Starts schema-driven research runs, builds and enriches FindAll entity lists, batches runs into task groups, and monitors queries on a cadence.
32actions available
Every action runs live through MCP. Nothing to build, nothing to maintain.
Ayro generates AI-powered responses in real-time to answer customer questions or draft content on the fly. This accelerates response times without human delay.
Ayro fetches the results of a background task so you know when scrapes, analyses, or batch jobs complete. This eliminates polling and keeps work flowing.
Ayro pulls relevant text from URLs to load context about a customer's site, competitor, or referenced article instantly. This enriches conversations with live data.
Each card is one request a support team gets, and the Parallel actions Ayro runs to close it.
Ayro drafts a task specification from a plain description of what you want, creates the run, and returns the finished result against the schema you asked for rather than a page of prose.
Ayro turns a natural-language objective into a FindAll specification, starts the run with its match conditions and exclusions, and fetches the matched and unmatched candidates when it settles.
Ayro creates a task group, launches many runs inside it in parallel, and streams the group's runs back with their inputs and outputs so a hundred-row research job is tracked as one job.
Ayro sets up a monitor that re-runs a query on a chosen cadence, reads back the errors and material changes it has recorded, and adjusts the cadence or webhook target when the brief moves.
How it works
Connect once, then just ask. There is no workflow builder to learn and nothing to maintain — Ayro reads the Parallel actions it has and picks the ones a request needs.
Authorize the Parallel 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 Parallel 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 freeParallel · Ayro
What can you do in Parallel 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 Parallel.
Not unless you want it to. Create Task Run returns straight away with the run in a queued state, Retrieve Task Run blocks nothing and just reports status, and Retrieve Task Run Result is the call that waits for completion. Stream Task Run Events gives progress updates in between, so Ayro can report back partway through.
All 32 actions your agent can call on Parallel, straight from the live MCP connection.
Add an enrichment to a FindAll run.
Initiate multiple task runs within a TaskGroup.
Cancel an active FindAll run by findall_id.
Get realtime chat completions from Parallel AI.
Create a web monitor that periodically runs the specified query.
Create a new task group.
Create and initiate a task run.
Delete a monitor, stopping all future executions.
Extend a FindAll run by adding additional matches to the current match limit.
Extract relevant content from specific web URLs.
Retrieve task runs from a Task Group as a resumable stream.
Start a FindAll run.
Fetch the final (or latest available) FindAll candidates and result payload for a run.
Retrieve the schema configuration of a FindAll run by findall_id.
Transform a natural language search objective into a structured FindAll specification.
List events for a monitor from up to the last 300 event groups.
List active monitors for the user.
Retrieve an event group for a monitor.
Retrieve status and metadata for a FindAll run by findall_id.
Retrieve a specific monitor by ID.
Retrieve details of a specific task group.
Retrieve run status by run_id for a task group.
Retrieve run status by run_id.
Retrieve the input data of a specific task run by run_id.
Retrieve the result of a task run by run_id, blocking until the run completes.
Perform parallel semantic search.
Simulate sending an event for a monitor.
Stream events from a FindAll run.
Stream events for a Task Group.
Stream events for a Task Run.
Same connection, same setup. Pick the next one your team already uses.
Anonymizes whole packets or named fields, recovers plaintext with a private key, and checks the API is reachable first.
Queries Genie in natural language, submits and cancels job runs, publishes Lakeview dashboards, and manages security group membership.
Triggers project runs, reports run status and rendered charts, edits draft cells, and keeps workspace collections and sharing tidy.
Reads a forest's CO2 captured and tree counts, lists the active planting projects behind them, and onboards users to a plantation account.
Verifies numbers in real time or in bulk, scores fraud risk, checks Do Not Call and reassignment status, and validates email deliverability.
Searches the web, parses a linked page, maps or crawls a site, and reports credit consumption endpoint by endpoint.

Authorize the account and your agent has all 32 actions from the first conversation.
