Compares model pricing and limits, parses documents, transcribes audio, redacts personal data, and reports what past calls cost.
13actions available
Every action runs live through MCP. Nothing to build, nothing to maintain.
Ayro sets up a dedicated vector storage space in APIpie for customer interaction data, enabling semantic search across conversations. This foundation powers knowledge-aware responses.
Ayro strips personally identifiable information from conversations before logging or analysis, protecting customer privacy automatically. This ensures compliance without manual redaction.
Ayro converts customer voice messages or call recordings into text that can be analyzed and responded to intelligently. This unlocks voice channel support instantly.
Each card is one request a support team gets, and the Apipie.ai actions Ayro runs to close it.
Ayro lists models filtered by type, subtype, or provider and returns pricing rates, token limits, modality support, benchmark scores, and country restrictions, checked against what earlier calls cost.
Ayro uploads the file, extracts text and metadata from a PDF, DOCX, or TXT through Apache Tika, and transcribes the recording to text with a speech model when the input arrived as audio.
Ayro creates a collection at the dimension its embedding model requires, lists the collections already on the account, and removes specific vector IDs or clears an index that is being rebuilt.
Ayro replaces names, phone numbers, and locations in a passage with truncated SHA-256 hashes, and sets or clears the app-level and user-level state that drives memory and routing.
How it works
Connect once, then just ask. There is no workflow builder to learn and nothing to maintain — Ayro reads the Apipie.ai actions it has and picks the ones a request needs.
Authorize the Apipie.ai account your team already uses — one consent screen, no API keys, no mapping tables. Ayro can only do what you granted that account, and you can disconnect it at any time.
Describe the job the way you would hand it to a teammate. Ayro maps it to the Apipie.ai actions that close it and chains as many as the request needs.
The agent runs the actions inside the conversation the customer is already in, so nobody copies data between tabs and your team can take over at any point.
Get started freeApipie.ai · Ayro
What can you do in Apipie.ai without me setting anything up?
These, right away:
Great, let's start with the first one.
FAQ
Setup, permissions, and the limits of what Ayro can do inside Apipie.ai.
Specific vector IDs, or everything at once. Delete Vectors takes a list of IDs, or delete_all set to true to clear the collection, which consumes credits. Deleting by metadata filter is not supported, so the IDs have to be known first.
All 13 actions your agent can call on Apipie.ai, straight from the live MCP connection.
Anonymize sensitive entities (PII) in text for data privacy and compliance.
Create a new vector collection (Pinecone-style index and namespace combined) in APIpie.
Delete state settings from APIpie.
Delete vectors from a vector collection in APIpie.
Fetch detailed information about available AI models including pricing, capabilities, and specifications.
Retrieve historic API usage logs including latency, token counts, costs, and source IP.
Retrieve current state settings including user preferences, memory configuration, and routing settings.
Fetch a list of available AI models from APIPie.
Retrieve a list of all vector collections under your account.
Parse document content and metadata using Apache Tika.
Transcribe audio files to text using AI speech-to-text models like Whisper.
Create or update state settings in APIpie, including configurations, deletions, and feature toggling at app or user levels.
Upload a file to APIPie and retrieve a temporary URL.
Same connection, same setup. Pick the next one your team already uses.
Reads the available voice catalogue, returning each voice_id, name, gender, and language, and narrows it to one language code on request.
Answers off-catalog questions with live web, news, retail, travel, and maps results, then fetches the source page behind the answer.
Estimates the gender most often associated with a first name, optionally scoped to a country code, from the name a workflow already holds.
Synthesizes speech in preset or custom voices, returns word-level timings for captions, and keeps the voice library and usage in check.
Finds models and reads their input schemas, runs and cancels predictions, manages deployments and hardware, and drives fine-tuning jobs.
Classifies incoming text into taxonomy categories, extracts named entities with confidence scores, and maintains the classifiers behind both.

Authorize the account and your agent has all 13 actions from the first conversation.
