Actionist·Agent700 Agent
Agent700 Agent

Agent700 Agent

· #282 most-used

Deploy trusted AI agents with context-aware intelligence and enterprise-grade governance

ProductivityDeveloperAISecurityAutomation

Agent700 is a trusted AI agent platform that lets organizations create, deploy, and manage AI agents with alignment data and contextual intelligence. Connect it to Actionist and your agents can send messages to any Agent700 agent, manage encrypted key/value context entries, build dynamic JSON context from templates, and run batch processing pipelines — all using App Password authentication with no manual token handling. Whether you need one-off Q&A, URL evaluation, compliance analysis, or multi-step content workflows, Agent700 keeps every interaction grounded in your organization's knowledge.

Try Agent700 Agent with ActionistVisit Agent700 Agent
Average time saved
7 hours
per person · per month
≈ 1 workdays back

Eliminates manual work. Agents eliminate the manual cycle of researching context, drafting prompts, copying outputs, and maintaining knowledge bases — replacing each with a structured agent task that runs without human input.

Schedule

What your Agent700 Agent agent runs on autopilot

A week of scheduled jobs your Actionist agent will execute on your behalf.

28Scheduled jobs
7Agents at work
24/7Always on
Agents
Tue–Thu
Tue
Wed
Thu
7a
8a
9a
10a
11a
12p
1p
2p
3p
4p
5p
6p
Multi-app workflows

Agent700 Agent × every other app you use

End-to-end automations that span multiple apps — each one a real business outcome.

6Workflows
8Apps spanned
~56 hrsSaved / week
6Personas served
For sales
Featured3 apps

New prospect auto-qualified before first outreach

When a new lead is created in HubSpot, the agent retrieves the company's industry and size context from the Context Library, constructs a structured qualification brief, sends it to Agent700 for ICP fit-scoring, writes the fit-score back to the HubSpot deal, and posts a one-line summary to the rep's Slack DM — so the first outreach message references the agent's analysis rather than a blank profile.

~10 hrs

Time saved for your team — every week, on autopilot

The flow
Trigger·When a new lead record is created in HubSpot
Trigger
Step 1
HubSpot
Detect new lead record created
read
Step 2
Agent700 Agent
Query context entries for industry and ICP criteria
write
Step 3
Agent700 Agent
Send company description to Agent700 for ICP fit-scoring
write
Step 4
HubSpot
Write fit-score and qualification notes to HubSpot deal record
write
Step 5
Slack
Post one-line qualification summary to rep's Slack DM
Result
Send company description to Agent700 for ICP fit-scoringWrite fit-score and qualification notes to HubSpot deal recordPost one-line qualification summary to rep's Slack DM
The win
Saved per run
20 min
Runs / week
~30×
Every new lead is qualified before the first call, not during it
Driven bySales Agent
ROI

Savings

What your team gets back — two angles: what you stop doing manually, and what that's worth.

Without Actionist

What you do manually today

With Actionist

What your agent runs for you

  • Sales
    25 min / week
    Manual prospect qualification before outreach

    Reps manually research each new prospect, compare against ICP criteria from memory or a static doc, and write qualification notes by hand — 15-20 minutes per lead before any outreach.

    Sales Agent
    0 min
    Agent qualifies prospects automatically using context-grounded analysis

    When a new lead is created, the agent retrieves ICP context from the Context Library, sends the company description to Agent700 for fit-scoring, and writes the result to the CRM deal record before the rep sees the lead.

  • Marketing
    20 min / week
    Manual content review and prioritization

    The content team manually reviews each draft against audience personas stored in a static brief doc, then builds a priority ranking spreadsheet — a 2-hour meeting with inconsistent outputs.

    Marketing Agent
    0 min
    Agent scores content drafts against current audience context

    The marketing agent sends draft content to Agent700 weekly for audience-fit and SEO scoring, drawing on current audience context entries — the ranked list is ready before the editorial meeting.

  • Customer Support
    30 min / week
    Manual ticket research and response drafting

    Support agents manually look up the customer's account history and plan tier in the CRM before drafting each response — adding 8-12 minutes to every ticket that requires account context.

    Customer Support Agent
    0 min
    Agent drafts context-personalized ticket responses automatically

    For each incoming ticket, the support agent retrieves the customer's context entries and sends them with the ticket body to Agent700, injecting a personalized response draft into the ticket before the support agent opens it.

  • Human Resources
    60 min / week
    Manual CV screening before shortlisting

    HR manually reads each application, compares against the job spec, and assembles a shortlist in a spreadsheet — typically 3-5 minutes per CV, adding up quickly on high-volume roles.

    Human Resources Agent
    0 min
    Agent batch-screens candidates against role context automatically

    When a batch of applications arrives, the HR agent runs all CV summaries through Agent700 with role-specific context and writes ranked fit-scores to the ATS — the hiring manager receives a scored shortlist.

  • Finance
    15 min / week
    Manual quota monitoring and invoice reconciliation

    Finance manually checks the Agent700 usage dashboard each week, compares against the plan limit, and reconciles the month-end invoice by hand — risking quota surprises and billing disputes.

    Finance Agent
    0 min
    Agent monitors quota usage and prevents mid-run batch failures

    Before each batch job, the finance agent checks Agent700 account usage stats and defers jobs that would breach the quota — no batch fails mid-run and invoices are reconciled automatically.

  • Operations
    35 min / week
    Manual knowledge base curation and reporting

    Operations manually reviews each knowledge entry in the AI platform, updates outdated content, deletes stale records, and assembles a usage report from dashboard screenshots — 2+ hours of weekly admin.

    Operations Agent
    0 min
    Agent keeps the Context Library current on a weekly schedule

    The operations agent audits, updates, and prunes Context Library entries each week — stale entries deleted, outdated policy entries updated, and usage reports posted to leadership without manual intervention.

  • Legal
    45 min / week
    Manual contract compliance pre-screening

    Legal staff manually read each incoming contract, check clauses against a regulatory checklist, and annotate risk areas before the formal review — typically 45-90 minutes per contract on routine screening.

    Legal Agent
    0 min
    Agent screens contracts for compliance before human review begins

    When a contract is uploaded, the legal agent constructs a jurisdiction-specific regulatory context payload and sends it with the contract to Agent700 for clause-by-clause screening — flagged clauses are returned with annotations before any human reads the document.

+ 100s of other Agent700 Agent automations
Average time saved
23 hrs / person / month
Calculator

Calculate what your team saves

Team size
5 people
Hourly rate
$75 / hr
Hours saved / week
9
Hours saved / year
450
Annual ROI
$33,750

Based on Agent700 Agent's typical team usage — the visible tasks plus a few other automations the agent runs: ~1.8 hrs / person / week of admin work automated.

Connect

How to plug Agent700 Agent into Actionist

Pick the connection method that suits your environment.

Authenticate with an Agent700 App Password (format: app_a7_ + 32 characters). Passwords are scoped and revocable in the Agent700 dashboard — no short-lived tokens to rotate.

1
Open Agent700 Settings

Log in to agent700.ai, navigate to Settings, and open the App Passwords section.

2
Create an App Password

Click 'New App Password', give it a name (e.g. 'Actionist'), choose the scopes you need, and copy the generated password (format: app_a7_ + 32 characters). Store it securely.

3
Paste into Actionist

Enter your Base URL (leave as https://api.agent700.ai unless self-hosted) and paste your App Password. Actionist runs a test call to confirm the handshake.

Credentials you'll need
Base URL
Default: https://api.agent700.ai — override only if self-hosting or using a custom endpoint.
App Password*
Generate in Agent700 UI → Settings → App Passwords. Format: app_a7_ followed by 32 characters.
Actions

14 actions your agent can call

Read and write operations available to your Actionist agent.

Triggers

0 events your agent can react to

Events your agent watches for, and the actions it kicks off in response.

This app has no triggers yet.
FAQs

Questions about Agent700 Agent + Actionist

How does Actionist connect to Agent700?
Go to the Apps tab, find Agent700 Agent, and click Connect. You'll provide two values: your Base URL (default https://api.agent700.ai — leave unchanged unless you're self-hosting) and an App Password generated in the Agent700 dashboard under Settings → App Passwords. App Passwords follow the format app_a7_ + 32 characters. Actionist stores the credential encrypted and runs a test call to confirm the handshake before any agent tasks run. You can create multiple App Passwords with different scopes — for example, a read-only password for audit workflows and a write-capable password for context management tasks.
What is the Agent700 Context Library and why does it matter for my workflows?
The Context Library is Agent700's encrypted key/value store for organizational knowledge — think of it as the memory layer that makes your agents context-aware rather than generic. You store entries like customer preferences, policy versions, competitor intelligence, and domain-specific rules in the library, and agent calls automatically draw on that stored context when crafting responses. Without the Context Library, every agent call starts from scratch using only the message text; with it, the agent already knows your customer's plan tier, your current privacy policy wording, or your regional compliance rules. Actionist can create, update, upsert, delete, and query Context Library entries on any schedule or trigger — so the library stays current without manual curation.
Can I run the same Agent700 agent on multiple inputs in one workflow run?
Yes — use the Run Batch Agent Messages action. It accepts a list of inputs (CV summaries, contract texts, URLs, data records) and sends each to the specified Agent700 agent in sequence, with configurable error handling and 'continue on fail' behavior. Results return as a structured list, one item per input, ready to write back to a spreadsheet or database. Batch processing is the right pattern for screening pipelines, content scoring queues, URL audits, and any task where you have a list of similar items to analyze — it avoids running a separate workflow per item and keeps the results together for downstream aggregation.
How do I make sure Agent700 responses reference my organization's current knowledge rather than outdated training data?
The answer is the Context Library, kept current by your Actionist agents. Whenever source-of-truth data changes — a policy is revised in Notion, a customer's plan tier changes in HubSpot, a new regulation is published — your agent upserts or updates the corresponding Context Library entry. Agent700 agent calls that reference those entries then automatically reflect the updated content. This is fundamentally different from retraining or fine-tuning: context updates propagate to agent responses within about a minute of the context entry being written, with no model rebuild cycle. For compliance-critical knowledge like regulatory rules or privacy policies, scheduling a weekly context audit (List Context Entries → Update Context Entry) ensures no stale entry slips through.
What happens to my data in Agent700 — does it leave my organization?
Agent700 connects to AI providers (such as OpenAI and Google) with a zero-data-retention policy, meaning your messages and context data are not used to train the underlying models. All context entries in the Context Library are encrypted at rest. App Passwords can be scoped to only the permissions a given workflow needs and revoked at any time from the Agent700 dashboard without affecting other integrations. Actionist stores your App Password encrypted in its credential vault and never logs the credential value. For teams with strict data-residency requirements, Agent700 supports a self-hosted Base URL configuration, so traffic does not leave your own infrastructure.
How do I handle GDPR or other data-erasure obligations for context entries?
Use the Query Context Entries by Pattern action followed by Delete Context Entry in your erasure workflow. When a right-to-erasure request arrives, your agent queries the Context Library for all entries keyed to the data subject's ID (for example, using the pattern 'customer/{id}/*') and deletes each matching entry. Actionist logs each deletion action with timestamp and the workflow that triggered it, giving you an audit trail for compliance documentation. For departments with regular offboarding or data-retention schedules, a weekly scheduled agent task — query for entries matching a retention-period condition, delete stale entries, log results — is the standard pattern. No entries are hard to find as long as you follow a consistent key-naming convention when creating them.
How do I prevent my Agent700 plan quota from being exhausted by batch jobs?
Use the Get Account Usage Stats action as a pre-flight check before any batch job runs. Your agent retrieves the current consumption figure, compares it against the plan limit, and either proceeds or defers the job and notifies the operations team. For ongoing visibility, schedule a weekly Get Account Usage Stats call that writes the consumption figure to a finance spreadsheet and posts a pacing alert to Slack if consumption is above pace for the billing period. For month-end reconciliation, the weekly figures accumulated in the spreadsheet can be compared against the Agent700 invoice — any quantity discrepancy is flagged for accounts-payable before the payment run.
Can I use different Agent700 agents for different departments in the same Actionist setup?
Yes — Agent700 supports multiple agents in one account, each with its own ID, capability scope, and data-access permissions. In Actionist, every Send Message to Agent or Run Batch Agent Messages call specifies the agent ID, so different workflows can target different agents: a compliance-scoped agent for legal contract review, a sales-focused agent for prospect qualification, an HR-scoped agent for CV screening. Use the List Available Agents action to retrieve all agents in your account and verify IDs before wiring them into workflows. The Get Agent Details action lets you confirm each agent's configuration — including its PII filtering and data-access scope — before routing sensitive tasks to it.