

Working with us

How soon can function calling work start?

Typically within a week or two of a scope being agreed. The first delivery is deliberately a small batch so you can check the output against your expectations before volume ramps.

What do you need from our team?

One process owner who knows the workflow, one engineer with access to the systems involved, and a weekly 45-minute review. No standing committee, and no requirement for an ML specialist on your side.

Who owns the output and the data?

You do. Datasets, labels, weights, evaluation suites and runbooks are yours and are handed over at the end. Your data trains your models only, with zero-retention provider settings by default.

Can you scale volume up quickly if we need it?

Yes, and the quality bar holds because the rubric and gold set are already agreed by that point. Ramping is a staffing question, not a re-scoping one, so it usually takes days rather than a new engagement.

We already have a vendor for this. Why switch?

Often you should not. The cases where teams move to us are when they cannot get a quality number out of their current vendor, or when the work is delivered as an opaque batch with no trace of how disagreements were resolved.

What happens after the engagement ends?

We stay on-call for 30 days at no extra cost, then move to an optional support retainer. Most teams also keep a quarterly evaluation review with us to catch drift early.

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