apollo
Apollo.io API for B2B prospecting and cold outreach automation. Use when user mentions "Apollo", "Apollo.io", "prospect", "cold email", "people search", "contact enrichment", "email sequence", or "outreach automation".
What this skill does
## Troubleshooting
If requests fail, run `zero doctor check-connector --env-name APOLLO_TOKEN` or `zero doctor check-connector --url https://api.apollo.io/api/v1/mixed_people/api_search --method POST`
## Authentication
All requests require an API key passed in the header:
```
x-api-key: $APOLLO_TOKEN
```
Get your API key from: Apollo dashboard → Settings → Integrations → API → Create API Key.
> **Note:** Adding contacts to sequences requires a **Master API Key** (not a standard key).
## Environment Variables
| Variable | Description |
|---|---|
| `APOLLO_TOKEN` | Apollo API key (standard or master) |
## Key Endpoints
Base URL: `https://api.apollo.io`
### 1. Search People
`POST /api/v1/mixed_people/api_search`
Find people by job title, company, industry, location, etc. **Does not return email addresses** — use Enrich to get emails.
```bash
curl -X POST https://api.apollo.io/api/v1/mixed_people/api_search \
-H "x-api-key: $APOLLO_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"page": 1,
"per_page": 25,
"person_titles": ["CEO", "Founder"],
"person_locations": ["United States"],
"organization_num_employees_ranges": ["1,50"]
}'
```
Key filter parameters:
- `person_titles` — job titles (array)
- `person_locations` — cities, states, or countries (array)
- `organization_num_employees_ranges` — e.g. `["1,50", "51,200"]`
- `q_keywords` — keyword search string
Response includes `people` array with `id`, `name`, `title`, `organization_name`, `linkedin_url`.
### 2. Search Organizations
`POST /api/v1/mixed_companies/search`
Find companies by industry, size, location, etc.
```bash
curl -X POST https://api.apollo.io/api/v1/mixed_companies/search \
-H "x-api-key: $APOLLO_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"page": 1,
"per_page": 25,
"organization_locations": ["San Francisco, CA"],
"organization_num_employees_ranges": ["1,50"],
"q_organization_keyword_tags": ["SaaS", "B2B"]
}'
```
### 3. Enrich a Person (get email)
`POST /api/v1/people/match`
Look up a specific person and retrieve their email. Consumes credits.
```bash
curl -X POST https://api.apollo.io/api/v1/people/match \
-H "x-api-key: $APOLLO_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"first_name": "Tim",
"last_name": "Cook",
"organization_name": "Apple",
"reveal_personal_emails": false
}'
```
Parameters:
- `first_name`, `last_name`, `organization_name` — used to match the person
- `linkedin_url` — alternative identifier (preferred when available)
- `reveal_personal_emails` — set `true` to include personal emails (uses more credits)
Response includes `person.email` and full contact details.
### 4. Bulk Enrich People
`POST /api/v1/people/bulk_match`
Enrich up to 10 people in one request.
```bash
curl -X POST https://api.apollo.io/api/v1/people/bulk_match \
-H "x-api-key: $APOLLO_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"details": [
{"first_name": "Alice", "last_name": "Smith", "organization_name": "Acme Corp"},
{"linkedin_url": "https://linkedin.com/in/bob-jones"}
]
}'
```
Max 10 items per request. Response is `matches` array, one per input.
### 5. Add Contacts to a Sequence
`POST /api/v1/emailer_campaigns/{sequence_id}/add_contact_ids`
Add contacts to an email sequence. **Requires Master API Key.**
```bash
curl -X POST "https://api.apollo.io/api/v1/emailer_campaigns/{SEQUENCE_ID}/add_contact_ids" \
-H "x-api-key: $APOLLO_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"contact_ids": ["CONTACT_ID_1", "CONTACT_ID_2"],
"emailer_campaign_id": "SEQUENCE_ID",
"send_email_from_email_account_id": "EMAIL_ACCOUNT_ID"
}'
```
To find sequence IDs, use `POST /api/v1/emailer_campaigns/search`.
## Common Workflows
### Full Cold Outreach Pipeline
```bash
# Step 1: Search for target people
curl -s -X POST https://api.apollo.io/api/v1/mixed_people/api_search \
-H "x-api-key: $APOLLO_TOKEN" \
-H "Content-Type: application/json" \
-d '{"person_titles": ["VP Sales"], "per_page": 10}'
# Step 2: Enrich to get email
curl -s -X POST https://api.apollo.io/api/v1/people/match \
-H "x-api-key: $APOLLO_TOKEN" \
-H "Content-Type: application/json" \
-d '{"first_name": "Jane", "last_name": "Doe", "organization_name": "Acme"}'
# Step 3: Add to sequence (requires Master API Key)
curl -s -X POST "https://api.apollo.io/api/v1/emailer_campaigns/$SEQUENCE_ID/add_contact_ids" \
-H "x-api-key: $APOLLO_TOKEN" \
-H "Content-Type: application/json" \
-d "{\"contact_ids\": [\"$CONTACT_ID\"], \"emailer_campaign_id\": \"$SEQUENCE_ID\"}"
```
### Find Sequences
```bash
curl -X POST https://api.apollo.io/api/v1/emailer_campaigns/search \
-H "x-api-key: $APOLLO_TOKEN" \
-H "Content-Type: application/json" \
-d '{"per_page": 25}'
```
## Notes
- People Search does **not** return emails — always follow up with Enrich
- Adding to sequences requires a **Master API Key** (Settings → Integrations → API → Master Key)
- Bulk enrichment: max 10 records per request
- Contact IDs used in sequences are created automatically when you enrich a person
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.