handel.halowerk.com

HALOWERK provides paid endpoints that AI agents call and pay for per request via x402 on Base. No account, no API key, no signup.

SearchLiveeip155:8453Exactvia cdp
Calls · 30d
1→ 0%
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 26 snapshots so far.
$11.48
Verified settled volume
2,657 settlements proven x402 by their on-chain EIP-3009 marker.
$0.0050
Listed price
As published in the catalog. Always read the live 402 before paying.
1
Calls · 30d
Upstream's own call count for this endpoint, not ours.
1
Unique payers · 30d
Last called 2026-08-20 06:44Z
—
Upstream on-chain volume
Reported by the source catalog.
Paid to
0x2880EdfFF13100677Bf97A3CBdF3Bc34771C4E5E

The wallet the 402 directs payment to. Its whole payment record — every payer, every chain — is on the merchant page.

Asset 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913

Provider

The payTo wallet does not resolve to a registered ERC-8004 agent. That is not a verdict on the service — most of the catalog is unregistered.

Live 402 challenge

Captured by the enrichment pass, not read just now. Prices can change — always read the 402 the endpoint answers with.

{
  "docs": "https://handel.halowerk.com/llms.txt",
  "name": "price_elasticity",
  "error": "payment_required",
  "accepts": [
    {
      "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
      "extra": {
        "name": "USD Coin",
        "asset": "USDC",
        "version": "2",
        "eip712Domain": {
          "name": "USD Coin",
          "chainId": 8453,
          "version": "2",
          "verifyingContract": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913"
        },
        "network_name": "Base Mainnet",
        "assetTransferMethod": "eip3009"
      },
      "payTo": "0x2880EdfFF13100677Bf97A3CBdF3Bc34771C4E5E",
      "amount": "5000",
      "scheme": "exact",
      "network": "eip155:8453",
      "maxTimeoutSeconds": 300
    }
  ],
  "pricing": "https://handel.halowerk.com/pricing",
  "resource": {
    "url": "https://handel.halowerk.com/v1/price-elasticity",
    "mimeType": "application/json",
    "description": "Fits a constant-elasticity demand curve to the price and sales series you supply and returns the elasticity with its standard error, t statistic, two-sided p value and a Student t confidence interval, not a normal one, because at eight observations the difference in interval width is double-digit percent and a too narrow interval is exactly the kind of number a machine reuses unchecked."
  },
  "extensions": {
    "bazaar": {
      "info": {
        "input": {
          "body": {
            "currency": "EUR",
            "unit_cost": 11.5,
            "price_grid": [
              19.9,
              21.9,
              23.9,
              25.9,
              27.9
            ],
            "observations": [
              {
                "price": 24.9,
                "units_sold": 412,
                "period_start": "2026-01-05"
              },
              {
                "price": 22.9,
                "units_sold": 503,
                "period_start": "2026-01-12"
              },
              {
                "price": 26.9,
                "units_sold": 341,
                "period_start": "2026-01-19"
              },
              {
                "price": 19.9,
                "units_sold": 688,
                "period_start": "2026-01-26"
              },
              {
                "price": 24.9,
                "units_sold": 431,
                "period_start": "2026-02-02"
              },
              {
                "price": 29.9,
                "units_sold": 262,
                "period_start": "2026-02-09"
              },
              {
                "price": 21.9,
                "units_sold": 559,
                "period_start": "2026-02-16"
              },
              {
                "price": 27.9,
                "units_sold": 301,
                "period_start": "2026-02-23"
              },
              {
                "price": 23.9,
                "units_sold": 470,
                "period_start": "2026-03-02"
              },
              {
                "price": 18.9,
                "units_sold": 742,
                "period_start": "2026-03-09"
              }
            ],
            "confidence_level": 0.95
          },
          "type": "http",
          "method": "POST",
          "bodyType": "json"
        }
      },
      "schema": {
        "type": "object",
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "required": [
          "input"
        ],
        "properties": {
          "input": {
            "type": "object",
            "required": [
              "type",
              "method",
              "bodyType",
              "body"
            ],
            "properties": {
              "body": {
                "type": "object",
                "required": [
                  "observations"
                ],
                "properties": {
                  "currency": {
                    "type": "string",
                    "default": "EUR",
                    "maxLength": 3,
                    "minLength": 3,
                    "description": "ISO 4217 code for every amount in this request. Not converted, only carried through."
                  },
                  "unit_cost": {
                    "type": "number",
                    "maximum": 100000000,
                    "minimum": 0,
                    "description": "Variable cost per unit. Required for the contribution-optimal price; without it only the elasticity is returned."
                  },
                  "price_grid": {
                    "type": "array",
                    "items": {
                      "type": "number",
                      "maximum": 100000000,
                      "exclusiveMinimum": 0
                    },
                    "maxItems": 200,
                    "description": "Candidate prices to evaluate with predicted units and contribution. Evaluated at the fitted model, in the order you give them."
                  },
                  "observations": {
                    "type": "array",
                    "items": {
                      "type": "object",
                      "required": [
                        "price",
                        "units_sold"
                      ],
                      "properties": {
                        "price": {
                          "type": "number",
                          "maximum": 100000000,
                          "description": "Selling price in that period. Must be positive: the estimation is on logarithms.",
                          "exclusiveMinimum": 0
                        },
                        "promotion": {
                          "type": "boolean",
                          "default": false,
                          "description": "Whether the period was a promotion. Enters the fit as a separate indicator when include_promotion is true, so that a campaign is not attributed to the price."
                        },
                        "units_sold": {
                          "type": "number",
                          "maximum": 1000000000,
                          "minimum": 0,
                          "description": "Units sold at that price. A zero cannot enter a log-log fit and is excluded, reported and never silently dropped."
                        },
                        "period_start": {
                          "type": "string",
                          "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
                          "description": "Optional period label as YYYY-MM-DD, passed through unchanged."
                        },
                        "competitor_price": {
                          "type": "number",
                          "maximum": 100000000,
                          "description": "Competitor price in that period. Only used when include_competitor_price is true; you bring the figure, nothing is looked up.",
                          "exclusiveMinimum": 0
                        }
                      },
                      "additionalProperties": false
                    },
                    "maxItems": 2000,
                    "minItems": 4,
                    "description": "Your own price and sales history for one SKU. Every amount is in the currency named at document level."
                  },
                  "confidence_level": {
                    "enum": [
                      0.8,
                      0.9,
                      0.95
                    ],
                    "type": "number",
                    "default": 0.95,
                    "description": "Confidence level for the elasticity interval. Student t, not normal."
                  },
                  "include_promotion": {
                    "type": "boolean",
                    "default": false,
                    "description": "Whether to add the promotion indicator as a regressor."
                  },
                  "include_competitor_price": {
                    "type": "boolean",
                    "default": false,
                    "description": "Whether to add the log competitor price as a second regressor and report the cross-price elasticity. Every observation must then carry competitor_price."
                  }
                },
                "additionalProperties": false
              },
              "type": {
                "type": "string",
                "const": "http"
              },
              "method": {
                "enum": [
                  "POST",
                  "PUT",
                  "PATCH"
                ],
                "type": "string"
              },
              "bodyType": {
                "enum": [
                  "json",
                  "form-data",
                  "text"
                ],
                "type": "string"
              }
            },
            "additionalProperties": false
          }
        }
      }
    }
  },
  "price_usdc": "0.005",
  "description": "Fits a constant-elasticity demand curve to the price and sales series you supply and returns the elasticity with its standard error, t statistic, two-sided p value and a Student t confidence interval, not a normal one, because at eight observations the difference in interval width is double-digit percent and a too narrow interval is exactly the kind of number a machine reuses unchecked. The competitor price can be added as a second regressor, giving the cross-price elasticity, and a promotion indicator can be added so that a campaign is not attributed to the price; in both cases you bring the figures and nothing is looked up. From the fitted elasticity the contribution-optimal price follows in closed form as unit cost times b over one plus b, and it is also evaluated at both ends of the confidence interval so the answer comes as a range rather than a false decimal. Where the elasticity is greater than minus one there is no interior optimum, and where it comes out positive the model says demand rises with price; in both cases the optimal price is returned as null with the reason stated instead of a number. An observation with zero units cannot enter a log fit; it is excluded, counted and named. If your price barely moved across the series the estimate rests on noise, and the price variation is measured and flagged rather than left for the caller to notice. A price grid you supply is evaluated at the fitted model with predicted units and contribution per candidate. This measures a relationship in observational data and never asserts a cause: it does not know your competitors, it does not look up market prices, it does not model stock-outs, cannibalisation or reference-price effects, and it stores nothing between calls.",
  "inputSchema": {
    "type": "object",
    "required": [
      "observations"
    ],
    "properties": {
      "currency": {
        "type": "string",
        "default": "EUR",
        "maxLength": 3,
        "minLength": 3,
        "description": "ISO 4217 code for every amount in this request. Not converted, only carried through."
      },
      "unit_cost": {
        "type": "number",
        "maximum": 100000000,
        "minimum": 0,
        "description": "Variable cost per unit. Required for the contribution-optimal price; without it only the elasticity is returned."
      },
      "price_grid": {
        "type": "array",
        "items": {
          "type": "number",
          "maximum": 100000000,
          "exclusiveMinimum": 0
        },
        "maxItems": 200,
        "description": "Candidate prices to evaluate with predicted units and contribution. Evaluated at the fitted model, in the order you give them."
      },
      "observations": {
        "type": "array",
        "items": {
          "type": "object",
          "required": [
            "price",
            "units_sold"
          ],
          "properties": {
            "price": {
              "type": "number",
              "maximum": 100000000,
              "description": "Selling price in that period. Must be positive: the estimation is on logarithms.",
              "exclusiveMinimum": 0
            },
            "promotion": {
              "type": "boolean",
              "default": false,
              "description": "Whether the period was a promotion. Enters the fit as a separate indicator when include_promotion is true, so that a campaign is not attributed to the price."
            },
            "units_sold": {
              "type": "number",
              "maximum": 1000000000,
              "minimum": 0,
              "description": "Units sold at that price. A zero cannot enter a log-log fit and is excluded, reported and never silently dropped."
            },
            "period_start": {
              "type": "string",
              "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
              "description": "Optional period label as YYYY-MM-DD, passed through unchanged."
            },
            "competitor_price": {
              "type": "number",
              "maximum": 100000000,
              "description": "Competitor price in that period. Only used when include_competitor_price is true; you bring the figure, nothing is looked up.",
              "exclusiveMinimum": 0
            }
          },
          "additionalProperties": false
        },
        "maxItems": 2000,
        "minItems": 4,
        "description": "Your own price and sales history for one SKU. Every amount is in the currency named at document level."
      },
      "confidence_level": {
        "enum": [
          0.8,
          0.9,
          0.95
        ],
        "type": "number",
        "default": 0.95,
        "description": "Confidence level for the elasticity interval. Student t, not normal."
      },
      "include_promotion": {
        "type": "boolean",
        "default": false,
        "description": "Whether to add the promotion indicator as a regressor."
      },
      "include_competitor_price": {
        "type": "boolean",
        "default": false,
        "description": "Whether to add the log competitor price as a second regressor and report the cross-price elasticity. Every observation must then carry competitor_price."
      }
    },
    "additionalProperties": false
  },
  "price_model": "per_call",
  "x402Version": 2,
  "instructions": "Sign the accepted terms with an x402 client and repeat the request with the payment header.",
  "payment_header": "PAYMENT-SIGNATURE",
  "capability_request": {
    "url": "https://bedarf.halowerk.com/capabilities/request",
    "cost": "free",
    "method": "POST",
    "description": "Missing a capability, or does the scope not fit? Report the need here - no payment required. Similar reports are bundled; the response returns an id you can check back on.",
    "body_example": {
      "max_price": 0.01,
      "description": "what exactly is needed",
      "requested_capability": "short label"
    }
  }
}

Accepts

The payment requirements as published to the catalog. Read the live 402 before paying — a price here is a claim, not a quote.

0.005USDC≈ $0.005 USD
on Base · exact scheme

Pay 0.005 USDC on Base to 0x2880…C4E5E. The signed payment is good for 5 minutes.

USD Coin contract
0x8335…02913
Payment window
5 minutes
As published
5000 smallest units
The catalog’s raw entry
[
  {
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "extra": {
      "name": "USD Coin",
      "asset": "USDC",
      "version": "2",
      "eip712Domain": {
        "name": "USD Coin",
        "chainId": 8453,
        "version": "2",
        "verifyingContract": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913"
      },
      "network_name": "Base Mainnet",
      "assetTransferMethod": "eip3009"
    },
    "payTo": "0x2880EdfFF13100677Bf97A3CBdF3Bc34771C4E5E",
    "amount": "5000",
    "scheme": "exact",
    "network": "eip155:8453",
    "maxTimeoutSeconds": 300
  }
]

Extensions

{
  "bazaar": {
    "info": {
      "input": {
        "body": {
          "currency": "EUR",
          "unit_cost": 11.5,
          "price_grid": [
            19.9,
            21.9,
            23.9,
            25.9,
            27.9
          ],
          "observations": [
            {
              "price": 24.9,
              "units_sold": 412,
              "period_start": "2026-01-05"
            },
            {
              "price": 22.9,
              "units_sold": 503,
              "period_start": "2026-01-12"
            },
            {
              "price": 26.9,
              "units_sold": 341,
              "period_start": "2026-01-19"
            },
            {
              "price": 19.9,
              "units_sold": 688,
              "period_start": "2026-01-26"
            },
            {
              "price": 24.9,
              "units_sold": 431,
              "period_start": "2026-02-02"
            },
            {
              "price": 29.9,
              "units_sold": 262,
              "period_start": "2026-02-09"
            },
            {
              "price": 21.9,
              "units_sold": 559,
              "period_start": "2026-02-16"
            },
            {
              "price": 27.9,
              "units_sold": 301,
              "period_start": "2026-02-23"
            },
            {
              "price": 23.9,
              "units_sold": 470,
              "period_start": "2026-03-02"
            },
            {
              "price": 18.9,
              "units_sold": 742,
              "period_start": "2026-03-09"
            }
          ],
          "confidence_level": 0.95
        },
        "type": "http",
        "method": "POST",
        "bodyType": "json"
      }
    },
    "schema": {
      "type": "object",
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "required": [
        "input"
      ],
      "properties": {
        "input": {
          "type": "object",
          "required": [
            "type",
            "method",
            "bodyType",
            "body"
          ],
          "properties": {
            "body": {
              "type": "object",
              "required": [
                "observations"
              ],
              "properties": {
                "currency": {
                  "type": "string",
                  "default": "EUR",
                  "maxLength": 3,
                  "minLength": 3,
                  "description": "ISO 4217 code for every amount in this request. Not converted, only carried through."
                },
                "unit_cost": {
                  "type": "number",
                  "maximum": 100000000,
                  "minimum": 0,
                  "description": "Variable cost per unit. Required for the contribution-optimal price; without it only the elasticity is returned."
                },
                "price_grid": {
                  "type": "array",
                  "items": {
                    "type": "number",
                    "maximum": 100000000,
                    "exclusiveMinimum": 0
                  },
                  "maxItems": 200,
                  "description": "Candidate prices to evaluate with predicted units and contribution. Evaluated at the fitted model, in the order you give them."
                },
                "observations": {
                  "type": "array",
                  "items": {
                    "type": "object",
                    "required": [
                      "price",
                      "units_sold"
                    ],
                    "properties": {
                      "price": {
                        "type": "number",
                        "maximum": 100000000,
                        "description": "Selling price in that period. Must be positive: the estimation is on logarithms.",
                        "exclusiveMinimum": 0
                      },
                      "promotion": {
                        "type": "boolean",
                        "default": false,
                        "description": "Whether the period was a promotion. Enters the fit as a separate indicator when include_promotion is true, so that a campaign is not attributed to the price."
                      },
                      "units_sold": {
                        "type": "number",
                        "maximum": 1000000000,
                        "minimum": 0,
                        "description": "Units sold at that price. A zero cannot enter a log-log fit and is excluded, reported and never silently dropped."
                      },
                      "period_start": {
                        "type": "string",
                        "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
                        "description": "Optional period label as YYYY-MM-DD, passed through unchanged."
                      },
                      "competitor_price": {
                        "type": "number",
                        "maximum": 100000000,
                        "description": "Competitor price in that period. Only used when include_competitor_price is true; you bring the figure, nothing is looked up.",
                        "exclusiveMinimum": 0
                      }
                    },
                    "additionalProperties": false
                  },
                  "maxItems": 2000,
                  "minItems": 4,
                  "description": "Your own price and sales history for one SKU. Every amount is in the currency named at document level."
                },
                "confidence_level": {
                  "enum": [
                    0.8,
                    0.9,
                    0.95
                  ],
                  "type": "number",
                  "default": 0.95,
                  "description": "Confidence level for the elasticity interval. Student t, not normal."
                },
                "include_promotion": {
                  "type": "boolean",
                  "default": false,
                  "description": "Whether to add the promotion indicator as a regressor."
                },
                "include_competitor_price": {
                  "type": "boolean",
                  "default": false,
                  "description": "Whether to add the log competitor price as a second regressor and report the cross-price elasticity. Every observation must then carry competitor_price."
                }
              },
              "additionalProperties": false
            },
            "type": {
              "type": "string",
              "const": "http"
            },
            "method": {
              "enum": [
                "POST",
                "PUT",
                "PATCH"
              ],
              "type": "string"
            },
            "bodyType": {
              "enum": [
                "json",
                "form-data",
                "text"
              ],
              "type": "string"
            }
          },
          "additionalProperties": false
        }
      }
    }
  }
}

Provenance

Seen in the source catalog
2026-08-20 06:44Z
Last indexed by Roundhouse
2026-09-19 06:40Z
Last enriched (probe, favicon, geo)
2026-09-23 17:15Z
x402 version
2
Max timeout
300s
Liveness probe
HTTP 402
Report

Hand this page to an agent

Copy the prompt and paste it into Claude, an MCP client or your own agent — it will vet this service and call it over the free read API. No key, no account.

GET api.roundhouseai.io/v0/endpoints

This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 26 snapshots so far. Verified volume counts only settlements with an on-chain EIP-3009 marker.

Open skill.md
Show the prompt
Using Roundhouse, look up the x402 service handel.halowerk.com and tell me whether it is
worth paying: what a call costs, whether the endpoint answered when last probed, and what
its payment record actually shows.

curl -s 'https://api.roundhouseai.io/v0/endpoints?q=handel.halowerk.com'
curl -s 'https://api.roundhouseai.io/v0/merchants/<the payTo wallet returned above>'

Then call it: read the price from the live 402 at https://handel.halowerk.com/v1/price-elasticity, never from
a cached figure, and pay with an x402 client.

The /v0 API needs an API key (`authorization: Bearer rh_live_…`) on everything except
/v0/unified* and /v0/endpoints. Mint a personal key for $0.01 at GET https://api.roundhouseai.io/v0/test/x402,
or use an organization key from https://roundhouseai.io/dashboard/team.

If you do not have Roundhouse tools or skills installed, read
https://roundhouseai.io/skill.md first — it is the whole procedure.